Ambient Scribes

Videra Health builds multimodal artificial intelligence for behavioral health, analysing what a patient says, how they say it, and how they look while saying it. The platform sends asynchronous video, voice or text check ins that patients complete on their own devices in roughly three minutes, and scores them against established clinical instruments. Three model families work together: language models reading transcribed speech for markers such as absolutist phrasing, word complexity and sentiment; acoustic models extracting speech rate, pause duration, pitch variation and articulation; and computer vision models reading facial movement, microexpressions and affective state. The company publishes a model table, which is rare in this index. Five named models each carry a clinical application, a reported area under the curve and a modality: PHQ-V for depression screening at 0.88 to 0.90, GAD-V for anxiety at 0.90, PCL-V for post traumatic stress at 0.85 to 0.90, EPDS-V for postpartum depression at 0.89, and a video model for tardive dyskinesia at 0.87 to 0.92. The video instruments were developed in house as video native versions of the standard written scales by the co founder and chief clinical officer. The product line spans the patient journey rather than a single moment. Front Door answers inbound patient inquiries around the clock and captures scheduling preferences, Intake Accelerator moves clinical history and paperwork to the patient's own time, Assess runs continuous check ins between and after visits, Sidekick Notes documents sessions ambiently, Group Notes documents group therapy while separating individual patient voices, and Sidekick Elevate returns communication pattern data to clinicians as coaching. A separate life sciences line applies the same capture infrastructure to clinical trials and post market studies. TDScreen, a tardive dyskinesia screening tool, is offered free to any provider or patient. Reported scale is more than 300 facilities and over one million patient interactions, with more than 100,000 notes generated and a claimed 94 percent completion rate on assessments. Named deployments include Discovery Behavioral Health, which launched a platform called Discovery365 in collaboration with Videra and Brigham and Women's Hospital, and work through the Medical Technology Enterprise Consortium aimed at preventing suicide related deaths among service members. Integrations are named with Kipu, Alleva, BestNotes, BlueStep, Zoom, Epic and Cerner. Academic collaborations are stated with the University of Utah and the University of Texas. Founded in 2019 in Orem, Utah. Roughly 8.6 million dollars is disclosed across a 3 million dollar seed in 2021 and a 5.6 million dollar second seed in May 2024, both led by Peterson Ventures, with Mercato Partners, Epic Ventures, Philo Ventures, Rose Park Advisors and OATV also named. Two cautions belong on the face of this record. The company describes itself as FDA registered and displays that phrase as a badge alongside its HIPAA and security marks. Establishment registration and device listing is a filing obligation, not a review of safety or effectiveness, and it is neither clearance nor approval. No clearance was located for any product. Separately, all five peer reviewed publications are authored by company staff, and the named scientific advisor is a co author on both tardive dyskinesia papers, so the evidence base is genuine, published and internally generated rather than independently replicated.

Clinical artificial intelligence for mental health, and the most heavily regulated and best evidenced record in this index. London based, founded 2017 by a team including Dr Ross Harper, chief executive; one source gives 2018. Limbic Access is an artificial intelligence triage and clinical assessment assistant that conducts a conversational psychological assessment supporting patient self referral, classifying the eight common mental health disorders treated by the national talking therapies programme at a stated 93 percent accuracy. In January 2023 it became the first and only artificial intelligence mental health chatbot in the world to obtain Class IIa medical device certification under the United Kingdom conformity regime, audited by a named certification body against clinical effectiveness, safety and risk management. Limbic Care is a clinical assistant for caseload management and continuous patient support, now including ambient scribe functionality that captures conversations, generates letters and standardises notes, carried under a separate Class I device classification. Deployment is at national scale within one health system. Tools have delivered assessments for more than 650,000 patients, across 66 percent of integrated care boards in England and roughly 45 percent of talking therapies services. Funding includes a 14 million dollar Series A led by Khosla Ventures with participation from Gaingels and the family office Illusian, alongside expansion into the United States. The evidence base is unlike anything else in this index. The company reports two publications in a leading peer reviewed medical journal: a 2024 study on improved accessibility for minority groups, and a randomised double blind clinical trial reporting that specialist trained clinical agents delivered cognitive behavioural therapy outperforming both human clinicians and general purpose large language models, built on a cognitive layer architecture the company calls the Limbic Layer that sits above foundation models. Recorded as the company states it. Neither paper was retrieved and read in this pass, and the trial result in particular is an extraordinary claim that a buyer should verify at source before relying on it. Trust disclosure is correspondingly detailed: information security and cyber certification, the national clinical risk management standard for health software manufacturers, a named data protection officer, individually enumerated patient data rights, a breach notification commitment, and a stated practice of stripping patient identifiable information from incoming referral records. One statement deserves particular attention and is treated carefully on the security axis: the company describes itself as compliant with the main information security standard while separately describing a different scheme as a held certification, and compliant is not certified. The gap across this record is commercial. No pricing, unit of charge or licensing basis was located anywhere.

Augmedix is the ambient documentation business that kept people in the loop and charges for it. Founded in San Francisco in 2012 by Ian Shakil, who remains chief strategy officer, it listed on Nasdaq before Commure acquired it in July 2024 for around 139 million dollars in equity value at 2.35 dollars a share. It now operates as a wholly owned subsidiary with its own brand, product line and contracts, which is why it holds a record here rather than being folded into its parent's. The product line is organised by how much human involvement a customer buys. Augmedix Live provides synchronous documentation and point of care support with trained documentation specialists working during the visit. Augmedix Go is an autonomous mobile application for lower complexity settings, with Go ED a variant for emergency medicine producing draft notes in moments. Go Assist produces documentation asynchronously from recorded visits, and Augmedix Prep prepares the chart before the patient arrives. Capture is by smartphone or lightweight headset, and a combination of models and trained scribes produces a structured note that reaches the record during or immediately after the visit. The company has invested in automation to reduce the scribe effort behind each note while keeping human review available for complex or high stakes encounters. Its roots are in emergency medicine, hospital medicine and specialty outpatient care, and it served more than 20 major health systems and hundreds of sites of care at the time of acquisition. In January 2025 it was awarded a contract with Vizient covering Go, Assist and Live. Vizient serves more than 65 percent of United States acute care providers and 97 percent of academic medical centres, representing over 140 billion dollars in annual purchasing volume. While listed, the company reported 45 million dollars of revenue in 2023, up 45 percent, against a net loss of 19 million dollars.

Solventum's Health Information Systems business is the incumbent that most of the clinical documentation market is competing against, and it is the largest deployment in this index by a wide margin: 1.4 billion dollars in annual sales, solutions in more than 30 countries, use by more than 75 percent of United States hospitals, and roughly 660 million clinical documents processed every month. The company was spun out of 3M in April 2024 and is listed as SOLV, based in Minnesota. This record covers the Health Information Systems segment only, which is led by Garri Garrison and rests on more than 40 years of medical coding expertise inherited from 3M. It includes M*Modal, acquired by 3M in 2019, and the 360 Encompass platform. The segment has three parts. Revenue cycle covers computer assisted physician documentation, direct to bill and coding automation, and clinical documentation integrity that identifies gaps in the patient story to improve quality metrics, risk adjustment and revenue capture. Performance management covers the classification and grouping methodologies that turn clinical information into the categories used to measure quality and determine payment. Speech and ambient covers speech recognition and ambient documentation, which captures audio of the clinician, the patient and any family members present and produces the visit document into the record system. On 5 August 2026 Solventum announced its intention to separate this business entirely, describing it as a scaled healthcare software company operating in a 10 billion dollar market growing 5 to 6 percent a year, and targeting completion within 12 to 18 months. Anyone evaluating this product is evaluating a business that expects to have different owners and different management inside two years. The company had already sold its purification and filtration business in September 2025.

Pabau is a practice management platform for private clinics and medical spas, and the artificial intelligence product inside it is Pabau Scribe, an ambient medical scribe that generates structured clinical notes from a consultation. The wider platform covers booking, the clinical record, digital intake and consent forms, injection plotting and body mapping, before and after photography, prescriptions, payments, inventory, marketing and reporting, and the company states it is used by more than 3,500 healthcare practices worldwide. The scribe itself publishes an oversight step most competitors leave implicit: notes are generated ambiently and reviewed by the clinician before entry into the record. It offers configurable specialty templates and documentation frameworks built for aesthetic and wellness treatments, and the company's stated design argument is that keeping documentation inside the same platform as the record avoids passing patient data to an external tool with separate governance obligations. It operates on both sides of the Atlantic, built for United Kingdom and European data protection law as well as United States health privacy law, and is registered with the United Kingdom Information Commissioner's Office under reference ZA478121. It states plainly that the clinic remains the data controller and that Pabau acts as processor. One disclosure on its trust portal deserves particular attention and is treated at length in the security note. Pabau publishes a set of certificates covering payment card standards, health privacy attestation, ISO 27001, the European operational resilience regime and cloud security, and states directly that these belong to the cloud and data centre providers hosting the platform rather than to Pabau itself. Founding year and headquarters were not confirmed in this pass and are left blank rather than guessed.

Artisight sells a smart hospital platform that turns a patient room into a sensed environment. A multi sensor network of cameras, microphones and positioning hardware runs computer vision and speech models on graphics processing units installed on site, and the system continuously observes the room and responds to what it sees and hears. The capability list spans several jobs the index usually treats separately: virtual nursing, virtual observation in place of an in person sitter, fall prevention, ambient documentation of room activity, two way audio and video for tele consultation, vital sign monitoring, indoor positioning, and surgical case length prediction in the operating room. The company describes itself as an ambient intelligence platform deployed across clinics, patient rooms and operating rooms rather than as a point solution. It was founded in 2015 by Andrew Gostine, a physician, and is based in Chicago. It raised a 42 million dollar Series B in January 2024 that was oversubscribed and included NVIDIA among the investors, followed by a further 40 million dollars reported in August 2025, at which point the platform was described as in use at 417 hospitals including Northwestern Medicine, WellSpan and the Guthrie Clinic. A notable feature of the capital structure is that many client hospitals are also investors. Northwestern Medicine is cited as reporting an 89 percent reduction in falls, a 52 percent reduction in nursing overtime and a 76 percent reduction in nursing turnover. In 2024 the chief executive stated that publication of these results in the peer reviewed literature was anticipated. No such publication was located in this pass.

Callyope is a Paris company building an audio and language foundation model trained specifically on psychiatric data rather than adapted from a general purpose speech model. Patients use a smartphone application for voice journals, short structured speech tasks, symptom self reports, or passive analysis of calls with designated caregivers, and the model combines that speech with smartphone sensor signals covering sleep and activity and with clinical information to produce continuous symptom scores between appointments. The clinician side adds case summarisation from uploaded records, consultation notes, referral and hospitalisation documents, and identification of gaps in medical coding. The founding team is a research team: Rachid Riad completed a doctorate at the Ecole Normale Superieure on automatic assessment of cognitive, linguistic and emotional disorders affecting speech in Huntington disease, and the company publishes at speech science venues, including two papers at Odyssey 2026, one on learning health related speech representations and one on approximate signal processing as a route toward homomorphic encryption for audio. A registered trial of voice based biomarkers for predicting schizophrenia relapse is running with an estimated 200 participants and completes in October 2026.

Uncovr turns operating room video into the operative report and the procedural codes that follow it. Computer vision models read the live feed from laparoscopic, robotic or endoscopic procedures, segment the operation into steps and instrument events, and produce a draft operative report plus CPT codes before the surgeon leaves the room. Every code is presented with linked evidence: the passage of the report that supports it and the video timestamp it came from. Founded in 2025 by Ines Iraki (chief executive), Johann Diep (chief technology officer, previously built autonomous tracking systems at the European Space Agency and ETH Zurich) and Professor Eric Vibert (medical co founder, Chief of Surgery at AP-HP). Offices in Paris and New York. A 7 million dollar seed round led by Index Ventures was announced in June 2026, with Seedcamp, Frst, No Label Ventures and Entrepreneurs First participating, alongside angels including Digital Surgery founder Jean Nehme and Color Health chief executive Othman Laraki. The company reports a deployment pipeline exceeding 400 operating rooms across the United States and Europe, and says roughly a third of its team are surgeons. It is filed here rather than under medical coding because the operative note is the primary artifact and the codes derive from it, and because the job is the ambient scribe job performed with a camera instead of a microphone. The company positions against dictation based scribing explicitly, arguing that surgical video is the ground truth an operative report should be reconstructed from rather than a surgeon's memory hours later. In June 2026 Uncovr became the first third party AI application deployed on Moon Surgical's Maestro platform, generating automated operative reports across an initial 20 cases at Institut Arnaud Tzanck in Nice.

Kennar Health, operating as Toothpicker Holdings and based in Hicksville, New York, sells what it calls an AI workforce for value based care networks. A scribe listens to the patient interaction and structures clinical data in real time, and an analysis layer surfaces HEDIS quality gaps and HCC risk opportunities from patient data so a provider can act inside the existing workflow rather than switching systems. It also automates transitions of care. Reported figures are 70 percent capture rates, a 0.2 risk adjustment factor lift and two hours per day saved, none of them substantiated. It describes EHR agnostic integration and a multi tenant architecture serving health systems, independent practice associations, accountable care organisations and management services organisations. It is filed under value based care intelligence rather than clinical summarisation, and cross listed into ambient scribes, because of what it delivers. The record is unified and insights are surfaced, but the measured outputs are captured codes, closed quality gaps and risk score movement rather than a summary a clinician reads. The reason this record is worth having despite thin evidence is a compliance argument nobody else in this index makes. Asked how its data holds up under RADV audit, the company answers that it captures HCC codes PROSPECTIVELY at face to face encounters with MEAT compliant documentation support, states that retrospective chart review is the primary driver of RADV clawback risk, and argues its point of care model removes that exposure by design. It further states that all data traces back to a face to face encounter with an approved provider type, meeting CMS encounter level evidentiary standards, and that output is standardised audit ready supplemental data rather than non standard manual submission. That distinction between prospective capture and retrospective review is the sharpest framing of audit risk found anywhere in this index, and it is discussed on the governance axis alongside the fact that the same company markets a specific risk score lift.

Apricot, based in Oklahoma City, builds AI documentation for home health and post acute care, and it is the fifth vendor in this index addressing that segment alongside Lime Health, Enzo Health, Andy AI and Roger Healthcare. Founder and chief executive Trent Smith ran his own home health and hospice agency for seven years before starting the company, and the product reflects that: it began with the Start of Care visit, the single most demanding documentation event in home health, where a nurse works through hundreds of required OASIS fields while the patient waits. Its architecture is deliberately different from every other home health vendor here and the company argues the difference openly. It is not ambient. Before a visit the clinician sees the referral document and attachments with an AI summary highlighting relevant history and areas of concern. During the visit the product captures structured content, time in home, consents, vital signs, assessments, photographs, notes and targeted clinician controlled audio, with an in home guide to prevent omissions. After the visit the clinician completes a guided interview and the documentation is drafted from that. The company positions this explicitly against what it characterises as riskier ambient approaches, and its own representatives state that it drafts OASIS forms from patient documents but does not replace clinical decisions, with transparent reasoning and agency review leaving final decisions with the team. Coverage of the Start of Care is described as complete, spanning medication reconciliation, wound documentation, calendar plotting, interventions and goals and narratives, with support extending to other OASIS, therapy and routine visits. It integrates with Netsmart myUnity, the post acute care record, and appears on the Netsmart marketplace with a co branded page, and it is also demonstrated for Axxess users. The company raised a Series A led exclusively by Insight Partners in October 2025, that investor's first investment in an Oklahoma company, with Cortado Ventures also on the register. Customers are described as ranging from regional operators to national leaders but none is named.

Matic, Inc. positions itself as an AI native clinical intelligence platform rather than a scribe, with the ambient documentation product Scribematic as its entry point and the stated ambition of running from capture through to claim. The platform spans panel management, pre visit chart preparation, ambient documentation, clinical summarisation across fragmented records, medical coding covering CPT, ICD-10 and evaluation and management levels, revenue cycle intelligence, inbox management, care coordination follow up, and an evidence backed decision support layer. Capture is multimodal, combining voice, text and structured data, and the system is described as a multi agent architecture with specialty tuned adaptive templates and support for more than 90 languages. It runs on Windows, macOS, iOS, Android, web, desktop, mobile and tablet. Three distinct go to market motions are published and they matter for how a buyer reads the product. Physician groups buy it as a platform. Independent clinicians buy it as a self contained documentation tool. And EHR platforms license it as embedded intelligence delivered inside their own product, marketed with the pitch that the EHR keeps its customers, its revenue and its edge, which makes Matic the seventh confirmed original equipment manufacturer relationship in this lane and one of only two marketed openly from the supplier side alongside Simbo. Two things separate this record from the rest of the long tail. Matic holds a genuine external assessment: KLAS Research has published a report specifically on Scribematic. And its security posture is the strongest found in this wave, with SOC 2 and ISO 27001:2022 both claimed as certified, compliance asserted across HIPAA, GDPR, CCPA and PIPEDA, and a live public trust center, which almost nothing else at any size in this category maintains. A named customer exists in Catalyst Health Group, whose Dr Christopher Crow appears in a published spotlight, and the logo wall carries athenahealth, Epic, Mayo Clinic, Privia, UrgentIQ, ChartPath, Lacenta and CHG, though the site does not state which of those are customers and which are integrations. Performance claims are the weak point and should be read sceptically: same day chart closure at 100 percent, more than two hours saved daily, and accuracy stated as 99 percent in one place and 98 percent in another, none with a method or denominator.

Canadian documentation tool built for medical specialists rather than for primary care, currently tuned for cardiology, internal medicine and oncology, and distinguished by treating pre charting as the main event rather than as a side feature. Three input modes feed one note. Clinicians snip text from prior reports, cath results, echoes, MRIs and stress tests, or upload whole referral packages, and watch the note assemble in real time. The system listens ambiently during the consultation and fills the history of present illness and plan. And it accepts dictation or transcription, sorting spoken content into the correct section rather than appending it. A companion mobile app adds a fourth path: photograph a blister pack, a prescription or paperwork the patient brought from another hospital, and medical grade OCR pulls the text into the documentation before the clinician sits down. The pre chart behaviour is worth examining closely and reflects well on the product. In the published cardiology example, past medical history, medications, allergies and family history are fully populated from prior documents while the sections that depend on the visit are left as explicit placeholders reading history to be documented during visit, examination pending, results pending. Marking what it does not yet know instead of generating plausible filler is the correct behaviour and very few products demonstrate it. Bilingual operation is designed in rather than bolted on. Tripletime states it handles switching between English and French mid consultation, auto syncing to the selected language and producing the note in the target language regardless of the input language, with medical vocabulary held accurate across both, giving CABG and pontage coronarien as the worked example. That is code switching claimed as an engineered property, which no other vendor in this index does. Specialty depth is named at instrument level for cardiology, with templates described as built by cardiologists who work with guideline directed medical therapy, coronary anatomy and high sensitivity troponin. An assistant layer generates referral letters, patient friendly after visit summaries and billing code suggestions, and answers questions against the full context of a patient's notes. Delivered as a desktop application with a synced iOS and Android companion, free for 14 days with no card required.

AI scribe and clinical document generator built by a team the company describes as doctors, engineers and support staff, led by cofounder and chief executive Naeim Abedi. The product generates clinical notes in real time during the consultation and extends into letters, referral documents, patient instructions, reports, plans and custom document types, with the stated design goal of handling long and complex consultations consistently rather than short simple ones. Two architectural decisions make this record worth carrying, and both are uncommon in the small vendor tail. The first is a privacy design rather than a privacy policy. MEDILIT states that transcripts are redacted before any analysis, with names, dates of birth, numbers and email addresses replaced by random values before the content is sent for processing, so that only clinically relevant information reaches the generation layer and no personally identifiable information is linked to the data being analysed. That is de identification as an engineering step rather than a promise about handling, and it belongs in the same class as the small number of vendors in this index that removed a risk by design instead of governing it. The company also states that data is encrypted in transit, at rest, and after processing. The second is that MEDILIT names its architecture: a multi agent system with a self auditing layer intended to catch omissions and maintain consistency across long consultations. Very little in this lane will describe an internal checking mechanism at all. A published AMD case study documents the product running on AMD Ryzen Embedded 8000 Series processors, which is a real named technology partnership and raises a question worth asking directly, since embedded silicon points toward local or edge inference rather than pure cloud processing. Pricing is published as a two tier Standard and Premium ladder with the gating disclosed and a genuinely open trial that grants full premium features with no payment details taken. Prices are quoted excluding GST, indicating the company sells into a GST jurisdiction rather than the United States, which matters because the HIPAA framing this index applies to US vendors may not be the relevant regime here.

Ambient scribe and coding platform launched October 2024 by Visionet Ventures out of Cranbury, New Jersey, after roughly two years of development and backed by 2 million dollars in seed funding. The company is small, in the range of one to ten people. It ships as two products. Reteta sKribe captures ambient audio without dictation and generates SOAP notes, after visit summaries, referral letters to other specialties and pre charting across more than 15 specialties. Reteta Bcoder handles the coding side, and real time ICD-10 and CPT suggestions surface during the encounter rather than afterwards. Integration is described as bolting onto any EHR through secure APIs and HL7 or FHIR, writing notes, coding and summaries back into Epic, Cerner, athenahealth and eClinicalWorks among others. Two capabilities are genuinely uncommon. The positioning is built on explainability, with the vendor stating that every entry in a generated note can be traced back to the point in the conversation it came from, which is the same architectural idea that makes Abridge's Linked Evidence the verification benchmark in this category, claimed here by a company a fraction of the size. And the after visit summary is generated to the patient's own health literacy level and preferred language, including education materials, treatment regimens and caregiver notes, which almost nothing else in this index attempts; most vendors treat the after visit summary as a formatting problem rather than a comprehension one. Reteta is also, so far as this index has found, the only vendor in the ambient category to publish an accuracy figure broken out by accent and dialect, reporting 86 percent across diverse accents. That is precisely the disclosure this index has asked the category for. It comes with two important caveats, both recorded on the transparency axis: the figure appears in a blog post comparing Reteta with a named competitor rather than in technical documentation, and the company publishes at least four different and unreconciled accuracy numbers across its materials.

Ambient scribe for home health clinicians, built around the OASIS and the routine visit note, and distinguished from the rest of that segment by how much of the work happens before and during the visit rather than after it. Ahead of the encounter Roger pulls referral documents, attachments and schedules from the agency EHR, summarises what the company describes as hundreds of pages of discharge paperwork into a readable referral summary, and pre fills OASIS fields such as past medical history so the clinician arrives prepared. During the visit it listens ambiently and prompts the clinician about items they have not yet addressed, while they are still in the patient's home, which is compliance feedback at the point of care rather than a QA query days later. Afterwards the clinician can add sensitive or additional detail by dictation, and Roger combines the recordings with the referral information to complete the chart. The company is unusually direct about its integration mechanism, describing a proprietary robotic process automation system that syncs into the EMR in near real time without changing existing workflows. Most vendors in this lane describe RPA as integration; naming it is a candour worth noting, and it also tells a buyer exactly what kind of brittleness and audit trail questions to ask about. The underlying model is described as a multi stage pipeline trained on millions of rows of home health visit data, and the product handles the parts of the assessment that generic scribes struggle with, including wound measurements, medication reconciliation, the Plan of Care, and named OASIS items such as the M1800 series and GG functional scores. Multi language capture is supported. Roger Healthcare spun out of Cornell, pairing AI researchers with operators from the home health industry, and is based in the San Francisco Bay Area. New Day Healthcare, a home health organisation reported at 17,000 patients across six states, has deployed it company wide.

Ambient scribe built for home health field clinicians and structured entirely around the OASIS, the federally mandated assessment instrument that drives both quality reporting and episode payment under PDGM. A nurse or therapist starts recording in two taps and does the visit; Andy drafts the whole chart including assessment, narrative, wound documentation, medication list and the OASIS itself, and the clinician reviews it rather than writing it, turning what the company describes as a 90 minute documentation task into a 15 minute review. The mobile app also captures images, so wound documentation is photographed rather than described, and the completed chart is written into the agency EHR, which the agency must connect to Andy's cloud for the OASIS to appear. The product sells as three connected modules rather than as note generation alone. Scribing captures the visit. A built in QA layer reads the full history and physical, keeps medication lists consistent, resolves contradictions in the chart and aims at survey ready documentation on the first pass. Coding produces billing ready output with clinician confirmation inside the app. The commercial argument is that the bundle costs less than agencies typically pay for QA and coding as separate services, which positions Andy against a services line item rather than against other scribes. Founded 2023 by Tiantian Zha, previously a product manager at Google and at Verily, and Max Akhterov, a physicist who was a staff engineer on Apple's health team working on passive detection algorithms for the Apple Watch. Y Combinator Winter 2024 batch, roughly 625 thousand dollars raised from Y Combinator, F7 Ventures and Headwater Ventures. The figure buyers should examine most closely is the reported 7 percent case mix increase, since case mix determines what a 30 day home health episode pays.

Ambient AI scribe from a small Canadian seed stage team, notable in this index for two things: the breadth of clinical settings it reaches for its size, and one of the most complete published price ladders in the category. The scribe listens during the encounter, generates structured SOAP, DAP, BIRP and specialty notes, and returns them for clinician review and approval before export. Coding support spans ICD-10, CPT and OHIP, the Ontario physician billing schedule, which is unusual: almost nothing else in this index handles Canadian provincial billing alongside US code sets. Code suggestions are presented with supporting context and confidence levels rather than as bare codes, a per suggestion confidence signal that very few vendors in this lane expose at all. Setting coverage is the standout. The product reaches dentistry, plastic surgery with the cosmetic versus medically necessary distinction preserved in the documentation, dermatology with spoken lesion descriptions tagged onto a body map and a pathology requisition pre filled, paediatrics with growth charts updated and age specific anticipatory guidance inserted, physiotherapy, sports medicine, psychiatry and behavioral health. Integration runs through browser extensions and APIs, with confirmed connections to Jane, WebPT and Empower PT and a strategic partnership with C3 EMR for native ambient documentation. The company states plainly that for hospital grade systems the depth of bidirectional sync requires validation and that some workflows still rely on structured export rather than full native write back, a candour about its own integration ceiling that most vendors avoid. Pricing is fully published at a free tier of 40 notes a month, Plus at 79 dollars per user per month, Pro at 125 dollars and custom enterprise terms, with the gating disclosed: billing code suggestions, PDF form filling and voice intake are Pro only. Founded 2024 by Max Chan, Kevin Ouyang, Shreyas Suri and Adil Mohammed, with Suri as chief executive; seed funded across two rounds and roughly nine employees. Two cautions belong on the record. Its own materials name Kaiser Permanente and the University of British Columbia among organisations it serves, which is a large claim for a company of this size and stage and should be verified directly rather than taken at face value. It also publishes ranked listicles of the best AI scribes on its own domain placing itself first, which is marketing rather than evidence and should not be read as third party assessment.

iOS first ambient scribe from OrbDoc, Inc., shipped as the OrbVoice app and aimed principally at solo clinicians and small practices. The clinician records the encounter, the system identifies speakers and returns a structured draft in real time, and the note is reviewed before it goes anywhere, with the workflow spanning phone and tablet so a note started on rounds can be finished at the nurses' station. Unlimited dictation, audio playback of past recordings, one tap discharge summaries and adaptable note structures make up the described feature set, with target settings named as emergency, cardiology, family medicine, paediatrics, mental health and rural hospitals. The company also publishes a substantial free coding and billing toolset around the scribe, including a CPT code database, an RVU calculator, a code validator, a bill analyzer and an NCCI bundling checker, the last of which is a compliance instrument rather than a revenue one since it exists to catch improperly unbundled claims. One genuine transparency positive stands out: OrbDoc names its model stack, stating it is built on DeepGram Medical Nova 3 and Google Cloud AI with proprietary medical algorithms on top. Most vendors in this category will not say whose speech and language models they run, and a buyer who knows the stack can reason about the sub processor chain and where audio actually goes. This record was re graded on 24 July and buyers should understand why. OrbDoc publishes a large set of per EHR integration landing pages, one for each major system, which describe seamless bidirectional exchange over HL7 FHIR across clinical, administrative and revenue cycle modules, support for on premise deployments, a 75 percent reduction in documentation time, immediate deletion of audio, full business associate agreement coverage and full HIPAA compliance. The vendor's own FAQ, which is where a clinician goes to ask, says the product is currently available on iOS devices only, gives no accuracy figure, states only that data is encrypted in transit and at rest, and when asked directly whether OrbDoc is HIPAA compliant does not answer yes. Those positions cannot all be correct at once, and this index grades the more careful statement rather than the marketing one. Nothing here establishes that the product is non compliant or that the integrations do not exist for enterprise implementations. It establishes that the claims differ by page, and that anyone evaluating this product should get the EHR mechanism, the audio retention period and the BAA confirmed in writing before recording a patient.

Nudge AI is a behavioral health documentation platform for psychiatrists, psychologists, therapists, counsellors and psychiatric nurse practitioners, producing psychiatric evaluations, therapy progress notes and treatment plans, and reaching into level of care documentation that most competitors ignore, including partial hospitalisation daily progress notes for substance use disorder programmes written to Medicare requirements. Its transfer mechanism is more capable than the paste workflows common at this end of the market: a Chrome extension it calls EHR Copilot fills fields in the record with one click, including checklists, radio buttons and structured fields rather than dropping a block of text. It carries three named controls rare at this size, AES-256 encryption, audit logging and consent tracking, the last being a feature almost nothing else in this index ships. The reason to read its coding behaviour closely is that it does not only suggest codes: it identifies billing opportunities such as psychotherapy add ons and automatically generates the justifications for them, which is producing the evidence that supports a claim rather than recording what happened.

LucasAI, from Lucas Health, is a physician built ambient scribe reporting internal outcome data across more than 1,200 providers, and its setting coverage is unusually wide for its size. Primary care work targets HCC and V28 risk adjustment, prior authorisations and care compliance gaps; hospital medicine gets rounding documentation and one click discharge summaries for emergency, urgent care and inpatient settings; surgical centres get pre operative evaluations, operative and post operative documentation and surgical risk assessments, which almost nothing else in this index attempts; and behavioral documentation includes automatically generated PHQ and GAD assessments. It produces CMS compliant ICD-10, CPT, HCC and RAF coding and offers to bill directly from the transcription, framed as avoiding clawbacks and denials rather than as revenue lift. One claim needs reading carefully: the marketing describes seamless EMR integration compatible with leading records, while the company's own explanation is that it requires no connectors because the clinician copies and pastes the note or sections of it.

Wavo Health describes itself as an AI clinical workspace rather than a scribe alone, turning conversations into notes, visit preparation, patient context, coding cues and follow up content, with an AI clinical assistant that answers questions about medications, billing codes and patient history. Its specialty work is the reason to look at it, because it is specified at the level of the instruments clinicians actually use rather than as a template count. Its rheumatology support documents tender and swollen joint counts and assists with DAS28, CDAI and RAPID3 disease activity scores; its oncology support handles TNM staging, chemotherapy, radiation and immunotherapy regimens and prepares tumour board summaries; its internal medicine coverage extends to admission histories, daily progress notes, discharge summaries and transitions of care, so it reaches inpatient note types most outpatient scribes ignore. It also generates patient education materials, syncs between mobile and desktop mid workflow, and states a review, edit and approve sequence before a note is used. No EHR integration is documented anywhere.

Enzo Health builds AI documentation for home health, and its ambition separates it from the other vendor in that segment: where Lime Health syncs into the incumbent post acute EMRs, Enzo describes itself as an AI native home health EHR that replaces the legacy system and the point solutions running on it, covering referral intake, eligibility verification, scheduling, documentation, QA and billing as one episode. Enzo Scribe generates start of care and visit notes structured for OASIS-E1 fields, PDGM relevant diagnoses and care plan goals rather than narrative, adapts to an agency's own clinical terminology over time, and stores every note encrypted with a full audit trail. Two capabilities reflect real fieldwork rather than office assumptions: it works in low connectivity rural settings where cloud dependent tools fail, and a nurse can photograph a medication label and have it documented automatically, which is how medication reconciliation actually happens in a patient's home. Its stated design is to take the next step before anyone asks, with the team reviewing and approving afterwards.

Nextvisit AI is a New York company founded by a practising psychiatrist and a software engineer, building documentation exclusively for behavioral health across psychiatry, psychology, therapy and community mental health, for psychiatrists, psychiatric mental health nurse practitioners, psychologists, therapists, licensed clinical social workers and physician assistants. Its architecture is multi agent, with models that reference prior records, track clinical change and assemble patient timelines rather than producing one note at a time. That longitudinal orientation is the point of the product: it visualises milestones, clinical progress and key life events in one continuous view and tracks symptoms, medications, treatments and risk factors across visits, which matters more in ongoing psychiatric care than in episodic medicine. Behavioral specificity shows in its tagging for Spravato, TMS and lithium monitoring, the last requiring serial level checks that a general purpose scribe would not know to follow. A mobile companion called ClinicalConcert handles documentation away from the desk.

Cleo Health was founded by clinical AI researchers from Yale and works exclusively in acute care, emergency departments and inpatient medicine, across a reported 400 or more facilities. It began as an ambient scribe and expanded as customers asked for more, debuting its Acute Care OS at HIMSS in March 2026 to unify ambient documentation, charge capture, real time clinical documentation improvement and automated patient assignments in one workflow. Its documentation design addresses what actually makes acute care hard rather than treating it as a faster clinic visit: layered context across a stay, repeated re evaluations of the same patient, and handoffs between clinicians, plus a QuickStart mode that lets a provider defer patient registration during an emergency and complete it later. The platform's commercial centre of gravity is revenue integrity: real time CDI queries and granular medical decision making prompts are designed to encourage documentation specificity at the point of care, which supports DRG assignment and reimbursement, and that mechanism deserves as much attention as the time saved.

Attend Health, founded by a practising physician and reached at attend.health rather than the attend.ai your list carried, sells AI scribing, documentation compliance auditing and coding intelligence as one platform on the premise that no two clinicians document the same way. Its distinctive design is a closed loop between the two halves: Attend Audit identifies quality and compliance issues in the documentation clinicians are already producing, and those findings are then fixed by updating the Attend Scribe configuration, so an audit finding changes how the scribe behaves rather than generating a report nobody acts on. Coding suggestions and quality checks run on the same engine and are delivered with clear explanations, aimed at preventing compliance and coding errors rather than catching them afterwards. Configuration is an ongoing service rather than an onboarding step, with the vendor refining output until it matches a clinician's practice and updating it as protocols change. Its commercial framing runs both directions, recovering revenue documentation has been hiding while managing audit risk.

Medscape Scribe is a free ambient documentation tool launched in October 2024 by Medscape, the clinical information service, available inside the Medscape mobile app and website that a very large share of United States physicians already use daily. It transcribes the visit in real time and produces customisable summaries against widely used templates including SOAP, history and physical, and the problem oriented medical record, and it includes a review feature the company calls Scribecheck. Its data commitment is specific rather than general: transcripts are automatically deleted after 72 hours. Availability is limited to physicians in the United States. Its significance is distributional rather than technical. Alongside Doximity Scribe and athenahealth's athenaAmbient, it is the third capable scribe given away free inside a channel that already reaches most of the profession, and together those three put a ceiling on what the middle of this market can charge for note generation alone.

Marvix AI is built for specialty care rather than the short general outpatient visit most scribes assume, targeting long consults, complex histories and longitudinal care across neurology, oncology, orthopaedics and nephrology, with a claimed 135 or more specialties and subspecialties. It treats documentation as continuous rather than per encounter: pre charting pulls the schedule, prior notes, labs, imaging and medications before the visit, the encounter is captured or dictated, and context carries forward into composite notes and patient recaps. It names its personalisation technique, neural style transfer, to adapt phrasing to each clinician's existing documentation style, and it generates E/M levels, ICD-10 codes, modifiers and add on codes accompanied by explicit medical decision making rationale so a clinician can see why each was proposed. Integration is two way across a named list including athenahealth, Veradigm, AdvancedMD, eClinicalWorks, ModMed, DrChrono and NextGen. Its 30 day trial includes full features and full EHR integration, which the vendor rightly notes is unusual.

CareCortex is the clinical documentation platform from NeuroReef Labs, a Mountain View company that also builds MedAura, a separate evidence retrieval product using the GRADE framework. CareCortex covers more of the visit than the note: automated pre charting pulls the referral letter, prior notes, vitals, medications and current diagnoses into the active note as patient insights before the encounter, multilingual transcription handles the visit itself, CPT and ICD-10 codes are generated from it, and visit summaries and follow up instructions are sent to the patient by secure email afterwards. Two features are unusual for a product of this size and are the reason to look at it: real time compliance validation checking documentation as it is produced, and audit logs recording what happened. It states HIPAA and SOC 2 compliance, though the wording attributes that posture to a partnership with a secure infrastructure provider rather than to the vendor's own audited controls, which is a distinction worth pressing.

Lime Health AI builds Lime Scribe for home health and hospice, a setting almost nothing else in this index serves, and the difference is regulatory rather than cosmetic. Home health documentation is not a SOAP note: it is the OASIS-E2 assessment, the HOPE hospice evaluation, and ICD-10 coding that drives PDGM payment grouping. Lime captures the visit ambiently and auto populates those structured instruments rather than producing narrative, flags missed OASIS sections and weak narratives in real time while the clinician is still in the patient's home, and maps each suggested code to the documentation supporting it. Its oversight model is the strongest located anywhere in this index: a certified home health coder verifies every OASIS item, code and visit detail before anything reaches the EHR, included by default on every engagement rather than sold as a tier, with an audit logged review trail. It syncs bidirectionally with WellSky, MatrixCare, HCHB, Axxess, DSL and Netsmart, effectively the whole post acute EMR market, and works in English or Spanish on iPad and phone for field clinicians.

Beam Health began as a telehealth and virtual workstation platform covering video consultation, scheduling, payments and patient marketing, then pivoted into ambient documentation with a scribe originally branded Shine AI and now presented simply as AI Scribe, one of five modules alongside AI Intake, AI Revenue, AI Growth and AI Support. Its platform logic is stated openly: the more of the patient journey a practice runs on Beam, the more capable the system becomes. Two structural facts distinguish it. It is API first, and it documents how another company can embed the scribe into its own product through roughly three endpoints, autoscribing a consultation, producing SOAP notes, looking up billing codes and posting to the record automatically. And unusually for this category it has publicly named its underlying model provider, stating in 2023 that its AI features were built on OpenAI models. Its AdvancedMD integration is consent gated, with the vendor stating that patient consent is required and no data is transmitted without it.

QiiQ Healthcare, pronounced quick, is a Vancouver company whose scribe is built specifically for the emergency department rather than adapted to it. That focus shows in the engineering: it filters emergency department background noise, and its prompts are tuned for the non linear workflows and clinical anomalies of emergency care, where a physician moves between several patients, is interrupted repeatedly and returns to encounters out of order. Ambient capture distinguishes the physician's voice from the patient's and populates history of present illness, review of systems, exam and assessment and plan automatically, with an explicit in progress, complete and archive workflow so a note is only finished once the physician has edited and marked it. It runs on iOS, Android and web with biometric and QR login, and the company states a roadmap from the emergency department to the wider hospital and then outpatient care. Two limits matter: EMR integration is available on request rather than shipped, so the default path is copy and paste, and this Canadian vendor cites the United States HIPAA standard without naming any Canadian privacy regime.

Aesthetics360 builds a multi agent AI platform for elective care, covering aesthetics, plastics and venous medicine, in which A360 Scribe is described as the sensory layer feeding A360 Notes for documentation and A360 Plan for treatment planning. Its language models are genuinely domain tuned: the company illustrates the point with the phrase eleven lines, which in an aesthetic consultation may mean facial anatomy or product units depending on context, an ambiguity generic transcription mishandles. Capture is described as running on device redaction and encryption at the point of capture. What distinguishes this product from every other scribe in this index is what it is designed to extract. Alongside clinical content, A360 Scribe explicitly captures revenue signals, patient motivations, timing cues, decision language and pricing discussion, and the platform analyses every transcript to surface conversion leaks, reactivation and campaign opportunities and to give staff performance feedback. It is a clinical documentation tool and a sales intelligence system sharing one recording, and both halves belong in an evaluation.

Aura AI Scribe is the flagship product of Insight Health AI, an Austin company founded by practising physicians which raised an 11 million dollar Series A in April 2026. Your list carried it twice, as InsightHealth Aura AI Scribe and as Aura AI Scribe; they are one product. It performs speech recognition with speaker diarisation, generates specialty aware notes against templates customisable per specialty, practice or individual provider with section level instructions guiding the model, synthesises patient history before the visit begins, and suggests ICD-10 and CPT codes. It carries an Epic Toolbox designation in the Ambient Voice Recognition Notes category, meaning it follows Epic's recommended connection practices and launches directly from the Haiku mobile app, and it is listed on the athenahealth Marketplace alongside integrations with eClinicalWorks and AdvancedMD. It also sells Aura Anywhere, a white label version for EHR vendors returning structured JSON mapped to the partner's own data model. The scribe sits inside a wider agent platform covering front desk, phone triage, referrals and pre visit patient interviews.

Sporo Health, founded 2024, builds a multi agent documentation system on fine tuned medical language models rather than a single general purpose model, with agents that adapt to each clinician's specialty and learn from their edits. Alongside the scribe it runs a patient chart review agent that assembles a history from hundreds of documents and surfaces allergies, chronic conditions and social determinants, plus a cardiology workflow covering echo interpretation and risk stratification. Its positioning is explicitly against pure transcription tools, which it calls faster horses for speeding up an inefficient process without rethinking it. Two things separate it from the rest of the long tail. It published a comparative evaluation of its own scribe on arXiv, measuring clinical content recall, precision and F1 against clinician written notes as ground truth and adding clinician satisfaction ratings on the validated PDQI-9 instrument. And it runs private model instances per client, so one customer's content does not commingle with another's model. Capture spans English, German, Spanish, Hindi, Greek and Arabic among others.

ScribeMD is a self serve ambient scribe claiming more than 3,000 physicians, generating notes in under 30 seconds across a stated 50 or more specialties including dentistry, psychiatry and cardiology, with SOC 2 certification and HIPAA compliance. Two things make it stand out in a crowded self serve field. It publishes a specific multi speaker capacity rather than a vague claim, supporting up to nine speakers, and that capability sits in the free tier rather than behind a paywall, which matters for paediatric, family and interpreter present encounters that most competitors handle poorly. And its own site is localised into eight languages including Korean, Japanese, Arabic and Greek, which is wider international reach than anything else assessed in this category. Its pricing ladder is fully published, from a free tier through a flat unlimited plan to a custom enterprise tier. One detail in that ladder is worth reading closely: the ability to customise data retention and deployment is an enterprise feature, which means default retention is neither published nor controllable below that tier.

Skriber is a self serve ambient scribe covering SOAP, history and physical, discharge, intake, DAP and custom note formats across web, desktop, tablet and mobile, with no IT setup required and a real time preview producing a ready to sign note. Its distinguishing feature is where it puts people. Rather than staffing human reviewers to check output, as ScribeAmerica, ScribeEMR and IKS Health do, Skriber assigns a team of prompt engineers to work with each new customer and tune the note output to that clinician's phrasing, structure and formatting during onboarding. That is human labour applied at configuration rather than at review, and it is a different answer to the same problem of getting output a clinician will actually sign. It names DrChrono, Epic, Practice Fusion and eClinicalWorks among supported systems, and it markets billing code accuracy heavily, claiming the most accurate codes of any scribe on the market, a superlative that cannot be tested. It appears on several independent software review directories, where user feedback is genuinely mixed.

Scribeberry is a Canadian ambient scribe built for both Canadian and United States practice, claiming more than 30,000 providers, and it publishes the most complete data handling position located in this index: SOC 2 Type 2 certification, compliance with HIPAA, PIPEDA, PHIPA and Quebec Law 25, business associate agreements signed, AES-256 at rest and TLS 1.3 in transit, enforced regional residency keeping Canadian data in Canada and United States data in the United States, audio never permanently stored, and patient data never used to train models. Its integration story is unusually honest about depth: native pull and push for Accuro, Oscar Pro and Jane App, a Chrome extension that pastes into Epic, Cerner, athenahealth and any web based record, and a desktop app for anything else, with every integration included in the published 99 US dollars per provider per month rate rather than charged as an add on. It also pre populates Canadian statutory paperwork including CRA Disability Tax Credit forms and provincial referral letters, and is preferred vendor to the Canadian Rheumatology Association. It publishes heavy comparison content ranking itself first, which should be read as marketing.

CareBeam is the New York company formerly known as ScribeAI Inc, which rebranded in April 2026 to signal a deliberate widening from ambient documentation into what it calls clinical intelligence: real time specialty aware notes, automated chart auditing for coding accuracy, E/M level recommendations and ICD-10 mappings, and on demand clinical guidance, all delivered inside the EHR the practice already uses. It is expanding into AI assisted order drafting. The company is unusually direct about why it moved, and buyers should read the reasoning rather than the branding. Its own account is that documentation was only the entry point, and that the larger problems sat downstream in inaccurate coding, missed revenue, and documentation that did not reflect the actual acuity of care delivered. That places it firmly on the documentation to revenue axis this index tracks, with the qualification that it frames the goal as accuracy rather than maximisation. It is sold to independent practices, multi specialty groups and value based care organisations.

TheraPulse is a small ambient documentation tool built for mental health clinicians, producing progress notes and summaries in around a minute across SOAP, DAP and BIRP formats. It accepts three input paths rather than one: live session recording, dictation after the session for clinicians who prefer not to record, or upload of an existing audio file. Its multi voice detection tags and separates speakers, which it positions specifically for couples, family and group therapy. Two things distinguish it in a crowded behavioral segment. It states plainly that recordings are used only for processing and are deleted immediately after transcription, which is the clearest deletion commitment located in this segment on the most sensitive audio in the index. And it publishes session volume based pricing rather than flat seats. It also publishes guidance on how to raise recording with clients, which is worth reading closely: the guidance affirms that recording is optional and consent based, and it also coaches clinicians on how to frame the request.

Empathia AI is a general purpose ambient scribe built deliberately for two markets at once, claiming compliance with HIPAA in the United States and PHIPA and PIPEDA in Canada with tailored EMR integrations for each, and holding preferred vendor status across multiple Canadian provincial programmes and Canada Health Infoway. Its coverage is unusually broad and enumerated, spanning psychiatry, paediatrics, oncology, ENT, allergy, emergency and chronic disease alongside nurse practitioners, physician assistants and allied health, with transcription in more than 30 languages and bilingual patient handouts. Several design choices address encounter conditions competitors avoid: multi speaker attribution built explicitly for visits where a family member or interpreter participates, recording of encounters up to two hours even on poor connectivity, a built in telehealth capability handling both phone and video calls with an auto generated note, dictation offering separate verbatim and AI assisted modes, and notes organised by problem rather than by visit. It is also offered as a member benefit through the American Academy of Family Physicians.

JotPsych is an ambient documentation product built exclusively for behavioral health and, unusually, covering its full scope rather than one corner of it: psychiatry, psychology, therapy and counselling, with 60 or more behavioral health specific note sections including psychiatric evaluations, medication management, therapy progress notes and intake assessments, plus templates for TMS, Spravato and polypharmacy. Coding suggestions cover ICD-10, CPT and DSM-5-TR, the last of which no general purpose scribe offers. It carries longitudinal context by referencing prior notes when drafting, accepts plain English editing instructions, and claims adoption across more than 10,000 behavioral health practices. It has since grown into a full practice platform bundling billing, credentialing, e-prescribing, scheduling and a website, positioned as one vendor replacing seven. That expansion is where a buyer should look hardest: JotPsych describes its notes as audit proof by design, carrying the detail, time and language payers want to see and documenting complexity to support the code, while its billing arm is paid a percentage of what it collects.

Scribble is the clinical documentation suite from IKS Health, and it is the most complete articulation of the automation to human review spectrum found anywhere in this index. Five tiers span the range: Scribble Now is fully automated, producing a note within about two minutes of the encounter ending; Scribble Swift adds trained scribe validation and returns problem based charting within an hour or two; Scribble Pro adds clinician level review with medications, problem lists and orders reconciled to eliminate hallucinations, plus E&M coding, delivered within four hours; Scribble Transcribe is ASR with human editing; and Scribble Live provides dedicated virtual scribes covering pre charting, live documentation and inbox management. What makes it structurally distinctive is not the tiers but the movement between them: an in built escalation path lets a clinician choose the level of support per encounter based on complexity, routing a straightforward visit to full automation and a complex or high risk one to clinician review, without leaving the workflow. IKS Health was named 2026 Best in KLAS for Virtual Scribe and offers direct access to Scribble inside Epic through the Connection Hub.

ScribeRyte AI is the ambient documentation product of ScribeEMR, a human medical scribe services company, and it articulates the automation versus human review tradeoff more precisely than anything else in this index. It ships in two tiers that are genuinely different products. With ScribeRyte AI Instant the system transcribes the encounter, identifies clinical elements including symptoms, vital signs, diagnoses, medications and plans using medical domain natural language processing, and the provider reviews and signs the draft themselves. With ScribeRyte AI Plus a trained human scribe reviews, refines and finalises the note before it is submitted to the record, so the clinician receives finished documentation rather than a draft. The vendor also discloses something most conceal: those human corrections are captured as track changes and used to train the models, which makes the human tier a quality mechanism and a model improvement loop at the same time, and means customer content demonstrably trains the system.

Playback Health was founded in New York by a neurosurgeon and two technologists, and it arrived at ambient documentation from an unusual direction. Its original product was a clinical multimedia communication platform for curating and securely sharing medical information between clinicians, patients and patients' families at the point of care, deployed with Northwell Health from 2019. AI documentation followed in March 2024, launched alongside a three year strategic partnership with Northwell, the largest health system in New York state. Playback Pro extends past the note: during an ambient encounter it identifies potential CPT and ICD-10 codes and captures the medical orders discussed, labs, imaging and referrals, writing them back natively rather than by copy and paste, with the stated aim of reducing code lag and documentation gaps. Its most distinctive capability is one to many multi clinician note collaboration and sharing across the patient journey, where almost every competitor assumes a single clinician writing a single note. It is also deployed at Life Link III, an air medical transport service, a setting nothing else in this index reaches.

SimboAlphus is the ambient documentation product of Simbo AI, and it is sold as much to other companies as to clinicians. Simbo states plainly that its partners include provider organisations, EHR companies, other AI scribe businesses and human scribe businesses, offering its stack either as a finished provider application across iPhone, Android, iPad and Mac, Windows and Linux desktops, or as APIs at several levels so a partner can present the capability natively in their own product. The API surface is described concretely: audio upload or websocket streaming, notes returned within about two minutes with annotated structured data, and separate endpoints to retrieve a quality score and metadata for a generated note. That last one is unusual and worth noting, because a programmatic per note quality signal is something an integrator can act on rather than a claim they have to trust. A caution when researching this vendor: Simbo publishes a very high volume of generic category blog content in which industry wide statistics sit alongside its product, and those figures should not be read as measurements of SimboAlphus.

Avo is a clinician built decision support platform whose foundation is content rather than a model: Avo Pathway is a library of digitised medical society guidelines and calculators, which health systems customise or supplement with their own protocols, and which knowledge publishers can embed their intellectual property into. The AI layer sits on top of that. Avo Assistant covers pre charting, care planning, ordering and ambient documentation, and Chart Assist produces a patient snapshot with care gaps, diagnosis and treatment recommendations. Its ambient scribe is therefore not a standalone note writer: it drafts orders, identifies care gaps, suggests dosing, and enhances notes with differential diagnosis, clinical documentation improvement and coding. Two capabilities stand out for this index. It captures conversations with three or more participants across 50 or more languages, naming child, parent, translator and clinician explicitly, which is the hard case most scribes avoid. And its recommendations are anchored to named published guidelines including society pathways, MCG milestones and RAND consensus pathways rather than to model inference alone.

Steer Health sells an AI agent workforce spanning the whole patient journey, from inbound call capture and scheduling through referrals, pre visit preparation, insurance verification and post discharge outreach, with documentation as one module called Tara. It reports 472 or more live locations across 100 or more health systems, names Prime Healthcare and Forum Health among customers, and writes bidirectionally into Epic, Oracle Health, athenahealth and a claimed 50 or more other systems with go live in three to four weeks. Two things a buyer should read together rather than separately. Tara is marketed on a 15 percent revenue lift from surfaced missed billing and coding opportunities alongside its time saving. And Steer prices on performance, stating that clients pay based on outcomes delivered rather than a flat software subscription. A documentation tool that surfaces coding opportunities, sold by a vendor paid on the outcomes it produces, aligns the vendor's compensation with the practice's coding intensity, which is a structure the compliance function should assess rather than the finance function alone.

Ambient IQ is the ambient documentation tool RXNT built in house and launched to its EHR customers in August 2025, then released standalone nationwide. RXNT has been building cloud EHR, practice management, billing and e prescribing software since 1999, and its pitch for Ambient IQ rests on that history rather than on model architecture: native integration that creates clinical encounters ready to sign rather than notes to paste, informed by more than two decades of clinical data. It supports both live capture during the visit and post visit dictation, and runs either inside RXNT or standalone with copy into any record system. What sets it apart in this index is commercial candour. RXNT publishes its entire price list publicly, includes Ambient IQ at no additional cost with unlimited sessions for EHR and Full Suite customers, and prices the standalone product openly after a free three month trial. It also states plainly which features standalone users do not get, which is a disclosure most vendors avoid.

CarePilot is the AI company behind EverHealth Scribe, and one of the clearest examples in this index of a vendor whose real footprint is invisible under its own name. EverCommerce announced a strategic AI partnership with CarePilot in March 2026 to power native workflow embedded intelligence across the DrChrono platform, and the operating figures published for EverHealth Scribe at launch, an average of eight minutes of documentation time saved per visit and a 32 percent increase in same day claim submissions, are explicitly attributed to CarePilot data. It also sells directly: CarePilot holds its own listing in the DrChrono Marketplace and clinicians authorise it per provider by signing in with their DrChrono credentials. A practice evaluating CarePilot against EverHealth Scribe is therefore choosing between two routes to the same intelligence, one branded by the EHR and one contracted with the AI vendor. See [[everhealth-scribe]] for the embedded deployment. Little else about the company is publicly documented.

EverHealth Scribe is the ambient documentation module launched in March 2026 inside DrChrono, the all in one EHR owned by EverHealth, the healthcare business unit of EverCommerce, a listed vertical software group serving more than 725,000 service businesses across healthcare, home services and wellness. It listens to the provider patient conversation and generates compliant structured visit notes inside the record, explicitly ready for provider review and approval, and is aimed at the independent practices DrChrono serves. Two reported figures came with the launch and both are unusually concrete for an announcement: an average of eight minutes of documentation time saved per visit, and a 32 percent increase in same day claim submissions. Worth noting alongside it, EverHealth separately announced a strategic AI partnership with CarePilot to power native workflow embedded AI across the DrChrono platform, so a buyer should establish whether the intelligence in Scribe is EverHealth's own or a partner's.

OmniMD has spent more than two decades building electronic health record, practice management and revenue cycle software for independent and multi specialty United States practices, and has layered an AI suite on top of it: an ambient medical scribe with speaker diarisation and multilingual processing, an AI Clinician adding coding suggestions, risk flags and medication contraindication alerts at the point of care, and an AI Front Desk handling calls, scheduling and insurance verification. It reports active deployments across more than 600 clinics. Two disclosures set it apart from most of this category. It states that all audio processing and note generation happens inside its own HIPAA compliant infrastructure and that no patient audio or clinical data routes through third party consumer AI services, which is a rare architectural commitment. And it states that the HIPAA business associate agreement is included at no extra cost, a question most vendors leave unaddressed. The structural thing to weigh is that documentation, coding and claims all live in one platform with no vendor boundary between the note and the bill.

Doximity Scribe is an ambient documentation tool given away free to every verified United States physician, nurse practitioner, physician assistant and medical student, launched broadly in July 2025 after more than a year of beta testing in which over 10,000 clinicians generated millions of notes. Its significance is distribution rather than technology: Doximity's network reaches more than 80 percent of United States physicians across all specialties, so a free scribe inside an app clinicians already open is a different kind of competitive event from another funded startup entering the market. It sits alongside Doximity Dialer for telehealth and Doximity Ask for evidence queries, and the company states plainly that no audio is stored or retained, with recordings processed in real time and discarded once the note is generated, and that all users are covered by a business associate agreement. Doximity also provides Scribe, onboarding support and Dialer Pro free to free and charitable clinics serving underserved communities. The gap a buyer should notice is that no EHR integration is documented.

Vero Scribe is a Toronto based documentation platform operating in the United States and Canada, offering ambient note generation alongside evidence search, ICD-10 code lookup and templates, producing SOAP notes, progress notes, consults, referrals and discharge summaries across web, mobile and desktop. It publishes a complete price ladder including a permanent free tier, which puts it among the more commercially transparent vendors in this category. It is also the most aggressive publisher of competitor comparison content in this lane, running reviews of Abridge, Freed, Tali, Sully, DeepCura, Scribeberry, Mentalyc and Nuance DAX that make specific negative claims about named rivals while positioning Vero as the alternative. That content dominates search results for competitor names, which matters to any buyer researching this category: much of what appears to be independent comparison of ambient scribes is published by vendors selling against each other, and Vero is the clearest instance of it.

HealthOrbit AI offers transcription, clinical note generation, automated ICD-10 and CPT coding and what it calls a doctor co pilot providing diagnostic recommendations during consultations. Its described workflow is upload driven, with audio files submitted to the platform and transcripts returned, alongside claims of multilingual support and EHR interoperability. This record is deliberately thin and the thinness is the finding. Almost nothing about this vendor could be verified: no named customer, no funding, no deployment, no third party assessment and no independent coverage was located, its accuracy claim appears as both above 90 percent and up to 95 percent in its own materials, its pricing is described as free in one place and available only by demo elsewhere, and its profile on a major software review site has been dormant for over a year. Buyers encountering the name should treat the record as an inventory of unverified claims rather than an assessment, and should establish basic commercial and security facts before any pilot.

RevMaxx is an ambient scribe aimed at practices that want documentation and coding handled together, generating structured SOAP notes with ICD-10, CPT and HCC codes and surfacing RAF score calculations from the conditions captured. Its workflow is described with an explicit gate: the note is generated, the clinician reviews, edits and signs, and only then does it update the chart. Integration runs through a mix of API, robotic process automation and a lightweight Chrome extension across a named list including Epic, eClinicalWorks, athenahealth, NextGen, Cerner, Tebra, AdvancedMD and, unusually, PointClickCare, which puts it in skilled nursing and long term care where almost no ambient scribe operates. It publishes a starting price of 199 US dollars per provider per month with no setup fees or long term contract and five free visits to begin. Note when researching it that most material discoverable about this vendor is published by the vendor itself.

Supanote is an ambient documentation tool built exclusively for mental health clinicians, launched in 2024, and its depth inside that niche is the reason to look at it. It supports the full behavioral health note format set including SOAP, DAP, GIRP, BIRP, SIRP, PIR and PIE alongside custom templates, recognises more than 20 therapy modalities including CBT, DBT, EMDR and internal family systems, and handles couples and group sessions, which most ambient scribes cannot because they assume a single clinician talking to a single patient. Its Super Fill function autofills notes natively into SimplePractice and TherapyNotes, the two dominant practice systems in this market, and its personalisation engine claims to learn a therapist's voice and terminology from one session. Two things need care. The vendor states its models were trained on thousands of real therapy sessions and insurance approved notes without disclosing provenance or consent, and its own published pricing differs materially between its own pages.

iScribeHealth is a Nashville company founded in 2015, which makes it one of the older operators in this category and predates the generative AI wave by most of a decade. It began as a mobile first documentation platform combining speech to text dictation with human virtual scribe and transcription services, and layered ambient listening and generative AI on top as iScribe AI. Its distinguishing property is where the output lands: rather than producing a note to copy across, it returns documentation directly into the EHR, with dictation placed into specific note sections including chief complaint, history of present illness, review of systems, physical exam and assessment and plan. It partners with athenahealth and names Veradigm among supported systems, offers a 14 day free trial and claims deployment within a day. The company still sells human scribe and transcription services alongside the AI, so a buyer can choose the mix rather than the technology deciding for them.

DeepCura is an all in one clinical automation platform built around eight named agents rather than a single scribe: pre visit history, ambient documentation, diagnosis mapping to ICD-10 and SNOMED, allergy reconciliation, order generation covering labs, imaging, durable medical equipment and prescriptions, billing with CPT codes linked to diagnoses, referrals including prior authorisation, and follow up scheduling, alongside a 24/7 AI receptionist, patient intake and a unified fax, email, phone and SMS hub. Its integration is unusually deep for its size, with bidirectional per field write back to seven named systems including Epic, eClinicalWorks, athenahealth, AdvancedMD, Veradigm, OptiMantra and CharmHealth, and it says plainly that anyone on another EHR must copy notes manually. Its commercial disclosure is the most complete in this category: a published per seat volume tier table, an annual rate, a free trial with no card, and a stated methodology for its own savings comparison. One piece of language deserves scrutiny rather than credit, and it is covered on the security axis.

Chartnote is a physician founded documentation tool that arrived at ambient AI from the opposite direction to most of this category. It began as a smart template and dot phrase system, offering thousands of reusable medical snippets so clinicians could assemble notes faster, and added an AI scribe, medical dictation and Copilot tools on top of that foundation. The template library remains its distinguishing asset. It is deliberately EHR agnostic in the simplest sense, transferring finished notes into any web based EMR rather than integrating with one, and it supports SOAP, DAP and custom formats across family medicine, emergency, internal medicine and urgent care. Its pricing is unusual and worth noting: tiers are set by volume of AI notes per month rather than per seat, starting with a genuinely usable free tier of 15 notes, which prices the product to how much a clinician actually documents rather than to the fact of employing them.

Conveyor AI is the ambient documentation product of Mobius MD, a company founded in 2011 whose real invention predates the AI: a patented pairing technology that connects an iPhone or iPad to any Mac or Windows computer by QR scan or USB dongle, with no software installed on the computer, and streams text to wherever the cursor sits. Conveyor AI builds ambient note generation on that foundation, which is why it works with every EMR on any machine without an integration project, and why a clinician's profile, templates, dictation preferences and memos travel with them rather than staying locked to one employer's system. It combines full medical dictation and ambient scribing in one product and claims to complete more than 80 percent of a note within 60 seconds. One deliberate constraint is worth knowing before evaluating: an iOS device is required, which the company attributes to its security requirements, so there is no Android path at all.

River Records is a small clinician founded Boston company whose product Stream rejects the premise most of this category is built on. Its argument is that faster note generation has been commoditised and that the real problem is the chart itself: a peer reviewed study of 104 million clinical notes, written by the company's own founders and published in JAMA Network Open in 2022, found roughly half the text in the average electronic record is duplicated word for word from prior documentation, and the proportion grows every year. Stream therefore organises documentation by medical problem rather than by encounter date, keeping each problem as a continuous thread across visits and surfacing issues that have dropped off the clinician's radar, on the reasoning that clinicians think in problems while records are stored in visits. It targets longitudinal settings where that matters most, including primary care, paediatrics, direct primary care and skilled nursing, and publishes a flat 149 US dollars per month with a 30 day trial. Its EHR story is deliberately modest: output pastes into any record system rather than integrating with one.

Sully.ai sells what it calls AI Medical Employees, a set of role based agents covering reception, scribing, coding, nursing intake and triage, interpretation and clinical consultation, integrated with Epic, Oracle Cerner and athenahealth. Ambient documentation is one agent among several rather than the whole product, and the scribe extends past notes into diagnosis identification and care plan suggestion. The company is explicit about its trajectory: it frames its market as the roughly 800 billion dollars a year the United States spends on medical staff salaries, and describes its destination as a fully autonomous healthcare system. Set against that ambition, it also publishes genuine technical research, including a benchmark across more than a dozen models and medical specialties reporting the best performer at 45 percent overall accuracy, and an architecture in which agents reach agreement through structured proposal and critique cycles with weighted scoring. A vendor publishing a 45 percent figure while marketing autonomous clinical agents is holding two positions at once, and both belong in a buyer's assessment.

AutoScribe is the ambient documentation product of Mutuo Health Solutions, a Toronto company founded by AI researchers and a family physician, and it is the only vendor in this category that began as a published research project. AutoScribe was developed through a collaboration between the University of Toronto and Saint Michael's Hospital, and the team published a peer reviewed case study of the technology that describes its drawbacks as well as its benefits, alongside a pilot validation study of the note generating model in primary care. It was pre qualified as a vendor under Canada Health Infoway's National AI Scribe Program, and in New Brunswick it reaches clinicians white labelled as Nexus AI. It handles 21 of the most commonly spoken languages in Canada and can generate the note in a different language from the conversation. Its published clinician guidance is unusually conservative, anchored to College of Physicians and Surgeons of Ontario and Canadian Medical Protective Association positions, and it cites independent safety literature about its own product category. Mutuo now operates as a Wellstar company, Wellstar being a majority owned subsidiary of WELL Health.

S10.AI sells a multi product clinical automation suite around CRUSH, its ambient scribe, alongside BRAVO, a front office agent handling phone triage, scheduling, refills and insurance verification, and SHINE, which audits notes for quality, compliance and medico legal risk while flagging missed HCC and CDI revenue. Two things distinguish it. Its integration architecture is server side robotic process automation rather than APIs, which is how it claims compatibility with more than 100 EHRs including legacy and non standard systems that larger vendors do not support, and it says it will build a missing one in roughly two weeks. And it publishes a flat 99 US dollars per month rate, positioned explicitly as a challenge to enterprise pricing in a category where most competitors publish nothing. It holds ISO 27001 certification and claims HIPAA, PIPEDA and GDPR compliance. Treat its published comparison content with the caution this index applies to any vendor that ranks its own competitors.

Knowtex is a 2022 San Francisco company founded by two Stanford AI scientists who spent a year working as medical scribes alongside physicians while building the product. It generates notes, diagnostic and billing codes and orders in real time from the encounter, is designed to be EHR agnostic and specialty specific, and runs on any device without dedicated hardware. Its distinguishing credential is a competitive federal one rather than a commercial one: Knowtex placed in the top three of the 2024 Department of Veterans Affairs AI Tech Sprint for Ambient Scribe and was subsequently awarded a 15 million dollar VA contract, deploying from October 2025 across the Veterans Health Administration, which spans 170 medical centres and 1,193 outpatient clinics serving more than 9.1 million veterans. For a company of its size that is an unusual validation, because a structured government evaluation and a federal procurement are assessments a vendor cannot commission. Earlier academic work includes a pilot at the University of Rochester Medical Center.

MarianaAI describes itself as a research lab building healthcare AI models, delivered through CARE, which stands for Comprehensive Automation and Revenue Enhancement. Ambient documentation is one module among more than twenty, alongside autonomous medical coding, pre visit charting, order management, CDI compliance, inbox triage with auto drafted patient responses, insurance coverage checks and a MarianaGPT assistant, integrated with a claimed 50 or more EHRs and reachable in the record, in browsers and on mobile. Buyers should read the commercial framing carefully, because the vendor states it plainly: CARE is marketed on simultaneously optimising RAF scores and ICD-10 and CPT capture to lift value based and fee for service revenue by 15 to 20 percent, on capturing up to 100 percent of codes, and on doing the coding with, in its own words, absolutely no human in the loop. That combination of revenue optimisation, risk adjustment coding and advertised full autonomy is the most exposed configuration assessed in this category, and it is why several axes here grade low despite genuine technical breadth.

Augnito is the clinical speech and ambient documentation platform from Scribetech, a medical transcription company with more than two decades of NHS work behind it. Its ambient product Omni captures in clinic, video and telemedicine consultations and produces structured notes, clinical letters, coding and live translation into the electronic patient record, alongside Spectra, its front end speech recognition product covering 55 or more medical specialties, and an API and SDK for embedding speech into EPR, PACS and RIS systems. Its distinguishing claim is one no other vendor in this index leads with: accent coverage. Augnito owns and trains its own models and markets its accuracy specifically across global and regional accents, naming Indian English, African English, Welsh, Scottish and Irish, with capture in more than 37 languages and separate speech models tuned per specialty rather than one model behind specialty templates. That makes it the most direct commercial answer to the accent and dialect problem this index tracks across every speech product, and also the vendor with the most to prove, because it publishes no per accent error rates.

Sayvant, trading as Healthcare AI Automation Inc, is an ambient documentation platform built by and for acute care physicians and deliberately narrow: emergency medicine, from freestanding emergency departments to Level 1 trauma centres. In June 2026 it published the largest study in this category by volume, analysing more than 250,000 encounters across 50 emergency departments against a historical baseline of over 20 million encounters spanning three years, and it is the first to take patient throughput and professional fee capture as primary outcomes rather than charting time. It runs on Microsoft Azure OpenAI Service across more than 30 languages, and in June 2026 added BMJ clinical intelligence, an expert curated clinical knowledge graph, to surface evidence based guidance inside the encounter. It is also unusually explicit about what it does: its clinical AI lead states that most ambient tools capture what was said while Sayvant generates what the note needs to reflect. That is a candid description of a documentation tool that constructs an argument for medical necessity, and buyers should read it alongside the charge capture outcomes it reports.

voize is a German voice documentation company built for nurses and caregivers rather than physicians, and it is the only vendor in this category running its model on device. Founded in 2020 by three systems engineering students at the Hasso Plattner Institute after one founder's grandfather moved into a nursing home, it now serves more than 75,000 nurses across over 1,100 care facilities in Germany and Austria, and raised a 50 million dollar Series A led by Balderton Capital in November 2025 to expand across Europe and enter the United States. Its large language model runs locally on the caregiver's smartphone and works without a constant internet connection, which the company frames as simultaneously a privacy, reliability and accuracy decision. It covers the nursing workflow rather than the office visit, spanning documentation, shift handovers, wound documentation and imaging, vital signs, medication administration, scheduling and emergency alerts, and it syncs into existing care documentation systems. A study conducted with the Charité in Berlin reported roughly 30 percent time savings on documentation.

Tali AI is a Canadian built ambient scribe that has grown into a broader clinical workflow platform, and it is the strongest certification posture found in this category so far. It is SOC 2 Type II certified, compliant with PHIPA, PIPEDA and HIPAA with data residency options, stores notes and recordings within Canada, and was pre qualified under the Canada Health Infoway AI Scribe Program. Its integration coverage is effectively the whole Canadian EMR market, including Accuro, TELUS Collaborative Health Record, Med Access, Oscar Pro, PS Suite, Healthquest and Intrahealth Profile, launching inside the record rather than beside it. Beyond ambient notes it carries a full dictation engine, a clinical medical search tool, a fillable forms library that auto populates Canadian government, disability and insurance forms, and billing support for Ontario FHO+ time based codes. It publishes a complete price ladder including a free tier, with one thing worth reading closely: ambient scribing, the feature most clinicians are actually evaluating, sits only in the Pro tier.

Lyrebird Health is an Australian ambient scribe founded in 2023, built first for general practice and now extending into specialist and hospital settings. Its position rests on the deepest practice software integration in its market: it is embedded inside Best Practice Premier, the dominant Australian general practice system, launching at a click with patient context including allergies, medications and history flowing into the consult, and core scribing is now free to Best Practice Premier customers. Beyond notes it drafts the administrative artefacts that actually consume Australian clinician time, including chronic disease and mental health treatment plans, Centrelink and WorkCover certificates and NDIS documentation, none of which a United States built scribe attempts. Two things make it notable well beyond its home market. It publishes a genuinely specific data lifecycle, with all processing and storage confined to Australian servers, records held de identified for 24 hours and then deleted. And it publishes granular pricing tiered by clinician type and by hours worked, which almost nothing else in this category does.

TORTUS is a UK clinical AI company built around NHS deployment, with over 2.5 million consultations recorded across ambulance clinical hubs, emergency departments and outpatient settings. Its OSLER agent combines voice, vision and click based interaction to read screen context and act inside the record rather than only writing to it, generating notes, referral letters and coding in real time for clinician approval. What separates it from every other vendor in this category is that it publishes its own error science. The Shell is a safety layer that verifies each generated statement against the consultation and removes anything unsupported before the clinician sees it, with a live platform metric of 92.7 percent of detected hallucinations removed and a 75 percent major hallucination reduction published in npj Digital Medicine. CREOLA, its clinician in the loop evaluation system, produced the first clinical ontology of hallucination and omission in ambient scribes and is now used across nine NHS sites. TORTUS was selected for Phase II of the MHRA AI Airlock and co developed the UK regulatory pathway for ambient voice technology with the regulator.

Corti is a Copenhagen research and development company building foundation models for healthcare, and it sits at a different layer from the rest of this category. Rather than selling only a finished scribe, it delivers speech recognition, clinically aligned generation and a reasoning layer through SDKs and APIs so vendors, providers and payers can build on it, with Corti Assistant as its own application on top. Its differentiating technology is FactsR, launched June 2025, a real time reasoning loop that extracts structured clinical facts such as symptoms, vitals, medications and social history as the consultation unfolds, validates each one through an automated feedback loop, and lets the clinician accept or adjust facts live rather than proofreading a finished note. Its second differentiator is architectural: in July 2025 Corti launched what it describes as Europe's first sovereign healthcare AI cloud, running on any cloud or on premise and deliberately portable off any single vendor, on the argument that hyperscaler managed AI is a regulatory liability in clinical settings under the EU AI Act. It also ships language specific clinical models, including a Danish speech to text model built with the Alexandra Institute against open benchmarks.

Speke is the ambient AI scribe from ScribeAmerica, the largest human medical scribe company in the United States, serving over 1,000 clients across more than 3,000 sites and around 30 million encounters a year. That heritage produces the most distinctive architecture in this category: Speke does not replace the human scribe, it fuses with one. Ambient capture generates the note, and ScribeAmerica scribes review and edit it for accuracy and completeness, alerting the provider through the app when information is missing. The amount of human review is a purchasable variable across three tiers, Speke Express, Speke Plus and Speke Pro, so a buyer chooses how much oversight to fund rather than accepting whatever the vendor built. It covers around 80 specialties across ambulatory, acute and urgent care with bidirectional EHR integration, and it carries a KLAS Emerging Technology Spotlight. It is also the only scribe assessed here that tells buyers plainly it cannot act as an interpreter and that a native speaker must corroborate notes generated from non English conversation.

Solventum Fluency Align is the ambient documentation product of Solventum, formerly 3M Health Care, and it approaches the category from a direction no other scribe in this index does. Solventum is a coding and revenue integrity company first, author of foundational patient classification methodologies including APR DRGs and Potentially Preventable Events, and Fluency Align sits inside its capture to code suite rather than standing alone. The product bundles ambient capture with the established Fluency Direct front end speech recognition so clinicians can dictate or work ambiently in one environment, generates a note for review, signature and completion, and surfaces real time coding support, risk factors and documentation opportunities during the encounter. In January 2026 Solventum became a MEDITECH Alliance Accelerator partner with direct integration into MEDITECH Expanse. The thing to weigh is structural: a documentation tool built by a company paid to improve coding capture prompts differently from one built by a company paid to save time.

AvodahMed is the digital health division of Avodah, an AI company whose other division builds language translation technology, and that lineage explains the multilingual capture at the centre of its product. It is an ambient scribe sold directly to practices and listed on the athenahealth Marketplace, but its larger footprint is invisible under its own name: AvodahMed is the engine behind Veradigm Ambient Scribe, which Veradigm licensed after evaluating scribe vendors through 2024 and selecting AvodahMed on accuracy, usability and integration depth. Anyone comparing these two records is comparing the same underlying model reached through two different contracting parties, one sold direct and one embedded in the Veradigm EHR. See [[veradigm-ambient-scribe]] for the white label deployment. This record is thin by design rather than by neglect: AvodahMed publishes little about its own model, evaluation or security, and most of what is externally documented about the product comes from its distribution partner rather than from AvodahMed.

Veradigm Ambient Scribe is the ambient documentation product embedded in the Veradigm EHR, launched in November 2024 and substantially expanded in November 2025. It captures the patient provider conversation and writes structured clinical, SOAP and referral notes directly into the record, with ICD-10 diagnosis code suggestions presented for provider review and real time prompts tuned to each practice's protocols. Two facts matter more than the feature list. First, the intelligence is not Veradigm's: the product is expressly powered by AvodahMed, so a buyer is purchasing a distribution and integration wrapper around a third party model, which Veradigm discloses openly rather than obscuring. Second, Veradigm describes the capture path as producing real time transcripts without generating audio recordings, which if contractually confirmed would be the strongest privacy architecture in this category, because an audio artifact that is never created cannot be retained, breached or subpoenaed.

NextGen Ambient Assist is the native ambient documentation module inside NextGen Healthcare's ambulatory EHR, aimed at the independent and specialty practice market NextGen serves. It listens through the NextGen Mobile app, returns a structured SOAP note within about thirty seconds, and places it directly in the patient's NextGen Enterprise chart pending provider review, along with suggested ICD-10 codes, medications and orders. Its posture is deliberately more conservative than the other EHR native scribes in this index: it suggests codes and orders rather than pre filling them, it states that clinical validation and oversight are essential for reliability, and it describes transcripts as temporary artifacts used only to produce the note. It is activated through a NextGen account representative rather than bought standalone, so it competes only inside the NextGen installed base.

Sunoh.ai is the ambient AI scribe built by healow, an eClinicalWorks company, and the default documentation option inside one of the largest ambulatory EHR footprints in the United States. It listens to the visit and produces a dialogue flow, a draft SOAP note, and pre filled orders covering labs, imaging, medications, referrals and follow up appointments, which the clinician edits before importing into the eClinicalWorks Progress Note. It runs in the eCW desktop EHR, eClinicalTouch for iPad and eClinicalMobile, and markets itself as EHR agnostic with claimed connections to Epic, athenahealth and Oracle Health, though depth outside eCW is not documented to the same level. Two things separate it from the rest of the category: it publishes a per provider price at a time when most enterprise scribes publish none, and its specialty coverage reaches into dental periodontal charting and vision, which almost no competing scribe attempts.

Oracle Health Clinical AI Agent is the ambient documentation and voice assistant embedded in the Oracle Health electronic health record, the platform Oracle acquired with Cerner. Earlier materials and third party directories still refer to it as the Oracle Clinical Digital Assistant. It combines generative AI, multimodal voice and screen driven assistance so a clinician can query the chart in natural language and have a draft note produced from the visit conversation. In February 2026 Oracle extended it beyond notes into automated order creation in the United States, using ambient listening to draft laboratory tests, imaging and diagnostic studies, new and refilled prescription medications and follow up appointments, inferring dose and frequency from patient history, prior orders and clinician favourites. That makes it the most autonomous ambient product in this index, and the reason to read its oversight grade before its convenience claims. It is also the anchor AI feature of the voice first next generation Oracle Health EHR launched for United States ambulatory providers in August 2025.

Microsoft Dragon Copilot is the ambient clinical documentation assistant created in March 2025 by merging DAX Copilot with Dragon Medical One, both inherited from Microsoft's 2022 acquisition of Nuance. It captures multi party, multilingual encounters and returns specialty specific draft notes, coding suggestions, clinical evidence summaries, referral letters and after visit summaries for clinician review inside the EHR. Role based editions exist for physicians, nurses and radiologists, with the nursing edition converting bedside conversation into structured flowsheet entries rather than narrative notes. It is embedded natively in Epic and reaches other EHRs through SMART on FHIR R4 launch and a partner Developer Kit. It is the reference incumbent in enterprise ambient documentation, and the only ambient scribe in this index whose efficiency claim has been tested head to head against a competitor in an independently funded randomized trial.

Theator built the category it calls Surgical Intelligence: computer vision and large vision language models applied to intraoperative video from cameras already present in minimally invasive and robotic operating rooms, turning the procedure itself into structured data. The platform automatically records every case, identifies procedural steps, safety milestones and critical events, links that video to the patient record over HL7, and returns case and departmental analytics used for quality review, standardization, OR efficiency and surgical training. Its flagship product, Surgery-to-Text, generates a structured operative report in real time that the surgeon reviews and signs on leaving the theatre, replacing dictation and memory based reporting; the company anchors that product against published research finding memory written operative reports accurate only 72.8 percent of the time. In June 2026 Oracle Health formalized a US collaboration deploying Theator on Oracle Cloud Infrastructure and writing reports directly into the Oracle Health EHR. A validation study of the platform's computer vision measurement of warm ischemia time during partial nephrectomy, against expert reviewed video as ground truth, has been published in the peer reviewed literature. Theator was co founded by Tamir Wolf, a physician, and is headquartered in Palo Alto with research and development in Tel Aviv.

AI-native EHR for mental health practice, and the vendor that repositioned this category's economics. Rather than selling documentation alongside a separate practice management system, Upheal bundles AI notes, scheduling, billing, treatment plans, compliance checking, client portal, forms, payments and a HIPAA-secure telehealth video room into one platform, and charges $1 per session capped at $69 per month per provider with no per-seat fees and no AI add-on. The company frames the model directly as charging for impact rather than for access, meaning a lighter caseload pays less, which inverts the flat-subscription convention. In 2026 it restructured from a Free, Starter and Premium ladder into this usage-based model, and features previously gated at Premium including Golden Thread treatment plans, the compliance checker and advanced analytics were folded into the paid plan. The Golden Thread capability is the clinically substantive differentiator: it maintains the documented continuity between a client's diagnosis, treatment plan goals and session-by-session progress notes, which is precisely what payers and auditors examine to confirm medical necessity, and the system links plan goals to progress notes automatically after each session. The compliance checker flags documentation gaps before submission to reduce clawback risk. Session capture is flexible across the integrated video platform, in-person sessions, text, dictation and manual upload, with over 170 preset note sections, session analytics measuring talking ratio, cadence and sentiment across the session timeline, and an AI assistant that can recall prior sessions and pull treatment plans. Notes export to external EHRs via browser extension and single-click transfer, and the company reports a bi-directional API and participation in EHR integration programmes. Compliance covers HIPAA with a published BAA, PHIPA for Canada, and SOC 2 Type II. Note on categorisation: sources disagree on whether Upheal is an EHR or a documentation tool, because it functions as both depending on whether a practice adopts it wholesale or exports notes elsewhere.

AI clinical documentation built exclusively for mental health professionals, covering therapists, counselors, social workers, psychologists and psychiatric mental health nurse practitioners. Notes are generated from recorded sessions, uploaded audio, dictation, transcripts or typed summaries, so recording is an option rather than a requirement, which matters for clinicians who will not record therapy. Output covers therapy-specific formats including SOAP, DAP, BIRP, PIRP, GIRP, PIE and SIRP plus a reported 100 or more custom templates, alongside treatment planning, session analytics, CPT code computation, and an Alliance Genie feature tracking therapeutic relationship dynamics across sessions. The distinguishing characteristic is compliance posture, which is unusually strong for a product sold largely to solo practitioners: HIPAA compliant, SOC 2 Type II audited, and PHIPA certified for Canadian practitioners, a combination no other indexed behavioral health vendor matches. The company states plainly that it does not train on clinician or client data and does not retain session recordings, which is the specific disclosure absent from Blueprint and Eleos Health, both indexed. Pricing is published and tiered from a Mini plan around $19.99 per month for 40 notes through Pro and Super tiers for higher volume solo clinicians, with a group practice plan around $49.99 to $59.99 per seat offering unlimited notes and admin visibility. Important sourcing caveat for readers: Mentalyc publishes extensive comparison content evaluating its own competitors, including several vendors indexed here, and that content is a useful factual source but is obviously self-interested. Where this record cites competitive positioning, it draws on independent third party reviews instead.

AI documentation and clinical assistant built for mental health therapists. The Assistant listens to the session, transcribes it and drafts progress notes, treatment plans and session summaries, with note types covering individual, couples, family and group therapy as well as psychiatry workflows, and customisable templates for intake notes, progress notes, treatment plans and psychotherapy notes. It also surfaces pre-session and post-session insight, intervention suggestions, homework and assessment assignment, plus measurement based care tracking. The company reports more than 70,000 mental health professionals on the platform. Deployment is deliberately dual track: a browser extension and EHR integrations let it run alongside whatever system a practice already uses without migration, and the company separately offers its own AI-native EHR covering scheduling, billing, forms and insurance. In 2026 it repositioned around that free EHR as an on-ramp with the AI Assistant as the paid, usage-priced layer. Important contrast for readers: Blueprint and Eleos Health, both indexed, occupy the same clinical space from opposite ends. Blueprint is a bottom-up, self-serve product sold to individual therapists and small practices with published per-clinician pricing and enormous adoption; Eleos is a top-down enterprise platform sold to behavioral health organisations with peer reviewed outcome evidence and opaque pricing. Neither posture dominates. A buyer choosing between them is really choosing between commercial legibility and published clinical evidence, which is the more interesting comparison in this category.

Voice based AI purpose built for behavioral health, substance use disorder treatment, and field based care, marketed as CareOps Automation. Natural language processing captures the live session, or a short clinician summary, and produces structured progress notes while extracting clinical insight from the conversation itself. The product line extends past documentation: Eleos Compliance scans eligible progress notes to flag documentation errors before claim submission, Clinical Insights surfaces treatment effectiveness analytics, Eleos Outreach serves field based case managers and community outreach providers, and leadership dashboards report on staff activity, caseloads and population health. Multilanguage support recognises over 150 languages, with notes translated into clinically accurate English. Deployment is EHR agnostic via a lightweight browser embedding rather than a per-EHR build, which the company positions as its structural differentiator. More than 200 organisations reported using the platform. What distinguishes this record in the index is that the evidence is unusually deep for a documentation product and is published in peer reviewed venues rather than asserted: a randomised clinical trial in the Journal of Medical Internet Research, a machine learning study on therapy homework assignment, and a real-world accuracy study across more than 2.83 million micro-dialogues. The company also frames its own product as augmented rather than autonomous intelligence throughout. Sits adjacent to the index's ambient scribe cluster but is graded in behavioral health because the clinical insight and evidence-based-care layer, not the note, is the substantive claim.

All in one cloud dental practice management platform covering charting, imaging, insurance, payments, and patient communication, now shipping a native AI layer under the Archy Intelligence banner. Archy Scribe generates clinical notes from inside the practice management system with access to the chart and treatment plan before recording begins, voice charting handles perio exams, and FDA cleared dental imaging AI is embedded through a third party partnership. Evaluate as a dental PMS adding AI rather than an AI native vendor.

Specialty specific cloud EHR and practice management vendor, formerly Modernizing Medicine, serving eleven medical specialties through its EMA and gGastro platforms. Its AI layer includes ModMed Scribe, an ambient documentation tool trained on de identified data sampled from a stated 750 million patient encounters, plus a set of AI assistants for scheduling, eligibility processing, prior authorization, and claim denial appeals. Evaluate as an EHR vendor adding AI rather than an AI native platform.

AI clinical platform built for Latin America, and the first vendor in this index whose primary market is outside the United States and Europe. The platform combines ambient documentation, clinical decision support, and EHR integration: it transcribes consultations in real time and generates structured records adapted to each clinician's style, reviews the record, flags potential errors, and surfaces evidence based recommendations and institutional protocol guidance during the encounter. Models are trained on clinical guidelines, peer reviewed literature, and local institutional protocols, which is the substantive localization claim rather than translation alone. Since launching July 2025 the company reports deployment across more than 25 hospital systems in Brazil, Colombia, and Mexico, reaching 14 million patients and processing over 5 million consultations. Reported outcomes at customer sites include protocol adherence rising from 84 percent to 99 percent, physicians recovering roughly 1.7 to 2 hours daily, and 60,000 medical errors flagged in real time. Mater Dei in Brazil reports physicians using the platform around eight hours a day. A free tier targets independent private practice physicians who lack institutional technology access. The company positions the product as supporting clinicians rather than deciding, with the physician making the final call, and is operating while AI regulation is still forming regionally: Brazil's Senate has approved a risk based AI bill pending further approval, and Colombia has sent its own bill to Congress. Founded by Nicolas Abad after his father, a physician, died from a preventable drug interaction. $42 million raised including a $33 million Series A led by Andreessen Horowitz.

Indexed for the AI capabilities inside the Doctolib platform rather than for the platform itself, which is context under this index's product scoping rule, and the first non US vendor treated this way. Doctolib is the dominant digital health infrastructure provider across France, Germany, and Italy, spanning appointment booking, practice management, and clinical records. Its ambient documentation capability, the Consultation Assistant, is built on technology from the June 2024 acquisition of Typeless, an EPFL and Idiap Research Institute spin off specializing in AI speech recognition, and uses large language models to convert spoken doctor patient dialogue into structured medical text including clinical notes and doctor letters. In November 2025 the company launched an all in one practice management product incorporating three AI assistants, including a telephone assistant that answers calls around the clock, categorizes inquiries, and transfers appointment bookings directly into the Doctolib system; the company reports practices can save up to ten hours per week on administrative tasks. That product launched for general practitioners, pediatricians, and gynecologists with additional specialties planned. The strategic significance is distribution: ambient documentation delivered inside the appointment and record workflow a practice already uses, which is a different competitive position from standalone scribes such as Nabla or Abridge. Note that European regulators treat ambient scribes as software as a medical device, with the UK MHRA classifying them accordingly, so regulatory posture differs from the US market.

Inpatient virtual care platform, and the first vendor in this index covering AI assisted virtual nursing and virtual sitting inside the hospital rather than in the home. The platform is modular: AI Assisted Virtual Nursing supporting virtual rounding, admissions, and discharges; AI Assisted Virtual Sitting and Patient Safety Monitoring, where the AI models cover fall prevention, fall detection, and pressure injury prevention; plus ambient documentation, patient engagement, digital whiteboards and room signage, hospital at home, remote patient monitoring, and a digital clinic. Hardware is part of the offering, including smart carts and in wall fixed devices providing video in the patient room. The stated design intent is extending clinical capacity rather than replacing staff: continuous monitoring across multiple units simultaneously so a smaller number of nurses can observe more rooms and intervene earlier. Reported adoption grew from more than 70 US health systems in February 2026 to more than 100 by June 2026. Named enterprise deployments include Ardent Health (NYSE: ARDT) across more than 2,000 patient rooms, MultiCare Health System as its enterprise virtual care platform, and One Brooklyn Health. Headquartered in Clearwater, Florida.

Multi agent platform automating clinical and administrative workflows from a single interface, with a coordinated network of role specific agents: an AI Receptionist handling inbound and outbound calls, scheduling, and patient communication; an AI Medical Assistant running intake, triage, and history capture; an AI Scribe producing real time documentation with ICD-10 and CPT evidence links; AI Coder and Biller agents for coding and revenue cycle; and an AI Inbox Manager working refills, messages, labs, and follow ups. States bidirectional integration with Epic, Cerner, and Allscripts and HIPAA compliance, with paperless intake syncing to the EHR. Marketed on reduced clinical support staff cost and shorter patient wait times, with stated attention to rural and underserved providers. Founded 2023 in Bellevue, Washington; emerged from stealth in late 2025 with a seed round. Early stage, and the breadth of the agent roster should be weighed against how recently the company began selling.

AI revenue integrity platform for specialty physician practices, surgery centers, and health systems, working both sides of the denial problem. To prevent denials it reviews every encounter against coding standards, payer policy, and the practice's own contracts, checking CPT, ICD-10, HCPCS, modifiers, NCCI edits, and documentation completeness, returning suggested corrections that carry the underlying rule and its source from CMS, NCCI, or payer policy rather than an unexplained flag. To recover them it identifies root cause, retrieves records, references payer policy and contract terms, drafts the appeal packet with clinical evidence, and tracks it through adjudication. Also provides ambient scribing across dozens of specialties, benchmarks payer rates to surface underpayments, and tracks payer policy changes. Runs on US based cloud infrastructure stated as HIPAA and SOC 2 compliant. Reports 55 to 57 percent fewer denials and 98 percent coding accuracy for customers. Co founded by a former healthcare AI product manager at Google and a CTO with explainable AI research background at MIT CSAIL; $4.3 million seed in November 2025 led by Nexus Venture Partners with Y Combinator.

Specialty depth ambient scribe, built for complex specialty medicine rather than general primary care, with oncology as its center of gravity: the company reports 5 million oncology visits captured a year and roughly 40 percent of US cancer care visits documented on the platform, alongside tuned models for cardiology, urology, gastroenterology, orthopedics, neurology, and nephrology. Holds a 98.8 KLAS Emerging Company Spotlight score with A+ marks across all six measured categories, the highest independent rating in the category, plus 2025 KLAS Top 5 rankings for improving outcomes, patient experience, and clinician experience. Positioned as an Ambient Operating System rather than a scribe: bidirectional integration with Epic, athenahealth, NextGen, and eClinicalWorks reads chart context before the visit and writes structured data into discrete fields after, pulling prior notes, labs, imaging, medications, and diagnoses forward into the current note. AI coding builds HCC, CPT, and ICD-10 suggestions into the note, SmartPrep adds pre visit intelligence for oncology, and Customization Studio learns each clinician's documentation style. Conversations supported in more than 110 languages. Founded 2017.

Self serve ambient scribe positioned against the enterprise vendors in the lane: a clinician can sign up and be generating notes the same day with no sales call, no IT deployment, and no annual contract. Reports more than 25,000 clinicians across over 1,000 organizations and more than 32 million patient visits transcribed. Records on phone, desktop, or tablet and returns a structured SOAP note within a minute or two. Pricing is fully published, which is rare in this category. The tradeoffs are stated plainly by third party review: EHR Push works through a Chrome extension into browser based EHRs with no native API write back, so structured field level integration is out of scope, and specialty depth outside primary care is a known weakness with procedure heavy documentation needing more editing. Security posture is strong for the tier, including SOC 2 Type II, a HIPAA Business Associate Agreement by default, automatic deletion of recordings, and an opt out from model training. Community health center Camarena Health deployed across 55 clinicians and 24 sites without formal implementation. Founded 2022.

Voice first clinical assistant pairing ambient documentation with an interactive command layer over the EHR, which is what separates it from passive scribes. Clinicians can dictate, capture visits ambiently, or issue voice commands to order medications, navigate charts, query patient records, stage orders for review, and pull schedules. The product also handles ICD-10, E/M, and HCC coding assistance, chart aware clinical questions answered against the specific patient record, and pre visit summaries, with reported volume of roughly 125,000 consults per week. EHR reach is a core strength: deep bidirectional integrations with Epic, Oracle Health, athenahealth, MEDITECH, and Elation, plus an EHR Partnership Program extending to MEDENT, Azalea Health, and WellSky. Suki Platform, launched 2024, lets other healthcare software vendors embed the voice and ambient capabilities inside their own products. Audio and transcripts are deleted after 30 days by default. Founded 2017 by Punit Soni.

Clinical AI platform pairing ambient scribing with evidence grounded clinical reasoning, which the other scribes do not attempt. Clinicians describe a case in natural language and the platform returns a ranked differential with suggested workups, drafts a problem oriented assessment and plan with inline evidence links, and answers clinical questions with citations drawn from an index of more than 38 million peer reviewed articles, consensus guidelines, and FDA information covering over 154,000 drug compounds. In the Harvard and Stanford ARISE NOHARM evaluation, a physician validated clinical safety benchmark, the platform ranked among the top medical AI systems. The scribing side produces clinic notes, H&P notes, progress notes, discharge summaries, and patient handouts, with assisted EHR workflows across Epic, eClinicalWorks, athenahealth, and Elation. A Developer API exposes the full stack, including clinical question answering, chart summarization, differential generation, care planning, and scribing, so other platforms can embed the clinical intelligence. Independent testing notes reasoning is strongest on common presentations and weaker on complex multi system cases, and the company positions the product as decision support requiring physician judgment on every output. Founded 2021 by Dr Dereck Paul and Graham Ramsey.

Ambient AI scribe generating structured clinical notes in real time from in person or telehealth encounters, reported across more than 85,000 clinicians at over 150 health organizations, weighted toward hospital systems, emergency departments, and multi provider groups. Two characteristics distinguish it. The first is EHR breadth: integrations span Epic, athenahealth, Oracle Health, NextGen, and Greenway, one of the widest footprints in the category and a practical fit for organizations running mixed EHR environments. The second is language coverage across roughly 31 languages, with templates spanning more than 35 specialties customized through custom instructions and dot phrases. The vendor reports that about 55 percent of users save at least an hour a day on documentation with a 27 percent reduction in burnout, figures it attributes to a published NEJM study. Two disclosures matter for procurement and are covered in the capability records: the free tier reportedly does not include a Business Associate Agreement, and session data is used for model training by default. Founded 2018 in Paris.

Indexed for the AI products embedded in Elation's primary care platform, not for the electronic health record itself, which is treated as context under this index's product scoping rule. Note Assist is an ambient scribe that transcribes the visit and structures it into the clinician's own note templates natively inside the chart rather than as a bolt on. Actions listens for clinical intent within the note and drafts the resulting work, including prescriptions, lab orders, and referrals. Clinical Insights surfaces conditions, labs, and medications as a contextual summary at the point of care. AI Fast Lane, launched March 2026, applies Smart Coding to suggest diagnosis and procedure codes from the visit note and problem list, routing claims above a confidence threshold straight to submission without manual review. The commercially material fact for buyers is that Elation states its native AI is included at no additional cost with the EHR subscription. The company was named top solution for Small Practice Ambulatory EMR/PM for 1 to 10 physicians in 2026 Best in KLAS, a recognition covering the platform rather than the AI. Founded 2010 by Kyna Fong and her brother.

Enterprise ambient AI documentation platform that turns the clinician patient conversation into a structured, billable note inside the EHR. Named Best in KLAS for Ambient AI in both 2025 and 2026, and reported in use at more than 250 health systems including Kaiser Permanente across roughly 25,000 physicians, Mayo Clinic, Johns Hopkins, Duke Health, UPMC, and the VA. The defining technical strength is Epic depth: embedded across Haiku, Canto, and Hyperdrive with bidirectional note sync, plus an athenahealth partnership, covering more than 28 languages and 55+ specialties across outpatient, inpatient, and emergency settings. Linked Evidence maps every part of a generated note back to the source audio so a clinician can verify any sentence against what was actually said before signing. The platform has extended into structured orders, coding context for revenue cycle, and real time prior authorization through a collaboration with Highmark Health and Allegheny Health Network. Founded 2018 by Shiv Rao, a practicing cardiologist, and Zachary Lipton of Carnegie Mellon.

AI documentation suite pairing an ambient scribe with point of care automation modules, positioned as an operating system rather than a note taker. AutoScribe produces a fully structured note in about twenty seconds, classifying statements into documentation sections with specialty tuned models covering more than 200 specialties including emergency and hospital medicine. The surrounding suite is what distinguishes it: AutoCDI validates notes against ICD-10 and CPT requirements at the point of care with audit trails for revenue cycle teams, AutoAVS generates patient friendly after visit summaries in the patient's language, AutoRefer drafts referral letters, and AutoPrep reads prior charts to prepare a visit agenda. A Chart Awareness platform launched February 2026 grounds notes in the full longitudinal record including prior notes, labs, imaging, medications, and problem lists. Native API integrations with Epic, Oracle Health, and athenahealth. Cleveland Clinic selected Ambience over four rival scribes for a five year deployment; also reported at UCSF, Memorial Hermann, John Muir Health, The Oncology Institute, and GI Alliance. Support is English first, which points the product at large health systems rather than independent practices.

Global ambient AI scribe that generates structured clinical notes from the patient encounter, with the broadest language coverage in the category. The vendor reports more than 2.5 million consults a week across 110 languages, 190 countries, and over 200 specialties. The product has expanded beyond documentation: Heidi Evidence (launched February 2026) surfaces cited clinical decision support from BMJ, NICE, and HealthPathways at the point of care, and Heidi Comms coordinates patient calls. Pricing is published, which is rare in this category. Founded in Melbourne by Dr Thomas Kelly, a former vascular surgical resident; raised a $65 million Series B in October 2025 led by Point72 Private Investments.

General Catalyst backed roll up of Athelas, Augmedix, and Memora Health selling ambient clinical documentation that flows directly into autonomous coding, clinical documentation integrity, and claims automation. The ambient line spans Augmedix Go (AI drafted notes), Assist (AI plus specialist review), and Live (synchronous human documentation), integrates with more than 50 EHRs including Epic, Oracle Health, and MEDITECH, and is reported to power more than 250,000 providers. A January 2025 Vizient contract provides negotiated access for member health systems.