What are the most valuable healthcare AI startups?

Last updated: 24 September 2026
Cover of NewMarketPitch's healthcare AI report

Everything we know about the healthcare AI market, in one place. Get our report whether you build or invest.

Summary

OpenEvidence currently has the clearest claim to being the most valuable privately held Healthcare AI startup with a directly observed valuation, at $15 billion, while Isomorphic Labs could be worth more if its estimated $14.0B–$26.3B range is anywhere near the upper end.

The top of the market is unusually mixed. Clinical search, healthcare operations, ambient documentation and AI drug discovery all produce multi-billion-dollar companies, so Healthcare AI no longer has one dominant business model. With no single dominant business model left, we compare which ones make money and keep their margins in our market report about healthcare AI.

OpenEvidence stands out because its valuation is backed by a recent financing rather than an inferred estimate. Its move from roughly $1B to $15B in about a year and a half is also one of the fastest large-scale repricings in the sector.

AI drug discovery creates some of the biggest theoretical valuations, but also the widest uncertainty. Isomorphic Labs raised $2.1B without disclosing a valuation, while several other drug-discovery companies are already worth billions despite being years away from proving their biggest commercial bets.

Clinical workflow AI is where commercial evidence looks strongest right now. OpenEvidence, Abridge, Commure and Ambience sit directly inside work clinicians or healthcare organizations perform every day, making adoption and ROI easier to demonstrate than for many earlier Healthcare AI products.

Ambient clinical AI has become a major category surprisingly quickly. Abridge reached a $5.3B priced valuation, Ambience crossed $1B, and competitors including Nabla, Suki, Tandem and Heidi are building increasingly broad clinical workflow products rather than simple transcription tools.

The market is also extremely concentrated. A relatively small group of companies absorbs a large share of Healthcare AI funding while many diagnostic AI businesses remain valued in the hundreds of millions rather than the billions.

Capital raised alone explains very little. OpenEvidence is worth roughly 21 times its estimated cumulative funding, while Freenome has raised about $1.43B against a current value around $1.8B. Paige ultimately sold for far less than the capital it had raised.

The difference from the previous healthtech boom is that AI adoption is now visible inside hospitals and physician workflows. Hospital deployment, physician AI usage, clinical search and ambient documentation have all reached levels that make the market much harder to dismiss as a purely venture-driven story.

The biggest uncertainty is no longer whether Healthcare AI can become a real industry. It already has. The harder question is which companies can turn heavy usage, workflow automation or promising scientific platforms into durable economics that justify valuations ranging from $1B to more than $15B.

Written by the New Market Pitch teamWe track new markets so founders and investors can move faster. About us

Market grid of the top healthcare AI startups and companies by segment: Who are the top players in healthcare AI today? (Healthcare AI Market, NewMarketPitch)

In our report covering the healthcare AI market, we turn what is vague and complex into simple, useful visuals. Market maps like this one show you at a glance where every startup stands.

Top startups in the Healthcare AI market ranked by valuation

Here is an updated table that ranks the top startups in the Healthcare AI market based on their latest reported or estimated valuations.

If you need to dig deeper and get more detailed data, please check our report covering the Healthcare AI market.

# Startup Name What They Do Current Valuation ($) Valuation Confidence Level Valuation Type Evidence Status Total Funding ($) Funding Confidence Level
1 Isomorphic Labs AI-first drug discovery $14.0B–$26.3B Partial Confidence Implied Valuation from Raise Implied ~$2.7B Not provided
2 OpenEvidence AI clinical evidence search $15.0B Full Confidence Announced Private Round Valuation Observed ~$700M Not provided
3 Tempus AI-enabled precision medicine $13.9B Full Confidence Public Market Cap Observed ~$1.3B+ Not provided
4 Commure AI healthcare operations platform $7.0B Full Confidence Announced Private Round Valuation Observed ~$1.18B Not provided
5 Abridge Ambient clinical documentation AI $6.2B–$7.4B Strong Confidence Comparables-Based Estimate Estimated ~$774M Not provided
6 XtalPi AI-powered pharmaceutical drug discovery $4.8B Full Confidence Public Market Cap Observed $784M Not provided
7 Insilico Medicine AI-driven drug discovery platform $4.7B Full Confidence Public Market Cap Observed $524M Not provided
8 HeartFlow AI coronary disease diagnostics $4.4B Full Confidence Public Market Cap Observed ~$856M Not provided
9 Komodo Health Healthcare data and analytics platform $4.1B–$4.6B Strong Confidence Proxy-Based Estimate Estimated $586M Not provided
10 Relay Therapeutics AI-enabled precision drug discovery $4.2B Full Confidence Public Market Cap Observed $520M Not provided
11 AbCellera AI-powered antibody drug discovery $4.1B Full Confidence Public Market Cap Observed $247M Not provided
12 Chai Discovery AI foundation models for biology $3.8B Full Confidence Announced Private Round Valuation Observed $630M Not provided
13 Xaira Therapeutics AI-native drug discovery $3.3B–$3.8B Strong Confidence Announced Private Round Valuation Estimated ~$1.3B Not provided
14 Hippocratic AI Patient-facing healthcare AI agents $3.5B Full Confidence Announced Private Round Valuation Observed ~$404M Not provided
15 Innovaccer Healthcare data and AI platform $3.1B–$3.8B Partial Confidence Active Raise Valuation Estimated ~$651M Not provided
16 Formation Bio AI-native drug development $2.2B–$4.0B Low Confidence Implied Valuation from Raise Implied ~$610M Not provided
17 Pathos AI AI-driven oncology drug development $3.0B Full Confidence Announced Private Round Valuation Observed $732M Not provided
18 METiS Therapeutics AI-designed therapeutics and delivery $2.5B Full Confidence Public Market Cap Observed $306M Not provided
19 insitro Machine-learning drug discovery $1.8B–$2.8B Low Confidence Comparables-Based Estimate Estimated ~$643M Not provided
20 Generate:Biomedicines Generative AI protein therapeutics $2.2B Full Confidence Public Market Cap Observed ~$708M Not provided
21 Recursion Pharmaceuticals AI-driven drug discovery $2.2B Full Confidence Public Market Cap Observed ~$480M Not provided
22 Viz.ai AI care coordination platform $1.5B–$2.2B Partial Confidence Revenue or ARR Multiple Estimate Estimated ~$289M Not provided
23 Freenome AI blood cancer detection $1.8B Full Confidence Public Market Cap Observed ~$1.43B Not provided
24 Aidoc Clinical imaging AI platform $1.6B–$1.9B Strong Confidence Announced Private Round Valuation Estimated ~$564M Not provided
25 Owkin AI precision medicine research $1.3B–$1.8B Low Confidence Comparables-Based Estimate Estimated ~$304M Not provided
26 Medable Digital decentralized clinical trials $1.2B–$1.8B Partial Confidence Comparables-Based Estimate Estimated $531M Not provided
27 Ambience Healthcare AI clinical documentation platform $1.2B–$1.6B Partial Confidence Announced Private Round Valuation Estimated ~$313M Not provided
28 Clarify Health Solutions Healthcare analytics and intelligence platform $1.1B–$1.5B Partial Confidence Comparables-Based Estimate Estimated $395M Not provided
29 Iterative Health AI-powered clinical trial platform $1.2B–$1.4B Strong Confidence Announced Private Round Valuation Observed $272M Not provided
30 SmarterDx AI hospital revenue integrity $1.1B–$1.4B Partial Confidence Acquisition Value Estimated ~$71M Not provided
31 Cleerly AI coronary imaging diagnostics $950M–$1.3B Partial Confidence Announced Private Round Valuation Estimated ~$389M Not provided
32 Huma Digital health AI infrastructure $900M–$1.3B Partial Confidence Revenue or ARR Multiple Estimate Estimated ~$368M Not provided
33 Immunai Maps immune system with AI $900M–$1.3B Partial Confidence Comparables-Based Estimate Estimated $295M Not provided
34 AKASA AI revenue-cycle automation $800M–$1.2B Partial Confidence Implied Valuation from Raise Implied ~$205M Not provided
35 Tandem Health AI assistant for European clinicians $800M–$1.1B Strong Confidence Implied Valuation from Raise Implied $160M Not provided
36 PathAI AI-powered digital pathology $750M–$1.1B Strong Confidence Acquisition Value Observed ~$255M Not provided
37 Nabla Ambient AI clinical assistant $700M–$950M Partial Confidence Implied Valuation from Raise Estimated ~$120M Not provided
38 Genesis Therapeutics AI small-molecule drug discovery $807M Full Confidence Announced Private Round Valuation Observed $340M Not provided
39 Cohere Health Automates health plan clinical decisions $700M–$900M Strong Confidence Announced Private Round Valuation Implied $200M Not provided
40 Notable AI healthcare workflow automation $650M–$900M Low Confidence Revenue or ARR Multiple Estimate Estimated ~$119M Not provided
41 SOPHiA GENETICS AI-powered genomic data analytics $687M Full Confidence Public Market Cap Observed $250M Not provided
42 Valo Health AI-enabled drug discovery $550M–$800M Low Confidence Comparables-Based Estimate Estimated >$450M Not provided
43 RapidAI AI neurovascular imaging and workflows $600M–$750M Partial Confidence Comparables-Based Estimate Estimated $125M Not provided
44 Exscientia AI-designed drug discovery $630M Full Confidence Acquisition Value Observed ~$674M Not provided
45 AliveCor AI-powered personal cardiac monitoring $500M–$750M Partial Confidence Comparables-Based Estimate Estimated $284M Not provided
46 Rad AI Generative AI for radiology workflows $550M–$700M Strong Confidence Comparables-Based Estimate Estimated $163M Not provided
47 Biofourmis AI-enabled home care $400M–$800M Low Confidence Comparables-Based Estimate Estimated ~$462M Not provided
48 Suki AI voice assistant for clinicians $500M–$700M Partial Confidence Announced Private Round Valuation Estimated ~$168M Not provided
49 Lunit AI cancer diagnostics and biomarkers $563M Full Confidence Public Market Cap Observed $137M+ Not provided
50 BenchSci AI platform for preclinical research $450M–$650M Partial Confidence Comparables-Based Estimate Estimated $157M Not provided
51 Lindus Health AI-enabled clinical trial operations $450M–$650M Partial Confidence Implied Valuation from Raise Implied $80M Not provided
52 Iambic Therapeutics AI-designed clinical-stage medicines $500M–$600M Strong Confidence Announced Private Round Valuation Observed $334M Not provided
53 Profluent AI designs functional proteins $500M–$550M Strong Confidence Announced Private Round Valuation Observed $150M Not provided
54 Verge Genomics AI discovers neurological disease drugs $450M–$600M Partial Confidence Comparables-Based Estimate Estimated $168M Not provided
55 Proscia Digital pathology and AI software $400M–$600M Partial Confidence Implied Valuation from Raise Implied $130M Not provided
56 Healx AI drug discovery for diseases $400M–$600M Partial Confidence Comparables-Based Estimate Estimated $115M Not provided
57 Qventus AI hospital operations automation $400M–$550M Partial Confidence Announced Private Round Valuation Estimated ~$202M Not provided
58 Causaly AI research platform for biopharma $400M–$550M Partial Confidence Comparables-Based Estimate Estimated $91M Not provided
59 Regard AI clinical insights and documentation $400M–$550M Strong Confidence Comparables-Based Estimate Estimated $82M Not provided
60 CytoReason AI models human disease biology $400M–$550M Partial Confidence Implied Valuation from Raise Implied $117M Not provided
61 Unlearn Digital twins for clinical trials $375M–$500M Strong Confidence Comparables-Based Estimate Estimated $135M Not provided
62 Nym Autonomous medical coding AI $350M–$500M Partial Confidence Implied Valuation from Raise Implied ~$95M Not provided
63 Ultromics AI heart failure diagnostics $350M–$500M Partial Confidence Implied Valuation from Raise Implied $115M Not provided
64 Saama AI analytics for clinical trials $400M–$430M Partial Confidence Acquisition Value Observed $79M Not provided
65 CodaMetrix Autonomous medical coding platform $350M–$450M Partial Confidence Announced Private Round Valuation Estimated ~$111M Not provided
66 Aignostics AI pathology for precision medicine $325M–$450M Partial Confidence Implied Valuation from Raise Estimated $54M Not provided
67 Corti Clinical conversational AI infrastructure $300M–$450M Low Confidence Comparables-Based Estimate Estimated ~$89M Not provided
68 Counterpart Health AI physician decision-support platform $250M–$500M Low Confidence Proxy-Based Estimate Estimated $0 standalone Not provided
69 Ibex Medical Analytics AI-powered cancer pathology diagnostics $300M–$450M Partial Confidence Comparables-Based Estimate Estimated $122M Not provided
70 QuantHealth AI simulation of clinical trials $300M–$450M Strong Confidence Implied Valuation from Raise Implied $65M Not provided
71 Atomwise AI small-molecule drug discovery $300M–$425M Low Confidence Comparables-Based Estimate Estimated $246M Not provided
72 Aqemia Physics-based generative drug discovery $275M–$400M Partial Confidence Implied Valuation from Raise Estimated $108M Not provided
73 Exo AI handheld ultrasound imaging $250M–$350M Partial Confidence Announced Private Round Valuation Estimated ~$375M Not provided
74 Eko Health AI digital stethoscope diagnostics $250M–$350M Partial Confidence Announced Private Round Valuation Estimated ~$165M Not provided
75 Qure.ai AI radiology diagnostic software $250M–$350M Partial Confidence Revenue or ARR Multiple Estimate Estimated $126M Not provided
76 ClosedLoop Healthcare predictive AI platform $200M–$350M Low Confidence Comparables-Based Estimate Estimated $50M Not provided
77 Turbine Simulates cancer biology for drugs $180M–$280M Partial Confidence Implied Valuation from Raise Implied $62M Not provided
78 Tandem AI Integrated AI drug discovery $180M–$260M Partial Confidence Implied Valuation from Raise Implied $82M Not provided
79 Empatica Medical wearables and health analytics $150M–$250M Low Confidence Implied Valuation from Raise Implied $32M Not provided
80 DeepScribe Ambient AI medical documentation $140M–$220M Low Confidence Announced Private Round Valuation Estimated ~$59M Not provided
81 Frontera Health AI-enabled autism diagnosis and care $140M–$220M Partial Confidence Implied Valuation from Raise Implied $32M Not provided
82 Janus AI AI healthcare revenue-cycle automation $120M–$220M Low Confidence Comparables-Based Estimate Estimated $63M Not provided
83 Sift Healthcare AI healthcare payment intelligence $125M–$190M Partial Confidence Implied Valuation from Raise Estimated $42M Not provided
84 Caption Health AI-guided ultrasound software $150M Full Confidence Acquisition Value Observed $63M Not provided
85 Augmedix Ambient AI medical documentation $139M Full Confidence Acquisition Value Observed ~$107M Not provided
86 Manas AI AI discovers oncology medicines $100M–$170M Partial Confidence Implied Valuation from Raise Implied $25M Not provided
87 Zebra Medical Vision AI medical imaging analytics $129M Full Confidence Acquisition Value Observed $50M–$57M Not provided
88 Iktos AI and robotics drug discovery $90M–$140M Partial Confidence Revenue or ARR Multiple Estimate Estimated $19M Not provided
89 Ezra AI-powered full-body MRI screening $80M–$150M Low Confidence Proxy-Based Estimate Estimated $43M Not provided
90 Paige AI digital pathology $81M Full Confidence Acquisition Value Observed ~$240M Not provided
91 Quris-AI Predicts drug safety with AI $40M–$90M Low Confidence Proxy-Based Estimate Estimated $37M Not provided
92 SigTuple AI-powered pathology diagnostics $25M–$40M Partial Confidence Revenue or ARR Multiple Estimate Estimated $50M–$52M Not provided
93 Memora Health Automated digital patient care navigation $30M Full Confidence Acquisition Value Observed $83M Not provided
94 BenevolentAI AI drug target discovery $10M–$25M Low Confidence Proxy-Based Estimate Estimated ~$282M Not provided
95 Deep 6 AI AI matches clinical-trial patients $17M Full Confidence Acquisition Value Observed $78M Not provided
96 Lantern Pharma AI-guided precision oncology drugs $17M Full Confidence Public Market Cap Observed $5M Not provided
97 OneThree Biotech AI predicts precision oncology therapies $8M–$20M Low Confidence Proxy-Based Estimate Estimated $4M Not provided
98 Arterys Cloud AI medical imaging $8M Full Confidence Acquisition Value Observed $70M Not provided
99 Olive AI Healthcare administrative automation $0M–$15M Low Confidence Proxy-Based Estimate Estimated ~$902M Not provided
100 Kheiron Medical Technologies AI breast cancer screening $2M Full Confidence Acquisition Value Observed $22M Not provided
Comparison table of the tech offered by leading healthcare AI companies: Which healthcare AI scribe has the most complete tech today? (Healthcare AI Market, NewMarketPitch)

Our research about AI in healthcare gets updated several times a month, so you always get the latest view of where things stand.

Is OpenEvidence really worth $15 billion today?

Yes. OpenEvidence's current $15B valuation comes from a recent $250M financing, so this is no longer an estimate built from an older funding round.

The speed of the repricing is more striking than the number itself. OpenEvidence reached roughly $1B in early 2025, then $3.5B, roughly $6B, $12B and now $15B. That works out to about a fifteenfold increase from the first billion-dollar valuation in roughly a year and a half.

The business has also grown into the price. Sacra estimates OpenEvidence reached about $300M in annualized revenue during 2026, after ending 2024 at only about $7.9M and 2025 around $150M. It also estimates gross margins around 90%. Those figures are estimates rather than audited accounts, so we would not treat them with the same confidence as the $15B financing price, but they help explain why investors have kept marking the company higher.

Even using that $300M revenue estimate, $15B represents roughly 50 times annualized revenue. OpenEvidence is already priced for a very large future business. The difference from many speculative Healthcare AI valuations is that the company has real usage at huge scale behind the story.

Could Isomorphic Labs actually be worth more than OpenEvidence?

Yes, Isomorphic Labs could currently be worth more than OpenEvidence, but we have much less certainty about the exact number.

Isomorphic Labs raised $2.1B in a Series B led by Thrive Capital, with Alphabet, GV, MGX, Temasek, CapitalG and the UK Sovereign AI Fund also participating. The company said the money would fund its AI drug-design engine and move its therapeutic pipeline closer to the clinic.

That financing is extraordinary. A $2.1B Series B would imply a valuation well into the double-digit billions under most normal dilution assumptions. But Isomorphic Labs did not publicly state a valuation, so our $14.0B–$26.3B range remains an inference rather than an observed price.

This is also a different bet from OpenEvidence. OpenEvidence already sells physician attention and clinical information at massive scale. Isomorphic Labs is being valued partly on what its drug-design technology may eventually create. A successful medicine can produce billions in revenue, but getting there means surviving preclinical work, human trials and regulatory review.

For now, OpenEvidence has the more defensible $15B valuation. Isomorphic Labs has the larger possible valuation range.

How many Healthcare AI unicorns are there now?

Healthcare AI has well over 20 privately held billion-dollar companies in our dataset once we remove public companies and old acquisition values.

The distinction is important because our 100-company dataset deliberately tracks current company value rather than only traditional venture-backed unicorns. Tempus, XtalPi, Relay Therapeutics, AbCellera and several other entries use public-market values. They are billion-dollar Healthcare AI companies, but they are no longer unicorns in the usual VC sense.

Among private companies, the billion-dollar group includes OpenEvidence, Commure, Abridge, Komodo Health, Chai Discovery, Xaira Therapeutics, Hippocratic AI, Innovaccer, Formation Bio, Pathos AI, Viz.ai, Aidoc, Owkin, Medable, Ambience Healthcare, Clarify Health Solutions and Iterative Health. Cleerly, Huma and Immunai sit around the boundary depending on where their estimated ranges land.

The count is still moving. Angle Health, which was outside the original ranking, recently announced a $600M financing package at a $2.7B valuation. The company says it now serves more than 5,000 employers in 47 states and has posted four straight profitable quarters. That makes it another significant AI-native healthcare company that belongs near the upper part of a broader ranking.

Healthcare AI no longer has merely a handful of unicorns. There is a substantial second tier of billion-dollar private companies below the $5B-plus leaders.

Scorecard showing what sets the leading healthcare AI company apart: Why is Abridge winning the AI medical scribe market? (Healthcare AI Market, NewMarketPitch)

In our market report about AI in healthcare, we look at what the winners do differently, so you can learn from the best instead of guessing.

Are Healthcare AI valuations rising again?

Yes. Healthcare AI valuations are rising quickly again, although most of the money is going to a relatively small group of companies.

Rock Health counted $14.2B of U.S. digital-health venture funding in 2025, up 35% from $10.5B a year earlier and the highest total since 2022. AI-enabled companies captured 54% of that money, versus 37% the year before, and their average rounds were roughly 19% larger than those of non-AI companies.

The concentration is just as important as the rebound. Rock Health counted 26 funding rounds of at least $100M during 2025, up from 18 in 2024. Investors started writing larger checks again without spreading that enthusiasm evenly across the market. A year with this many $100M rounds is a signal we track every quarter in our report covering the healthcare AI market.

Our individual company trajectories show the same thing. OpenEvidence moved from roughly $1B to $15B. Abridge climbed from below $1B to above $5B. Hippocratic AI moved from around $500M to $3.5B. Ambience Healthcare reached $1.25B.

These days, the valuation boom is concentrated around companies that can show unusually fast adoption, strong distribution or a credible path to automating expensive healthcare work.

Which Healthcare AI startups have increased their valuations the fastest?

OpenEvidence, Chai Discovery, Hippocratic AI and Abridge have produced some of the fastest valuation increases in Healthcare AI.

OpenEvidence's move from about $1B to $15B is the biggest large-scale jump in the dataset. Abridge's funding history went from roughly $850M in early 2024 to $2.75B later that year and $5.3B in its 2025 Series E. Bloomberg reported that the $300M Series E valued Abridge at $5.3B, and Abridge later confirmed the financing itself.

Ambience provides another useful comparison. Its $243M Series C valued the company at $1.25B, and the company says the platform now covers documentation, coding and clinical documentation integrity rather than just transcription.

The biggest jumps are clustering around clinical search, ambient documentation, healthcare automation and AI-native drug development rather than older standalone diagnostic algorithms.

Company Earlier valuation Recent valuation Approximate change
OpenEvidence ~$1.0B $15.0B ~15×
Hippocratic AI ~$500M $3.5B ~7×
Abridge ~$850M $5.3B priced round ~6×
Ambience Healthcare Sub-$500M earlier stage $1.25B >2×
Commure Multi-billion prior base $7.0B Continued repricing
Iterative Health Sub-$1B prior level ~$1.3B Entered unicorn range
Angle Health Earlier sub-$2B level $2.7B Major step-up

Why is OpenEvidence worth so much more than most Healthcare AI startups?

OpenEvidence gets a huge valuation premium because doctors can start using the product immediately and then use it repeatedly throughout the working day.

That sounds simple, but healthcare software usually does not spread that way. Hospital systems can take months to buy and deploy enterprise tools. Medical devices may require regulation and reimbursement. Drug-discovery companies can wait years for clinical results.

OpenEvidence sits in a much faster loop. Doctors ask clinical questions, search medical literature and receive evidence-backed answers without waiting for a hospital-wide technology rollout. Forbes recently reported that OpenEvidence was used for nearly 41 million queries in a month, while industry reporting put verified U.S. clinician users above one million.

Doximity's physician survey helps explain why the product found such a large audience. Literature search was the most common AI use case among physicians in its latest survey, used by 35% of respondents, up from 22% in the earlier survey period.

That combination of daily need, bottom-up adoption and a very large U.S. physician audience is rare in healthtech. OpenEvidence still has to prove that its advertising and data-driven model can support a $15B company, but the adoption behind the valuation is much harder to dismiss now than it was a year ago.

Bar chart of where investors put their money in healthcare AI, by category: Where did healthcare AI investors put their money this past year? (Healthcare AI Market, NewMarketPitch)

In our document detailing everything you need to know about healthcare AI, you will always find fresh funding data, taken straight from our own verified funding database.

Why are AI medical scribes becoming billion-dollar companies?

AI medical scribes are becoming billion-dollar companies because documentation is painful, frequent and expensive enough that doctors and hospitals can see the value almost immediately.

Abridge reached a $5.3B priced valuation. Ambience Healthcare reached $1.25B. Our dataset places Nabla around $700M–$950M, Suki around $500M–$700M and DeepScribe around $140M–$220M. Ambient documentation startups at different valuation levels are compared side by side on the market grids in our healthcare AI market report.

During 2025 alone, STAT calculated that ambient-AI companies had announced at least $975M of funding. Abridge and Ambience accounted for a huge share of that total.

Doctors are also using these products now. Doximity found that 29% of physicians surveyed were already using voice-based documentation tools such as ambient scribes, up from 20% in its earlier survey. Among all physicians surveyed, 79% said they were interested in using AI for voice-based documentation.

The category is now moving beyond note generation. Abridge is building coding into the clinical conversation, while Ambience already sells documentation, coding and clinical documentation integrity tools. That gives these companies a chance to capture much more of the healthcare workflow than a transcription product ever could.

Is Abridge still winning the AI medical scribe race?

Abridge is currently the valuation leader among dedicated ambient clinical AI startups, but the race is much more crowded than its $5B-plus valuation suggests.

Abridge's $300M Series E valued the company at $5.3B. The company also said its platform was expanding beyond note-taking, including tools that help validate billing codes during clinical conversations.

Ambience Healthcare is already a unicorn at $1.25B. Nabla and Suki remain several hundred million dollars behind on our estimates, while Tandem Health recently raised another $100M to expand its AI clinical assistant across Europe. Tandem says it works with 10,000 care organizations across 14 European markets.

Heidi Health is another serious name now. Recent reporting put its valuation around $900M after a $100M Series C, with approximately 2.8 million patient interactions being processed each week and a major NHS contract covering 15 trusts, integrated care boards and more than 1,200 GP practices.

Abridge still leads on valuation. The more interesting fight is over how much of the surrounding clinical workflow each company can take over once documentation itself becomes cheaper and easier to copy.

Are Healthcare AI agents becoming more valuable than traditional healthcare software?

In administrative healthcare, investors are clearly paying billions for AI systems that can do part of the work rather than simply give employees another software tool.

Commure is the strongest example in our dataset. The company raised $70M at a $7B post-money valuation and says its products now run across more than 500 healthcare organizations and more than 3,000 sites of care.

That is a much bigger ambition than selling a dashboard. Commure is targeting revenue-cycle work and clinical operations, where healthcare organizations already spend enormous amounts on human labor.

Hippocratic AI follows the same direction from the patient side. Its $3.5B valuation reflects a bet that AI agents can handle repetitive patient interactions such as follow-ups, intake and other non-diagnostic work at much greater scale than human call centers.

The economics are easy to understand. A conventional software seat captures some of the value created by an employee. An AI system that reliably completes part of that employee's workload can go after a much larger pool of spending.

We still need to see how much of that promise survives real deployment, but investors are assigning much higher values to companies that automate work than to many companies that merely analyze it.

Table of healthcare AI startups that shut down or struggled, and why: What broke these healthcare AI startups, and how did they end? (Healthcare AI Market, NewMarketPitch)

Learning from others' mistakes is the cheapest lesson there is. In our report covering the healthcare AI market, we look at what broke startups before you, so you don't repeat it.

Why are AI drug-discovery startups worth billions before they sell a drug?

AI drug-discovery startups can reach billion-dollar valuations early because investors are pricing the possible value of future medicines rather than today's software revenue.

That explains why our ranking has so many drug-focused companies near the top. Isomorphic Labs is estimated at $14.0B–$26.3B. XtalPi and Insilico Medicine sit around $5B. Relay Therapeutics and AbCellera are above $4B. Chai Discovery is at $3.8B. Xaira Therapeutics, Pathos AI and Formation Bio are also worth several billion dollars on our estimates.

Isomorphic's recent $2.1B Series B is the most extreme financing example. The company is using the money to develop its AI drug-design engine and push therapeutic programs toward human trials. Billions in value before a first drug is sold is a risky bet, and we rate risks like this by likelihood in our healthcare AI market report.

The possible payoff is enormous. A successful drug can produce billions of dollars of annual sales, and a platform that repeatedly creates successful drugs could become much more valuable than a normal SaaS company.

Possibility is not proof, though. Recent Financial Times reporting on medical AI highlighted how often strong technical results still lack equally strong evidence of real-world clinical benefit. Drug development adds another level of uncertainty because a promising molecule still has to survive clinical trials.

That is why drug-discovery names can reach the very top of a Healthcare AI ranking while carrying some of its widest valuation ranges.

Is clinical workflow AI now attracting more money than AI diagnostics?

Yes. Clinical and administrative workflow AI is currently attracting more venture money than standalone diagnostic AI.

Rock Health's H1 2025 data showed $1.9B going into non-clinical workflow companies and another $1.9B into clinical workflow companies. Data infrastructure added $893M. Together, those three categories absorbed 55% of all digital-health venture funding in the period.

The valuations tell the same story. Commure is worth $7B. Abridge is worth more than $5B on its latest priced round. OpenEvidence is at $15B. Hippocratic AI is at $3.5B. Ambience Healthcare has crossed $1B.

Many dedicated diagnostic companies sit much lower: RapidAI around $600M–$750M, Lunit around $563M in our dataset, Ultromics around $350M–$500M, Ibex Medical Analytics around $300M–$450M and Qure.ai around $250M–$350M.

Diagnostic AI can be clinically impressive and still be harder to monetize. Companies may need regulatory clearance, strong validation, reimbursement and physician adoption before revenue catches up. Workflow software can often prove its value faster by cutting documentation time or administrative labor.

Bar chart of the healthcare AI market size year by year to 2036, with its growth rate: How much room is left for this market to grow? (Healthcare AI Market, NewMarketPitch)

In our research about AI in healthcare, we always try to gather several sources and make estimates that make sense, so you can work with solid numbers.

Which types of Healthcare AI startups get the highest valuations?

AI drug discovery produces the greatest number of multi-billion-dollar companies, while clinical intelligence and workflow automation currently produce some of the fastest-growing valuations.

Drug discovery gives us Isomorphic Labs, XtalPi, Insilico Medicine, Relay Therapeutics, Chai Discovery, Xaira Therapeutics, Formation Bio and Pathos AI.

Clinical intelligence has fewer companies but one enormous winner in OpenEvidence. Healthcare operations adds Commure and Innovaccer. Ambient clinical AI adds Abridge and Ambience. Patient-facing AI gives us Hippocratic AI.

What is striking is how little valuation leadership now comes from the older idea of Healthcare AI as mainly image recognition. Medical imaging remains an important business, but the largest newer valuations are increasingly attached to companies that sit inside everyday information and workflow loops.

Healthcare AI segment Representative companies Highest valuation in our data What drives the value
Clinical intelligence OpenEvidence, Komodo Health $15B Physician usage, data and distribution
AI drug discovery Isomorphic, XtalPi, Insilico, Chai Up to $26.3B estimated Therapeutic pipeline potential
Healthcare operations Commure, Innovaccer, AKASA $7B Administrative labor automation
Ambient clinical AI Abridge, Ambience, Nabla, Suki $6.2B–$7.4B estimated Documentation and clinical workflow
Patient-facing AI agents Hippocratic AI $3.5B Automated patient interactions
Clinical trials Iterative Health, Medable, Unlearn ~$1.8B upper range Trial efficiency and recruitment
Imaging and diagnostics HeartFlow, Aidoc, RapidAI, Lunit ~$4.4B Diagnostic and workflow value

Are Healthcare AI valuations actually backed by revenue yet?

Some of the biggest Healthcare AI valuations now have serious revenue or usage behind them, but revenue still explains only part of this ranking.

OpenEvidence is the cleanest example of a company where commercial scale has caught up quickly with venture expectations. Sacra estimates around $300M in annualized revenue against a $15B valuation. Commure has large-scale deployment across hundreds of healthcare organizations. Angle Health says it has delivered four consecutive profitable quarters while serving more than 5,000 employers.

Drug discovery works differently. Isomorphic Labs can attract $2.1B of financing without behaving anything like a mature software company because investors are valuing its research platform, partnerships and future therapeutic pipeline.

The funding data also show that investors are deliberately accepting this split. Rock Health found that AI-enabled digital-health companies received 54% of all U.S. digital-health funding in 2025 and raised larger rounds on average than non-AI companies.

Revenue has become much more important than during the previous healthtech boom, especially for workflow software. It still cannot explain a ranking that also contains biotech-like companies whose most valuable products may not exist commercially for years.

Map of healthcare AI business models with company logos: How does the healthcare AI market actually make money? (Healthcare AI Market, NewMarketPitch)

If you build or invest in the healthcare AI market, you need to know which business models pay off now and which ones are fading. That's why our report covering it has a whole section on it.

Does raising more money usually make a Healthcare AI startup more valuable?

No. Healthcare AI has several companies that raised huge amounts of capital without creating an equally large current valuation.

OpenEvidence sits at one extreme: about $700M of cumulative funding against a $15B valuation in our dataset. Abridge is around $774M of funding against a valuation above $5B. Hippocratic AI is around $404M of funding against $3.5B.

Freenome shows the opposite profile. It has raised roughly $1.43B, yet our current valuation is around $1.8B. Biofourmis has raised roughly $462M and sits in a $400M–$800M estimated range. Paige eventually sold for far less than the amount it had raised. How much value each funding dollar buys, and which bets investors now avoid, are questions we trace in our report covering the healthcare AI market.

Caption Health is another useful reality check. GE HealthCare's filings show roughly $150M of total consideration when upfront payment, holdback and estimated earn-out value are combined. That is a much more precise figure than treating the acquisition as a generic success story.

Healthcare AI rewards capital efficiency very unevenly. Software businesses can produce several dollars of valuation for each dollar invested when adoption takes off quickly. Drug development, diagnostics and clinical infrastructure often need far more money before investors know whether the underlying business will work.

Company Approx. current value Approx. funding Value relative to funding
OpenEvidence $15.0B ~$700M ~21×
Abridge $6.2B–$7.4B ~$774M ~8–10×
Hippocratic AI $3.5B ~$404M ~8.7×
Commure $7.0B ~$1.18B ~5.9×
Chai Discovery $3.8B ~$630M ~6×
Pathos AI $3.0B ~$732M ~4.1×
Freenome ~$1.8B ~$1.43B ~1.3×
Paige ~$81M acquisition ~$240M ~0.3×

Why did some once-hyped Healthcare AI companies lose so much value?

Several first-wave Healthcare AI companies lost most of their value because raising money and building technically impressive products did not translate into a durable business.

Olive AI is the most extreme example in our dataset. The healthcare automation company raised roughly $902M and once carried a multi-billion-dollar private valuation, but the business was eventually broken up and wound down.

Paige, Zebra Medical Vision, Caption Health, Augmedix, Deep 6 AI and Arterys also appear in our ranking through acquisition values rather than current standalone startup valuations.

The acquisition data can be sobering. GE HealthCare's filing values Caption Health at roughly $150M including contingent consideration. Our dataset puts Zebra Medical Vision's acquisition around $129M and Paige around $81M. Those outcomes are far below the valuations now being attached to the new generation of Healthcare AI leaders.

That history deserves attention when looking at today's $5B, $10B and $15B numbers. Healthcare is full of products that look valuable in a demo but struggle with integration, procurement, reimbursement or clinical proof once they enter the real system.

Google Trends curve of worldwide searches over five years for the healthcare AI market: Lately, searches for healthcare AI keep climbing as AI enters hospitals (Healthcare AI Market, NewMarketPitch)

In our document detailing everything you need to know about healthcare AI, we don't want to repeat what boring consulting reports say. Instead, we show you the real and latest market signals that matter.

Is Healthcare AI adoption big enough to support these valuations?

Healthcare AI adoption is already large enough to support a real industry, especially in clinical search, documentation and administrative work.

A JAMA Network Open study covering 2,174 nonfederal U.S. hospitals found that 31.5% were already using generative AI integrated with their electronic health records in 2024. Another 24.7% planned to adopt it within a year.

Physicians are even further along. Doximity surveyed 3,151 U.S. doctors and found that 54% were already using AI in their clinical practice, while 94% were either users or interested in using it. Adoption increased from 47% in its earlier survey period to 63% in the later one. Among physicians who already used AI, 69% said they used it every day.

The most popular uses line up surprisingly well with the highest private valuations. Literature search reached 35% of physicians in Doximity's survey, while ambient documentation reached 29%. OpenEvidence dominates the first category; Abridge and its competitors are fighting over the second.

That gives us much stronger evidence than during the first Healthcare AI investment wave. Doctors and hospitals are actually using these products now. The remaining argument is about how much revenue and durable market power that usage can produce.

Is the U.S. still dominating Healthcare AI startups?

Yes. The U.S. still dominates the largest Healthcare AI valuations, although Europe and Australia are producing much stronger competitors than a few years ago.

OpenEvidence, Commure, Abridge, Chai Discovery, Hippocratic AI, Xaira Therapeutics, Formation Bio and Pathos AI are all deeply tied to the U.S. funding and healthcare ecosystem. The size of American healthcare spending, the number of large health systems and the depth of U.S. venture capital make it easier to create very large valuations there. Total healthcare spending is not the market, so we size it ourselves in our healthcare AI market report.

Europe has a growing second group through companies such as Owkin, Nabla, Tandem Health, Aqemia, Iktos and Causaly. Tandem says its clinical AI is now used by 10,000 care organizations across 14 European countries, showing that ambient AI can scale outside the U.S. as well.

Australia's Heidi Health is also expanding aggressively into the UK. Recent reporting put the company near unicorn status at roughly $900M, with 2.8 million weekly patient interactions and a large NHS deployment.

The U.S. still owns most of the very large valuations. Ambient clinical AI may be one of the first Healthcare AI categories where the international gap starts narrowing quickly.

Are new billion-dollar Healthcare AI companies still appearing?

Yes. New Healthcare AI unicorns are still appearing, so today's ranking is not simply recycling the companies that raised money during the 2021 healthtech boom.

Ambience Healthcare became a $1.25B company after its $243M Series C. Newer names such as Iterative Health have also moved into unicorn territory.

Angle Health is the freshest example outside the original table. The AI-native healthcare-benefits company announced a $600M equity financing package at a $2.7B valuation and said it now serves more than 5,000 employers, operates across 47 states and has been profitable for four consecutive quarters.

Heidi Health is just below the traditional unicorn line at around $900M based on the latest reported financing.

The pipeline remains active. What has changed is the type of company reaching billion-dollar status: many of today's newcomers are built around generative AI, automation or AI-native workflows from the beginning rather than adding AI to an older digital-health product.

Timeline of the events that pushed the healthcare AI market forward, with their impact: What pushed healthcare AI forward, year after year? (Healthcare AI Market, NewMarketPitch)

In our report covering the healthcare AI market, we like to show you the big picture. We know your time is precious, so we make every page quick to read and packed with as much learning as possible per minute.

So what does the Healthcare AI valuation ranking tell us right now?

Healthcare AI has become a genuine multi-billion-dollar startup market, and the biggest valuations are concentrating around companies that either own a high-frequency healthcare workflow or carry enormous drug-development upside.

OpenEvidence currently gives us the clearest private-market benchmark at $15B. Isomorphic Labs could be worth more, but the exact valuation remains inferred. Commure at $7B and Abridge above $5B show how much money investors are willing to put behind administrative and clinical workflow automation.

The deeper change is visible in where doctors are actually using AI. Doximity found literature search and ambient documentation among the most common physician AI applications, while Rock Health found workflow categories taking a huge share of healthcare venture funding. The highest-growth valuations are clustering around those same jobs.

Drug discovery remains the other major source of enormous valuations. Isomorphic Labs, XtalPi, Insilico Medicine, Chai Discovery and several others could create much more value if their technology produces successful medicines, but that outcome still depends on years of scientific and clinical execution.

Today's Healthcare AI boom is much better grounded than the previous healthtech cycle because usage is now visible at hospital and physician scale. The valuations are not equally convincing, though. Clinical search, documentation and administrative automation currently have the clearest commercial proof. Drug discovery offers the biggest upside and the widest uncertainty.

Our methodology

This analysis of the healthcare AI market estimates the most defensible current valuation for each company rather than simply repeating the last number ever reported. We focused on companies whose business is genuinely centered on Healthcare AI and excluded broader corporations where the category represents only a small side activity.

We reviewed completed funding rounds, company and investor announcements, regulatory filings, financial statements, public-market data, acquisition disclosures, revenue or ARR figures, operating metrics, comparable transactions and reporting from established financial and healthcare publications. A recent completed financing with a disclosed valuation normally received the most weight for a private company.

Directly observed valuations were kept separate from implied and estimated valuations. OpenEvidence's $15B financing valuation, for example, is a stronger anchor than Isomorphic Labs' estimated $14.0B–$26.3B range, which has to be inferred from the size and structure of its $2.1B Series B.

Recency mattered as well. A valuation disclosed within roughly the previous twelve months could often remain the main anchor. Older rounds were checked against subsequent financing, revenue growth, public-market comparables, acquisitions and operating progress before being carried forward.

When a funding amount was known but the valuation was not disclosed, we could infer a plausible range using stage-appropriate dilution assumptions. When reliable revenue or ARR data were available, we could also use multiples from relevant public companies or transactions while adjusting for business model, growth, maturity and current market conditions.

Healthcare AI contains very different businesses, so we did not apply one valuation framework to the entire market. Clinical software can often be compared through revenue, growth and usage; public biotech companies can be marked to market; acquired businesses can use transaction values; and AI drug-discovery companies require more weight on financing evidence, partnerships, pipelines and scientific optionality.

Operating data such as clinician usage, hospital deployments, customer counts and profitability were used as supporting evidence rather than substitutes for actual valuation data. Strong adoption can make a financing valuation more understandable, but it does not turn an estimate into an observed price.

We also distinguish between traditional private-company unicorns and billion-dollar Healthcare AI companies more broadly. Public companies such as Tempus, XtalPi, Relay Therapeutics and AbCellera may appear in the ranking using market capitalization, but they are not counted as private unicorns.

We did not mechanically average different methods. Fresher and more direct evidence received more weight, and ranges were widened where the underlying evidence required more inference. The aim is to avoid false precision: a transparent $14B–$26.3B estimate is more useful than an exact-looking number unsupported by a disclosed transaction.

Key sources used for this analysis include Forbes reporting on OpenEvidence's $15B valuation and clinician usage, Fierce Healthcare on OpenEvidence's financing, Sacra on OpenEvidence's estimated revenue and funding history, Isomorphic Labs' $2.1B Series B announcement, Commure's $7B financing announcement, Bloomberg on Abridge's $5.3B valuation, Abridge's Series E recap, Ambience Healthcare's Series C announcement, Rock Health's digital-health funding analysis, Rock Health's H1 market overview, the JAMA Network Open study on hospital generative-AI adoption, Doximity's State of AI in Medicine report, Angle Health's financing announcement, The Times on Heidi Health, GE HealthCare's filing on Caption Health, and the Financial Times on real-world evidence for medical AI.

Table of the events that could slow the healthcare AI market, with their odds and impact: What could go wrong for healthcare AI? (Healthcare AI Market, NewMarketPitch)

When you build or invest in the healthcare AI market, you need clarity, not confusion. In our research about AI in healthcare, we always try to put numbers on and quantify whatever is usually vague and confusing.