OpenEvidence closed a $735M Series D in January 2026 to push its physician-facing clinical search across more than 40% of US doctors, the largest deployment in the category. Ambience Healthcare reached $243M Series C as the leading ambient-scribe product against Suki AI's $70M and a still-private Heidi AI. Tempus and Recursion straddle this category and ai-drug-discovery, while Lunit and Harrison.ai dominate AI radiology in oncology and chest imaging respectively. Glass Health and K Health build clinical-decision-support layers on top of the EHR, and Color Health rebuilt cancer-care navigation around an AI copilot. FDA 510(k) clearances for AI-as-medical-device are now flowing at a record pace.
Best AI Medical Tools
Ambient scribes, clinical search, and FDA-cleared imaging tools deployed at the point of care
53 ai medical startups tracked, with the largest concentration in US. Total tracked funding: $5.0B.
Funding by year — AI Medical
2020 → 2026Market overview
Key trends 2026
- Ambient scribes reach saturation pricing. Suki, Ambience, and Heidi compete at $200-400/clinician/mo, down from $600+ a year ago.
- OpenEvidence becomes the doctor-facing search default. $735M Series D funds outpaces any UpToDate-replacement attempt before it.
- FDA AI/ML 510(k) clearances accelerate. 2024-2026 device list growth tracks above 200/year, vs ~30/year pre-2020.
Benchmarks vs global
Top countries
By startup countStage breakdown
Latest round typeTop investors backing AI Medical
See all →FAQ
Frequently asked
How is ai-medical different from ai-drug-discovery?
Which AI medical startup has raised the most?
Are these tools FDA-cleared?
Recent rounds in AI Medical
All rounds →| Date | Startup | Round | Amount |
|---|---|---|---|
| Sep 2026 | Evvy | Series B | $40M |
| May 2026 | NVision | Series B | $55M |
| Apr 2026 | Aidoc | Series E | $150M |
| Mar 2026 | XCath | Series C | $30M |
| Mar 2026 | Procode AI | Seed | $4M |
| Jan 2026 | Surgerii Robotics | Series D | $100M |
| Dec 2025 | Valerie Health | Series A | $30M |
| Dec 2025 | a2z Radiology AI | Seed | $4.5M |
All AI Medical startups
Page 2Valar Labs
AI-powered precision oncology tests that predict how individual cancer patients will respond
Atropos Health
On-demand real-world evidence for clinical decisions
Suki AI
VerifiedAI voice assistant for clinicians
Triomics
Oncology-specific AI agents that turn unstructured EHRs into structured cancer data
Delfina
AI-powered pregnancy care to reduce maternal risk
Cerebriu
Real-time AI triage and protocol optimization for brain MRI
Gestalt Diagnostics
AI-enabled digital pathology platform for cancer diagnosis
Qure.ai
Medical-imaging AI company whose algorithms read chest X-rays, head CT scans, and other
Aidoc
PRIVATEClinical AI foundation model for medical imaging and triage
Barreleye
Korean medical AI startup developing ultrasound-based diagnostic solutions powered by deep
Axiom Bio
AI models that predict human drug toxicity without animal testing
Eko Health
Makes FDA-cleared digital stethoscopes paired with AI that helps clinicians detect heart and
Acurion
San Diego precision oncology company developing AI-powered image analysis that extracts
Prenosis
Precision medicine company building AI-based diagnostics for acute and critical care
Suki
AI voice assistant for clinicians that uses generative AI to ambiently create clinical
Navina
Clinical AI company whose copilot transforms scattered healthcare data into actionable
Regard
Healthcare AI company that builds an AI co-pilot for physicians, automatically analyzing
Corti
Copenhagen-based healthcare AI company building specialized foundation models and a clinical
Aignostics
Berlin-based computational pathology company building AI foundation models that analyze tissue
Tortus
UK-based clinical AI company building an AI co-pilot, branded OSLER, that automates clinical
SmarterDx
Clinical AI for hospital revenue integrity and quality
Andy AI
AI clinical documentation for home health
Rad AI
Generative AI for radiology reporting and healthcare workflows
Lunit
Conquer cancer through cutting-edge AI for earlier detection and more precise oncology treatments.