HOPPR vs TeraRecon (2026)
Two companies one layer apart in the same supply chain. HOPPR supplies a foundation model and development environment that imaging AI is built on, sold to developers, AI companies and imaging vendors. TeraRecon runs finished applications: vendor neutral advanced visualization plus an AI Framework that carries its own algorithms (Aorta.CT, Cardiac.Chambers.MR, Cardiovascular.Calcification.CT), third party algorithms and a site's in house models through one PACS integration. Neither is bought by a radiologist for a single finding. Together they show a gap a hospital inherits: a platform that hosts third party models does not show their regulatory status, and a foundation model sits one layer further back, so provenance questions have to be asked of each layer.
- It is the layer beneath the applications: a multimodal foundation model and development environment sold to developers, AI companies and imaging vendors.
- Model and technology disclosure is detailed, which matters when others build regulated products on it.
- The consent basis for its training data is stated rather than implied.
- Vendor neutral visualization is the base: TeraRecon AV reads CT, MR and other modalities in 2D, 3D and 4D, independent of scanner or archive vendor, at more than 2,000 hospitals by its own count.
- One integration for many models: the AI Framework runs TeraRecon's own algorithms, third party algorithms and a site's in house models through one PACS connection, with physicians accepting or rejecting results before they reach the report.
- Conformance published: indications for use and IHE, DICOM and HL7 conformance statements are public, and ISO 27001:2022 certification was announced in 2023.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. HOPPR and TeraRecon are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | HOPPR | TeraRecon |
|---|---|---|
| Primary category | Radiology & Imaging AI | Radiology & Imaging AI |
| Founded | 2019 | Not recorded |
| Headquarters | Chicago, Illinois | Fremont, California |
| Website | hoppr.ai | terarecon.com |
Side by Side
Select any grade to read the note behind it.
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
HOPPR
-
Model / architecture
HOPPR released a beta of its FS MSK Narrative Model for whole body X-rays, a vision language foundation model that drafts the findings section of a musculoskeletal X-ray report from up to three views.
Source -
Model / architecture
HOPPR expanded its vision-language model portfolio with the release of a new 2D Mammography Narrative Model.
Source
TeraRecon
-
Product / capability
TeraRecon released TeraRecon Neuro, a new software package designed to assist clinicians in diagnosing and treating neurovascular emergencies such as stroke.
Source
Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
HOPPR builds infrastructure for making medical imaging AI and, separately, a layer that delivers AI results into radiology reporting. Grace is a multimodal imaging foundation model for X-ray, CT, MRI and echocardiography, trained on more than a petabyte of permission based, anonymized studies paired with reports; narrative models translate chest radiographs (April 2026) and 2D mammograms (August 2026) into structured text and ship with training data traceability records and version locking.
Source: AI Health Index, August 2026
TeraRecon, a ConcertAI company, sells advanced visualization and AI workflow software for radiology and cardiology. TeraRecon AV (registered as Intuition outside the US) is vendor neutral 2D, 3D and 4D visualization, measurement and reporting across CT, MR and other modalities, with modules for cardiac, structural heart, perfusion and neuro work.
Source: AI Health Index, August 2026
Questions buyers ask
How are HOPPR and TeraRecon priced and sold?
For HOPPR, the Foundry is sold as platform access to developers, AI companies and imaging software vendors through an access request, with Forward Deployed Services as a separate professional services engagement, and Presto Agent is sold separately to radiology practices.
The site shows how the offer is structured: TeraRecon AV (Intuition) for advanced visualization, TR Neuro, DETECT and the AI Framework, sold through a demo request and delivered installed or as a cloud service with professional services for integration. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified August 4, 2026. No vendor pays for placement.
How do HOPPR and TeraRecon handle patient data?
HOPPR describes Grace's training corpus as permission based and anonymized, with de identification at ingestion, and the Foundry is covered by SOC 2 Type II attestation and HITRUST e1 certification.
The footer links a privacy policy and a Data Privacy Framework policy for EU to US transfers, and a RACI matrix for TeraRecon Cloud services, none of which sets out what happens to imaging. The Eureka indication says the platform sends images to hosted external systems for processing according to routing rules the user defines. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified August 4, 2026. No vendor pays for placement.
Which settings and specialties do HOPPR and TeraRecon cover?
With HOPPR, the Foundry is sold to developers, AI companies and imaging software vendors, and Presto Agent to radiology practices, with named practices using it.
TeraRecon says more than 2,000 hospitals use its software worldwide. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified August 4, 2026. No vendor pays for placement.
How much do HOPPR and TeraRecon leave to the clinician?
For HOPPR, the radiologist signs the report, but nothing published states what Presto may insert without confirmation, whether inserted content is marked as model generated at the point of signing, or whether the signed report records which model produced which content. A number placed in a template looks the same whether right or wrong, and checking it means remeasuring, which is the work the feature removes.
With TeraRecon, the AI Framework page says physicians control and review AI findings before committing them to the patient record or reporting system. The Eureka Clinical AI indication says users can accept or reject AI metadata, that the platform does not alter the original image, and that it is not intended to give a diagnosis or measurements used for decisions. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified August 4, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Radiology & Imaging AI page.
HOPPR's record has not yet been reviewed on this site, so its side of this page rests on the build record. TeraRecon publishes no clearance numbers or performance figures for its own AI devices, and third party algorithms on its platform carry their own regulatory status, which the platform does not show. Neither publishes pricing.