Radiology & Imaging AI
E

Exo

Exo, pronounced echo, makes the Exo Iris handheld ultrasound probe and describes itself as a medical imaging software and devices company. Its transducer is a piezoelectric micromachined design built on silicon, blending the imaging behavior of piezoelectric crystals with the cost structure of a chip. The Exo Iris was cleared in 2021 (K211527), with imaging modes and indications added in 2022 (K222198), and launched commercially in September 2023 at a starting price of $3,500, sold through the company's online store and its sales team.

The artificial intelligence sits on the probe as suites: Cardiac AI (automated ejection fraction, chamber size, strain and wall thickness), Lung AI (B lines, effusions, consolidations and lung pathology in real time), Fluid Management AI (IVC collapsibility, bladder volume and vascular access) and SweepAI, which gives instant feedback as the user sweeps. The company states these are FDA cleared, reported 14 cleared AI indicators by June 2025, and describes its June 2025 clearance for detecting pleural effusion and consolidation or atelectasis as the first for point of care ultrasound AI, stating that it showed superiority to clinicians alone.

Exo Works is the workflow half, launched in 2022: vendor neutral software for documentation, billing, quality assurance and education in point of care ultrasound programs, described as integrating with nearly any point of care ultrasound device and with hospital record and archive systems. Wellstar MCG Health, formerly Augusta University Health, implemented it across its health system. The company announced in 2023 that Exo Works earned HITRUST r2 certification and a SOC 2 Type 2 report, and it links a Security Trust Center from its site.

Exo reports about $428 million raised, most recently in May 2025. It is led by co founder and chief executive Sandeep Akkaraju and headquartered at 4201 Burton Drive, Santa Clara, California. Its stated users include physicians, nurses and emergency medical technicians in emergency, acute, outpatient, home and rural settings.

Two things a buyer should weigh. The company markets a detection feature as outperforming clinicians, and the study's design and figures are not on its home page. And the recurring terms are unpublished: a device price is public, while whether the AI suites need a subscription, and how Exo Works is priced, are not.

AI Health Index verifiedSeptember 27, 2026
Compare Exo with other vendors
Founded
—
Headquarters
Santa Clara, California, United States
Website
www.exo.inc
Categories
radiology-and-imaging-ai, diagnostics-and-genomics
Indexed Products
Exo Iris (K211527, K222198), Cardiac AI Suite, Lung AI Suite, Fluid Management AI, SweepAI, Exo Works
Buyer Segments
Hospitals and health systems, Emergency and acute care departments, Outpatient and primary care clinicians, Pre hospital and emergency medical services, Home and rural care programs, Point of care ultrasound programs
Assessment

Capability Axes

An AI Health Index grade measures what a buyer can verify from public sources on the date shown. It is not a rating of how good the product is. A vendor can build an excellent system and grade low on an axis because it publishes nothing an outsider can check. How grades read

AI Capability
CC on AI CentralityArtificial intelligence is a feature layer on a product whose value stands without it. A learned component is a model whose parameters are estimated from data: machine learning, or a statistical model fitted to population data, including one then updated on the patient measurements. A fixed formula, a rule set, or a feedback controller that adjusts a dosing factor from the patient own readings is not one, however patient specific its output and whatever the vendor calls the adjustment.
Vendor Published

The probe stands without its models, and the AI features are a growing layer on it. Exo Iris uses a piezoelectric micromachined transducer on silicon, and the device images without any model attached. On top of it Exo sells AI suites: Cardiac AI (automated ejection fraction, chamber size, strain and wall thickness), Lung AI (B lines, effusions, consolidations and lung pathology in real time), Fluid Management AI (IVC collapsibility, bladder volume and vascular access) and SweepAI, which gives instant feedback as the user sweeps.

Several detect findings rather than only measuring structures, and SweepAI takes part in acquisition itself, which makes the layer substantial. Exo Works, the workflow product, is vendor neutral software for documentation, billing, quality assurance and education, and is not a model.

BB on Autonomy and Oversight ModelThe oversight structure is described and one part is missing, commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Advisory by design, with a comparative claim that pulls against the oversight the design assumes. The AI features surface on the device in real time beside the image they come from, and the clinician decides; nothing acts on a patient. SweepAI gives instant feedback as the user sweeps, turning an inadequate image from a silent failure into visible feedback, which is a real oversight control.

The company states that its pleural effusion and consolidation AI showed superiority to clinicians alone. A clinician told a tool is better than they are has little reason to override it, and the cases where overriding matters are the unusual ones where a model is least reliable; the intended users include nurses and emergency medical technicians, who may not be able to second guess a finding on the image.

What is not published is behavior at the limits: what a feature does with an inadequate or out of scope image, whether it declines rather than guesses, and what confidence information reaches the user.

CC on Model and Technology TransparencyThe architecture is described in general terms with nothing identified. Proprietary is asserted rather than explained.
Vendor Published

The AI features are named one by one, and nothing is published about what produces them. The home page names the Cardiac AI Suite (automated ejection fraction, chamber size, strain and wall thickness), the Lung AI Suite (B lines, effusions, consolidations and lung pathology), Fluid Management AI (IVC collapsibility, bladder volume and vascular access) and SweepAI, which gives feedback during the sweep, and the transducer is described specifically as a piezoelectric micromachined design on silicon.

No model architecture, training data, validation population, version history or update practice is published there, and features arrive on devices already in the field. The 510(k) summaries for the AI features could describe the training and validation data.

BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an in house build, a cleared model that cannot be quietly swapped, or a deployment where the transfer does not occur at all. Naming the model provider exits the band below into this one; the axis rises from here on the completeness of the party list and on the terms that govern data once it arrives.
Vendor Published

The AI features are the company's own cleared models, and the parties around them are not named. Exo states that SweepAI and its cardiac and lung AI are FDA cleared on the Exo Iris, and describes its June 2025 pleural effusion and consolidation AI as the first such clearance for point of care ultrasound. Models the company has cleared as its own devices cannot be swapped without a regulatory consequence.

What the home page does not publish is the rest of the chain: the cloud provider behind Exo Works, a subprocessor list, where the training data for each feature came from, and whether any model component was licensed. Exo Works is also vendor neutral, taking studies from other manufacturers' probes through interfaces that are not named. A subprocessor list could sit in the Security Trust Center linked in the site footer.

BB on Clinical and Operational EvidenceNamed deployments with dated outcome figures and enough method to test them, or published research short of independent validation.
Vendor Published

The company's strongest evidence statement is a comparative one, and its figures are not on the home page. Announcing its June 2025 clearance for detecting pleural effusion and consolidation or atelectasis, which it describes as the first for point of care ultrasound AI, Exo stated that the tool showed superiority to clinicians alone.

That is a claim about a study, and the study's comparator, case mix, reader experience and effect size decide what it means: an emergency physician and a trainee are different baselines. The company's announcement of that clearance and the 510(k) summary behind it are where the design and figures would be stated.

The other evidence is operational: Wellstar MCG Health, formerly Augusta University Health, implemented Exo Works across its health system, a named deployment of the workflow product. No outcome study showing changed diagnosis, treatment or patient outcome, and no peer reviewed publication, is on the home page.

CC on AI Safety and PHI StewardshipGeneral assurances of privacy and security that do not answer the questions artificial intelligence raises: what is retained, what reaches a model, and what happens to it there.
Vendor Published

Strong security governance is reported around the data, and nothing is published about what the models may learn from it. The custodial half rests on audited certifications for Exo Works and a Security Trust Center. The stewardship half is not addressed on the home page: whether customer images are used to train, tune or evaluate the company's models, whether any such use stays inside a customer boundary, how long studies are retained, and whether a customer may decline.

The question carries weight here because the company keeps adding cleared models, and because Exo Works is vendor neutral, accumulating studies acquired on other manufacturers' probes as well as its own; a customer scanning on another maker's hardware may not realize the question applies to them. Safety engineering, meaning guardrails and how a safety event is handled, is not published. The privacy policy linked in the site footer may state a training use position.

Regulatory and Compliance
BB on HIPAA and BAA PostureBusiness associate status is stated and supported by a substantive privacy document, with the agreement or its scope not fully published. For a vendor outside the United States, an equivalent regime documented to this depth grades here. A vendor whose product does not process protected health information grades here too when it says so plainly and explains the scope, with a service privacy document behind it: stating a position a buyer can rely on is the posture this axis grades, and the band above is closed to it because there is no agreement to publish.
Vendor Published

The security program is audited, and a business associate position is not stated on the home page. Exo Works holds HITRUST risk based two year (r2) certification and a SOC 2 Type 2 report, announced in 2023. HITRUST maps onto HIPAA's security and breach rules, but it is a security assessment rather than a statement of the company's role for customer data.

The company states plainly that the customer is responsible for securing the phones and tablets the probe pairs with, a useful boundary for a product acquiring clinical images on personal hardware. The privacy policy and the Security Trust Center linked in the site footer are where business associate status and an agreement would be set out.

BB on Security Certifications and Trust CenterA recognized certification is named in the vendor own material without the artifact, or with a scope or renewal question the buyer has to raise. A recognized certification here is an audit of how the vendor operates security, such as SOC 2, HITRUST or ISO/IEC 27001. A certification has a scope and a clock, and both are part of this grade. A certification the vendor attaches to its data center, hosting facility or cloud provider, rather than presenting as its own, is the host's and does not count here.
Vendor Published

Three audited credentials are named, each released on request. The company's Security Trust Center lists ISO/IEC 27001:2013, a SOC 2 Type II report and HITRUST certification, and each is obtained through a support request rather than opened directly; the company announced in 2023 that Exo Works earned HITRUST r2 certification and completed its SOC 2 Type 2 report. The ISO/IEC 27001 entry names the 2013 edition, whose certificates had to move to the 2022 edition by October 2025, and the entry does not show whether the certificate has moved.

No validity dates, scope statements, penetration testing or vulnerability disclosure policy are published, and nothing says whether the Exo Iris and its AI features fall inside the certified scope. The company names the customer as responsible for securing the phones and tablets the probe pairs with.

BB on FDA and Regulatory StatusThe pathway is stated and in progress, or a clearance is named without the vintage and scope a buyer needs to match it to the product on offer.
Vendor Published

The device clearances are identifiable, and the AI clearances are stated without their numbers. The Exo Iris was cleared in August 2021 (K211527), with a further clearance in 2022 (K222198) adding imaging modes and indications. The company's AI page states that its cardiac AI (ejection fraction and stroke volume), its lung AI (A lines, B lines, pleural effusion, and consolidation or atelectasis) and SweepAI are FDA cleared and work on the Exo Iris, and the company describes its June 2025 clearance for pleural effusion and consolidation or atelectasis as the first for point of care ultrasound AI, which is its own claim.

No clearance number, version or intended use is given for any AI feature, so published material does not tie a feature to its 510(k).

CC on AI Governance and Bias DisclosureResponsible artificial intelligence is committed to in policy language with no evaluation behind it. Most of the index sits here.
Vendor Published

Testing is described and its results by group are not. The company's AI page says validation included diverse demographics (gender, ethnicity, location), body mass index and health conditions including heart failure with reduced ejection fraction, coronary artery disease and cardiomyopathy, and that the models were developed on more than 100,000 images from point of care users in emergency and critical care units. It reports no performance for any of those groups and states no conclusion that performance held across them. Separately, the company describes SweepAI's acquisition feedback as reducing operator dependence, which concerns variation between operators rather than patients.

The gap matters because ultrasound image quality varies with body habitus, and these detection features inform admission, antibiotic and diuretic decisions, often in the hands of nurses and emergency medical technicians without an expert reader, so a model that misses findings more often in one group produces silent undertreatment there.

DD on AI Liability and RecourseNothing published on what happens when the system is wrong.
Vendor Published

Nothing published says what happens when an AI feature is wrong, and these features make findings rather than only measurements. The Lung AI Suite detects B lines, effusions and consolidations in real time, and the Cardiac AI Suite reports ejection fraction, chamber size, strain and wall thickness. A missed effusion or consolidation, or a falsely reassuring ejection fraction, is a diagnostic failure that can shape admission, antibiotic or diuretic decisions.

No warranty covering model output, accuracy commitment, indemnity or route to dispute a result is published on the home page. The company states that its pleural effusion and consolidation AI showed superiority to clinicians alone; marketed to nurses and pre hospital staff who may have no expert reader beside them, a comparative claim of that kind makes the allocation of responsibility more pressing, not less. A published error rate with its denominator may sit in the 510(k) summaries for the AI features, whose clearance numbers the home page does not give.

Integration and Deployment
BB on EHR and Interoperability DepthNamed systems with read access or one directional writing, or standards support with named deployments behind it.
Vendor Published

Exo Works is vendor neutral, and the systems it connects to are not named on the home page. The workflow product handles documentation, billing, quality assurance and education for point of care ultrasound programs, and is described as integrating with nearly any point of care ultrasound device and with common hospital record and imaging archive systems, reachable from a phone, tablet or browser.

Working with other manufacturers' probes addresses the real problem of mixed probe estates, where exams never reach the record consistently, and Wellstar MCG Health implemented it across its health system. No record system, archive vendor, interface standard or third party device list is named on the home page. The Exo Works page in the site navigation is where integrations would be listed.

BB on Deployment Model and Data ResidencyOptions and residency are stated with isolation or the processing path left open.
Vendor Published

Continuity is described, and where data rests is not on the home page. Exo states that it maintains a framework to limit the impact of disruptive events on its operations and that its business continuity plans are validated through its third party audit certifications.

Exo Works is reachable from a phone, tablet or browser with studies stored in the cloud, and the probe pairs with a clinician's own device; the company places responsibility for securing those phones and tablets with the customer. No infrastructure provider, region, residency position, tenancy or recovery objective is given on the home page, which matters for a company selling internationally and into rural and under resourced settings. The Security Trust Center linked in the site footer is where hosting and residency would be documented.

Commercial
BB on Commercial TransparencyA price or a pricing basis is published without full tiers, so a buyer can size the cost before making contact.
Vendor Published

A device price is published, and the recurring structure is not. Exo Iris launched in September 2023 at a published starting price of $3,500, and the site footer links an online store that sells the probe directly. What is not published on the home page is everything recurring: whether the AI suites come with the device, are unlocked by subscription or are licensed per feature; whether a membership or subscription is needed and what lapsing it does; and how Exo Works, the enterprise workflow product deployed across Wellstar MCG Health, is priced.

BB on Setting and Specialty CoverageCoverage is named with validation behind part of it.
Vendor Published

Coverage is organized around who holds the probe, with regulatory validation behind the AI features. The stated users are physicians, nurses, emergency medical technicians and other clinicians in emergency, acute care, outpatient and home settings, with rural and under resourced settings called out. Clinical coverage centers on heart and lung, the pair that matters for undifferentiated breathlessness, with fluid management (IVC and bladder volume) and vascular access alongside.

The AI features carry FDA clearances; home and pre hospital use are named as targets without published deployments, and Exo Works extends to other manufacturers' probes without a published device list.

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Ordered by how closely the graded profiles match across the fifteen axes, inside the same categories. See how each axis is graded in the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

Entry Price Pricing Basis BAA Tier Implementation Source
From $3,500 per device (launch price, September 2023)
$3,500 baseline
Device purchase, including through the company's online store; recurring structure not published Not published. Exo Works holds HITRUST r2 certification and a SOC 2 Type 2 report; no business associate agreement or tier is stated on the home page. Not published. Exo Works, the enterprise workflow software, is priced separately and its rate is not published. Vendor Published

Exo Iris launched in September 2023 at a published starting price of $3,500, and the site footer links an online store that sells the probe directly. Everything recurring is unpublished on the home page: whether the AI suites (cardiac, lung, fluid management and SweepAI) come with the device, are unlocked by subscription or are licensed per feature; whether a membership is needed and what lapsing it disables; and warranty terms.

Exo Works, the vendor neutral workflow product sold to health systems and deployed across Wellstar MCG Health, carries enterprise pricing with no rate card, unit of charge or range published. Ask which AI features are included with the device, what recurring fees apply, and how Exo Works is priced.