AI-augmented teleradiology and in-clinic imaging for U.S. medical practices
Imagen Technologies is an AI-enabled diagnostic imaging and teleradiology service for U.S. medical practices.
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AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.Imagen Technologies operates as an end-to-end diagnostic imaging partner rather than a standalone software vendor. Clinical sites either install Imagen-supplied on-site imaging equipment with program support for deployment, or route studies through Imagen's teleradiology service. Studies are read by U.S.-based, fellowship-trained sub-specialists whose interpretations are supported by FDA-cleared AI algorithms; coverage runs 24/7 across all 50 states where Imagen holds radiologist licenses.
The service stack has three distinct layers. AI-enabled interpretations pair sub-specialized clinicians with FDA-cleared computer-aided detection algorithms across modalities. In-clinic imaging provides permanent imaging equipment, technologist support, and program deployment for independent practices. The RadGap analytics platform applies AI to images and reports so payers, providers, and risk-bearing entities can identify and close care gaps at the population level.
Imagen is sold to independent medical practices, hospital systems, and value-based-care organizations through direct sales and partnership contracts; there is no self-serve plan or published rate card, and engagements are scoped per practice. Reported scale includes 95+ board-certified specialists and sub-specialists serving practices that cover roughly 3.5 million patients across 23 active operating states. Comparable U.S. teleradiology and imaging-AI providers include vRad, Radiology Partners, Aidoc, and Rad AI; Imagen differs by bundling equipment, radiologist staffing, and analytics under one contract.
Deployment is service-led: Imagen handles equipment install, radiologist licensing, and integration with ordering workflows, with the AI algorithms embedded inside the read pipeline rather than sold as a separate developer product. There is no public API or self-service portal.
U.S.-based, sub-specialized clinicians enabled with cutting-edge AI to deliver improved accuracy, consistency, and timeliness in diagnostic imaging reads.
FDA-cleared AI software algorithms designed to support specialists in diagnostic imaging interpretation.
AI-enabled image and report analytics platform that helps payers, providers, and other RBEs identify and close care gaps.
Provides permanent, in-office imaging equipment, capabilities, and programs with end-to-end support for independent practices.
Maintains radiologist licenses across all 50 states to enable broad geographic coverage for diagnostic imaging services.
Deploys fellowship-trained, board-certified specialists and sub-specialists to deliver sub-specialized diagnostic imaging interpretations.
Round-the-clock high-quality teleradiology and support team coverage for continuous diagnostic imaging services.
Provides program support for the on-site deployment of imaging equipment and AI software at clinical locations.
Service contracts are scoped per practice or health system and cover teleradiology coverage, AI-enabled interpretations, in-clinic imaging deployment, and RadGap analytics. No published rate card; pricing is negotiated directly with Imagen.
Imagen bundles FDA-cleared AI, radiologists, and on-site equipment — defensible niche, but the contract is the whole product.
“Imagen Technologies covers 24/7 teleradiology across all 50 states with 95+ sub-specialists, FDA-cleared AI reads, on-site imaging deployment, and the RadGap analytics platform for risk-bearing entities. The company closed a Series C in December 2024 from investors including Threshold Ventures and HSS Global Innovation Fund, and sells exclusively through direct enterprise contracts.”
FDA clearance plus a national radiologist license footprint isn't something a startup builds in 18 months. Imagen has both, and they sell them as one contract to independent practices. That's the strategic bet here.
The stack is teleradiology, on-site equipment, AI-supported reads, and RadGap analytics for value-based-care buyers. 95+ board-certified sub-specialists, 50-state licensing, roughly 3.5M patients covered across 23 operating states. Series C closed December 2024 with Threshold Ventures and HSS Global Innovation Fund on the cap table — a defensible 36-month bet.
But this isn't Aidoc or Rad AI — there's no API, no self-serve plan, no published rate card. The catch is lock-in: equipment, staffing, and analytics all ride one contract. Pilot teleradiology on one specialty for 90 days before signing the bundled program.
Differentiated bundle versus Aidoc, Rad AI, vRad, and Radiology Partners — but smaller geographic footprint than the category leaders.
FDA clearance, board-certified sub-specialists, and named investors make this a defensible board-room choice.
Service-led deployment with equipment install and licensing takes longer than software-only AI, but the read pipeline is turnkey.
RadGap analytics genuinely advances value-based-care strategy, but only for buyers willing to adopt the full bundle.
Series C closed December 2024 with credible healthcare investors; 10+ years in market with FDA-cleared products.
Independent practices and value-based-care organizations who need bundled imaging plus radiologist coverage.
Hospital systems who want a standalone AI algorithm to drop into existing PACS workflows.
Imagen's bundle is the bet — radiologists, scanners and FDA-cleared AI under one service contract.
“Imagen Technologies bundles 95+ board-certified sub-specialists, FDA-cleared AI algorithms and on-site imaging equipment into a single service-led contract covering practices that serve roughly 3.5 million patients. The catch is procurement gravity — enterprise-scoped engagements fit an IDN consolidating teleradiology and equipment, not a hospital already standardized on Aidoc or Rad AI.”
Most imaging-AI vendors sell pixels — an algorithm flags a finding, a radiologist still owns the read. Imagen sells the radiologist too. The service stack bundles FDA-cleared algorithms, sub-specialist reads, and the actual scanner sitting in the clinic.
That's a clinical operations bet, not a software bet. 95+ board-certified sub-specialists cover practices serving roughly 3.5 million patients across 23 operating states, with radiologist licensing maintained in all 50. RadGap closes the loop for risk-bearing entities — image and report analytics surfacing care gaps at the population level.
However, the catch is procurement shape. Imagen's $51M Series C in February 2021 funded a service-led enterprise contract, not a per-study API. For an IDN consolidating teleradiology coverage and equipment under one vendor, that fits. For a hospital already standardized on Aidoc or Rad AI for read assist, the bundle is wrong-shaped.
Differentiated bundle versus pure-play teleradiology (vRad, Radiology Partners) and pure-play imaging AI (Aidoc, Rad AI).
Bundled radiologist staffing plus on-site imaging matches how CMOs at independent practices actually procure imaging.
No public API or self-service portal — AI sits inside the read pipeline rather than as a developer-facing product.
Service-contract model creates vendor consolidation upside but cuts both ways on switching cost over three years.
Service stack pairs FDA-cleared AI with 95+ board-certified sub-specialists — real depth, not a thin algorithm wrapper.
Health systems who want bundled teleradiology, equipment and AI under one contract.
Hospitals who already run Aidoc or Rad AI for AI-assisted reads.
Contact-sales only, no per-study rate disclosed — typical teleradiology comps run $8-15 per read.
“No published rate card, no self-serve tier, no pricing page — every engagement scoped per practice. The procurement question is what the bundle costs versus assembling vRad reads, Aidoc algorithms, and equipment leases separately.”
U.S. teleradiology comps price reads at roughly $8-15 per study at volume. Imagen bundles AI-Enabled Interpretations, on-site equipment, and the RadGap analytics platform under one contract. No per-study rate published. Founded 2016, Series C closed December 2024 — private, no audited financials for procurement.
95+ sub-specialists, 50-state licensing, 24/7 coverage. Compare vRad on volume reads — narrower scope, sharper unit pricing. Compare Aidoc on standalone AI — license fees only, no radiologist staffing. Imagen rolls all three into a single SOW. The catch: with everything bundled, you can't unbundle to benchmark line items.
Ask for per-study rate by modality. Ask for the monthly minimum, the overage band, the term length. Ask if equipment is capex, opex, or a lease pass-through. Auto-renewal terms matter when migrating off bundled hardware. No public floor means everything is negotiable.
Private company means no audited financials and custom SOW per practice — heavier procurement workload than self-serve vendors.
Custom enterprise paper with no published termination, auto-renewal, or term-length signals; multi-year likely given equipment install.
No published rate card, no pricing page, no per-study rate — every engagement contact-sales scoped per practice.
RadGap analytics produces measurable care-gap closure metrics for VBC buyers, and FDA-cleared AI gives a regulatory anchor.
Bundled stack (reads + equipment + analytics) simplifies operations but prevents line-item benchmarking against vRad or Aidoc.
Independent practices who want one contract instead of three vendors.
Buyers who need a published rate card before sales calls.
Sub-specialty routing plus FDA-cleared AI under one contract, but pricing scopes per practice through sales.
“Imagen bundles fellowship-trained sub-specialists, FDA-cleared algorithms, and in-clinic equipment for U.S. practices. The catch is no public rate card, no API, and engagements scoped one health system at a time.”
A 2am worklist with a posterior fossa bleed routed to a generalist is the wrong call every reading-room lead has lived through. Imagen's pitch is sub-specialty routing across a 24/7 worklist — fellowship-trained specialists on the case that actually needs them, FDA-cleared AI inside the read pipeline. vRad runs a similar 24/7 model without bundling on-site modality or analytics.
RadGap is the analytics surface a value-based-care contract holder cares about — flagging closeable care gaps at population scale, not per-study findings. Imagen publishes 95+ board-certified specialists and roughly 3.5 million patients across 23 active operating states, with licensing across all 50.
But there's no public rate card, no docs, no API, no sandbox — engagements scope per practice through direct sales, and In-Clinic Imaging is an equipment-install project on the IT calendar. A community hospital comparing against Rad AI or Aidoc burns months in procurement before a first patient rolls.
Reading-room clinical fundamentals are strong; operations-lead day-3 is the contract and equipment-install runway.
No public docs, no changelog, no API reference — the LinkedIn page and a Book a Demo button are the surface.
Once running the radiologist does not fight the tool, but onboarding friction is high — no sandbox, sales-led scoping.
Three-layer stack — interpretations, In-Clinic Imaging, RadGap — gives real depth, but configuration is contract-bound not user-tunable.
AI sits inside the read pipeline and equipment integrates into clinic ordering workflows, not a parallel triage product.
Independent practices who want bundled imaging equipment and sub-specialty reads.
Buyers who need transparent pricing and a self-serve trial.
Month two of an Imagen contract is when the install glow wears off and the workflow questions begin
“Imagen bundles FDA-cleared AI, 95+ sub-specialists, and on-site imaging equipment into one teleradiology contract across 23 operating states. The pitch lands on health-system COOs, not the front-desk staff who live with the read pipeline every morning.”
Month two of an Imagen contract, the equipment is installed, radiologist licenses cleared, and your front desk is living with a vendor that has no portal to log into. That is the texture. You call a rep when something is weird.
RadGap is the part that surprises people. AI over images and reports to flag care gaps — useful if your practice does value-based work, dead weight if it does not. Aidoc sells just the algorithm. Rad AI sells workflow tooling. Imagen sells the whole thing under one roof: equipment, 95+ sub-specialists, 24/7 reads, analytics, across 23 active states.
But this is service plumbing, not software. No mobile app, no changelog, no sandbox before signing. The catch is everything good about Imagen lives behind a sales contract — and everything frustrating about it does too. Month three you either renew quietly or realize you wanted a tool, not a partner.
There is no daily UI to polish; the read pipeline and the rep on the phone are the product surface.
Workflow integration happens once at install; after that the AI and radiologists do the reading.
Mobile is not the use case for a teleradiology service contract — scored neutral.
Service-led install with equipment, technologist support, and state licensing is real but measured in weeks, not minutes.
FDA-cleared algorithms plus 95+ board-certified sub-specialists and 24/7 coverage is a solid clinical backbone.
Independent practices who want a single vendor for imaging and reads
Solo clinicians who need self-serve software not a service contract
FDA-cleared AI and sub-specialist reads make a real bundle — the moat is the contract, not the model.
“Imagen wraps FDA-cleared algorithms, fellowship-trained radiologists, and on-site imaging into one service contract aimed at independent U.S. practices. The catch is opacity — no published pricing, no API, no public turnaround number, and a $135M Series C lifeline that has to earn its keep against vRad's scale and Aidoc's algorithm focus.”
FDA-cleared cuts both ways. It means the AI Algorithms cleared a real bar. It also means clearance is narrow — specific modalities, specific findings — and the marketing tends to stretch what that means across a whole imaging workflow.
The bundle is the unusual part. 95+ sub-specialists, licenses in all 50 states, in-clinic equipment, plus the RadGap analytics layer for population-level care gaps. Founded 2015, ~$135M raised across GV, Threshold, Casdin, Series C closed December 2024. Real team, real check.
Yellow flag is exit portability. No API, no self-serve, no public rate card — once equipment sits in your clinic and reads route through Imagen, you're contracted in. vRad has 30 years of scale. Aidoc and Rad AI play the pure-algorithm lane. Imagen's bet is bundling. Works while value-based care pays. Less obvious if reimbursement shifts.
Bundling sub-specialist reads, equipment, and RadGap analytics is genuinely uncommon versus pure-AI Aidoc or pure-teleradiology vRad.
Embedded equipment plus custom service contract plus no API means leaving is a project, not a switch.
~$135M raised, fresh Series C, 23 active states, 3.5M patients covered — durable enough for a 3-year bet.
FDA-clearance is real but "industry-leading turnaround" with no published number is the kind of claim that hedges itself.
Eleven years, named investors (GV, Threshold, Casdin), Series C closed December 2024 — pattern matches builders, not flameouts.
Independent U.S. practices who need bundled radiology reads and imaging.
Hospitals who want a pure-algorithm vendor with API access.
Common questions answered by our AI research team
Yes, Imagen's AI software is FDA-cleared, supporting specialists with cutting-edge algorithms for improved accuracy, consistency, and timeliness.
Imagen advertises industry-leading turnaround times but does not specify exact timeframes in the available content.
Yes, Imagen provides 24/7 high-quality teleradiology and support team coverage.
RadGap is an AI-enabled image and report analytics solution that helps payers, providers, and other RBEs close care gaps.
Imagen AI is an Israeli AI company that provides photo editing automation for professional photographers using personalized AI profiles.
