Radar · Industry landscape · the United States
AI in Healthcare Landscape of the United States
1,376 AI in Healthcare companies in the United States, in one picture: who is hiring, who is raising money, who founded them, where they are based, which skills employers want and where the research is going. Updated August 2026.
1,376companies tracked
$27.2Bdisclosed funding
131hiring right now
649events · 24 months
Who leads AI in Healthcare in the United States
Shows 1,376 AI in Healthcare firms in the U.S., highlighting the 131 currently hiring and the 535 that have disclosed funding, with Axtria, Lila Sciences, and HeartFlow leading hiring and XtalPi, HeartFlow, Abridge Inc. best funded.
open roles
Hiring now
ranked by live open roles
- 01
Axtria10last posted Aug 2026
- 02
Lila Sciences10last posted Jun 2026
- 03
HeartFlow10last posted Jun 2026
- 04
SafelyYou10last posted Jun 2026
- 05
Recursion Pharmaceuticals9last posted Jun 2026
- 06
Karius8last posted Jun 2026
- 07
Qualified Health8last posted Jun 2026
- 08
Belle8last posted Jun 2026
131 companies hiring · 6 posted in the last 30 days
disclosed funding
Most funded
disclosed totals, all rounds
- 01
XtalPi$1.3BPost IPO · Sep 2025
- 02
- 03
Abridge Inc$778.4MSeries E · Jun 2025
- 04
Tempus$760MSeries G · Oct 2022
- 05
Generate Biomedicines$693MSeries C · Dec 2024
- 06
- 07
Insitro$643.2MSeries C · Mar 2021
- 08
Formation Bio$608.2MSeries D · May 2024
535 companies with disclosed rounds · $27.2B total
revenue
Revenue leaders
official filings first, else latest snapshot
- 01
Innovaccer$45.8MFY2024 filing
- 02
Personalis$15.5MFY2025 filing
- 03
- 04
Spectral$6.7MFY2025 filing
- 05
- 06
Doceree$4.3MFY2024 filing
- 07
Relay Therapeutics$3MFY2022 filing
- 08
Alpenglow Biosciences$201ksnapshot Jul 2024
10 companies with a revenue figure
headcount
Largest teams
ranked by tracked headcount
- 01
- 02
- 03
PathAI573tracked employees
- 04
AIdoc403tracked employees
- 05
- 06
- 07
In Silico300tracked employees
- 08
Ubie250tracked employees
142 companies with headcount data
share of events
Share of voice
share of all tracked sector news events, 24 months
- 01
- 02
- 03
- 04
Aclarion3.5%39 tracked events
- 05
Hippocratic AI3.0%34 tracked events
- 06
ArisGlobal2.9%33 tracked events
- 07
Suki2.7%30 tracked events
- 08
Rad AI2.5%28 tracked events
1,124 tracked events across 133 companies
web reach
Most-used apps
the sites in this sector the web visits most
- 01
- 02
Consensustop 50kconsensus.app
- 03
Speechifytop 50kspeechify.com
- 04
Brain.fmtop 100kbrain.fm
- 05
Prenuvotop 500kprenuvo.com
- 06
Flatiron Healthtop 500kflatiron.com
- 07
K Healthtop 1Mkhealth.com
- 08
Abbytop 1Mabby.gg
368 companies here run a site with a measured audience · 18 of them sit inside the web’s top million
Radar
See all 1,376 AI in Healthcare companies in the United States
Filter by funding, headcount, hiring and location, and export the list.
How the AI in Healthcare ecosystem in the United States grew, 2016–2025
Lists the number of companies founded each year from 2016 to 2025, noting the highest count of 126 in 2023 and 58 in 2025.
Companies founded / year
new AI in Healthcare companies in the United States
20162025
peak 126 in 2023
Companies raising / year
with a disclosed round that year
20162025
peak 128 in 2024
Disclosed funding / year
sum of disclosed rounds (USD)
20162025
peak $4.7B in 2021
Where AI in Healthcare companies in the United States are based
Ranks U.S. cities by company count, with San Francisco hosting 142 firms, New York City 106, Boston 50, Cambridge 42, and Los Angeles 31.
Hub 01
San Francisco
142 AI in Healthcare companies
31% of the AI in Healthcare companies across these hubs
142companies
$5.3Bdisclosed funding
25hiring now
Hub 02
New York City
106 AI in Healthcare companies
23% of the AI in Healthcare companies across these hubs
106companies
$3.2Bdisclosed funding
14hiring now
Hub 03
Boston
50 AI in Healthcare companies
11% of the AI in Healthcare companies across these hubs
50companies
$1.5Bdisclosed funding
4hiring now
Hub 04
Cambridge
42 AI in Healthcare companies
9% of the AI in Healthcare companies across these hubs
42companies
$3.9Bdisclosed funding
8hiring now
Hub 05
Los Angeles
31 AI in Healthcare companies
7% of the AI in Healthcare companies across these hubs
31companies
$279.9Mdisclosed funding
2hiring now
Hub 06
San Diego
29 AI in Healthcare companies
6% of the AI in Healthcare companies across these hubs
29companies
$390.3Mdisclosed funding
2hiring now
Hub 07
Palo Alto
28 AI in Healthcare companies
6% of the AI in Healthcare companies across these hubs
28companies
$607.8Mdisclosed funding
6hiring now
generated artwork
Hub 08
Seattle
27 AI in Healthcare companies
6% of the AI in Healthcare companies across these hubs
27companies
$290.3Mdisclosed funding
1hiring now
The AI in Healthcare market map of the United States: what these companies actually do
Breaks down product sub‑categories, showing healthtech (1,331) and enterprise tech (1,148) as the largest, and identifies subscription (1,262) as the most common revenue model.
- Healthtech1,331 companies · $26.9B raised · 128 hiring
- Enterprise Tech1,148 companies · $25.6B raised · 118 hiring
- Enterprise Software915 companies · $21.9B raised · 99 hiring
- Artificial Intelligence724 companies · $20.7B raised · 94 hiring
- SaaS492 companies · $14.6B raised · 57 hiring
- Digital Diagnostics Platforms461 companies · $6.8B raised · 33 hiring
- Healthtech SaaS431 companies · $13.2B raised · 53 hiring
- Life Sciences377 companies · $14.9B raised · 47 hiring
- Consumer Digital286 companies · $2.8B raised · 16 hiring
- Chronic Disease Management272 companies · $6.2B raised · 26 hiring
- Deep Tech178 companies · $10.8B raised · 36 hiring
- Life Sciences Analytics139 companies · $2.6B raised · 8 hiring
Monetization
How AI in Healthcare companies make money
How many companies earn revenue each way. Plenty use more than one model, so the counts add up to more than the sector.
Subscription1,262
Fee-For-Service64
E-Commerce - Product43
Physical Commerce39
Commission on Transaction21
Advertising19
E-Commerce - Service11
Licensing9
Funding, M&A and the deals moving AI in Healthcare in the United States
Funding 180Leadership 154Earnings 103M&A 52Announcement 40IPO 28Product 25Contracts 20Lawsuit 15Capital 12
- FundingAclarion Inc. (Nasdaq: ACON), a Broomfield-based health-care technology that early this year raised $10.4 million through a stock sale, recently reported that its “existing cash resources are sufficient to fund operations into the second half of 2027.”2026-05-05
- FundingTechcyte has now raised a total of $50.4M in total equity funding and is backed by Mayo Clinic, Van Tuyl Companies, and Zoetis.2026-05-04
- M&AAzra AI acquires Thynk Health2026-05-01
- M&AReliance Retail today announced that it has acquired actor Priyanka Chopra Jonas' haircare brand ‘Anomaly’, including its brand assets, digital properties and trademarks, in a move that significantly expands its beauty portfolio, the company said in a statement on 30 April.2026-04-30
- FundingAidoc Raises $150M Series E for Clinical AI Scaling2026-04-29
- IPORecursion, based in Salt Lake City, prefers to call itself a “TechBio” company—… went public in 2021 with a $436.4 million raise...2026-04-22
- M&AAxtria, a global provider of AI‑first data analytics solutions for the life sciences industry, announced the acquisition of Conexus Solutions, a technology and managed services partner specializing in CRM transformation across the Veeva and Salesforce ecosystems.2026-04-19
- FundingLatent Health secured $80 million in total funding from investors including Transformation Capital, Spark Capital, McKesson Ventures, Conviction, General Catalyst, and Y Combinator to scale its AI platform for medication access.2026-04-09
- FundingSift, an El Segundo, Calif. startup, secured a $42 million Series B to develop its platform for collecting and processing data from AI-driven hardware systems.2026-04-02
- IPOGenerate Biomedicines had issued 25,000,000 shares in its public offering on February 27th. The total size of the offering was $400,000,000 based on an initial share price of $16.00.2026-04-01
Mergers and acquisitions
Deals from the last 24 months where a AI in Healthcare company in the United States was the buyer or the one bought, newest first. “Undisclosed” means the price was never published — not that the deal was worth nothing.
| Acquirer | Target | Deal value | Status | Date |
|---|---|---|---|---|
| undisclosed | Completed | 2026-05-05 | ||
| undisclosed | Announced | 2026-05-01 | ||
| undisclosed | Announced | 2026-04-19 | ||
| undisclosed | Announced | 2026-02-27 | ||
| CombinAble.AI | undisclosed | Completed | 2026-02-20 | |
| undisclosed | Announced | 2025-12-10 |
Who is listing, hiring leaders, launching and winning work
Details notable events such as IPO filings, leadership changes, product launches, and contract wins for companies in the sector.
IPO pipeline
7 companies listed or filing · last 24 months
EmageonIPO · Nasdaq · EMAG · 2 reportsFeb 2025
Leadership moves
47 tracked people moves · last 12 months
KinoTekDr. Darin Padua · Appointment → Scientific AdvisorMay 2026
ArteraDamon Lanphear · Appointment → Chief Technology OfficerApr 2026
Product launches
tracked launches · last 12 months
Lantern PharmawithZeta.ai (AI platform for rare cancer drug discovery)Apr 2026
UnityAIAgentic AI Suite (Agentic AI platform for patient engagement and provider operations)Sep 2025
Contract wins
10 customer wins · last 24 months
Visage Imagingwon Advanced Radiology ManagementNov 2025
VirtualScopicswon u.s. department of defenseFeb 2025
Workforce actions
4 companies cutting roles · last 24 months
iCAD~23 roles reported · cost reductionDec 2024
Regulatory & litigation
2 regulatory events · 11 tracked suits · 24 months
- Lantheus investors v lantheus holdingssecurities fraud · FiledNov 2025
- Investors who acquired Lantheus Holdings, Inc. v lantheus holdingssecurities fraud class action · FiledNov 2025
Earnings pulse
companies reporting results · last 24 months
16 companies reporting115 company-quarters trackedbeat 20miss 18in line 2
Half of these companies grew revenue faster than +15.0%, half slower.
Who is building AI in Healthcare in the United States
Founders and chief executives12 of 1,180, from the best-funded companies on this page
Ex-Kaleido Biosciences, Boeing. Truman State University BS 2009, Washington University School of Medicine in St. Louis PhD 2015
Merck, Washington University School of Medicine in St. Louis, 1990
Engageli, ex-Coursera, ex-Calicolabs, UC Berkeley Electrical Engineering & Computer Sciences (EECS), 1995
Founder Foundation 649, ex-Co-Founder Day 7 Photography, Oscar Insurance, salesforce.com. The University of Texas at Austin BSc 2013
Ex-Weill Cornell Medicine. Temple University - Lewis Katz School of Medicine MD
Ex-Talpiot, IAF. The Hebrew University BSc 2009, Tel Aviv University MS 2014
Ex-Ingersoll Rand, Tata Consultancy Services · Institute of Engineering and Technology BTech 2008, IIM Ahmedabad MBA 2011
repeat founder
UC San Diego BA 1972, Stanford University PhD 1980
Founder & CEO Insilico Medicine, ex- Founder & CEO Deep Longevity, NeuroG, ATI Technologies. Queen's University, Lomonosov Moscow State University PhD
Where the founders studied
alma mater on record for 329 of 1,180 founders
Stanford University60
University of California (Berkeley)31
Harvard University31
Massachusetts Institute of Technology24
University of Pennsylvania16
Duke University14
Columbia University13
University of Chicago13
Where they worked before
a previous employer on record for 48 of 1,180 founders
Google17
Microsoft8
Amazon6
Facebook4
McKinsey3
Intel3
Bain2
Morgan Stanley2
Founders flagged as repeat founders
of 1,110 founders with a profile on this page
13
carry a repeat-founder flag
- flagged as repeat founders13
- no repeat-founder flag1,097
Women and men among the founders
first names matched for 1,019 of 1,180 founders
13%
of matched founders are women
- women129
- men890
Inferred from first names, using 119 million people who state their own gender: a first name counts only where at least 20 of them share it and at least 90% of those share the same gender. The other 161 founders go in neither column.
Radar
Look up the people behind AI in Healthcare companies in the United States
Search founders, executives and operators by company, role and location.
Who funds AI in Healthcare in the United States
Records 1,436 funding rounds since 2016 from 1,520 investors, with a typical round size of $4 million.
| Investor · most active investors since 2016 | Rounds | Led | Latest |
|---|---|---|---|
| HHS | 132 | — | Dec 2025 |
| Y Combinator | 58 | 20 | Mar 2026 |
| National Science Foundation | 34 | — | Aug 2024 |
| General Catalyst | 33 | 14 | Apr 2026 |
| Andreessen Horowitz | 32 | 17 | Nov 2025 |
| DCVC | 24 | 7 | Aug 2025 |
| Insight Partners | 21 | 16 | Nov 2025 |
| 8VC | 18 | 8 | Dec 2025 |
| Khosla Ventures | 17 | 11 | Jan 2026 |
| Bessemer Venture Partners | 15 | 6 | Sep 2025 |
Stage mix · rounds since 2016
Seed & Angel478
Series A–B496
Series C+ / PE154
Grants, debt & other308
The typical round is $4M — half were bigger, half smaller.
The biggest AI in Healthcare funding rounds in the United States
Highlights the largest disclosed round—XtalPi’s $400 million Series D—and lists ten other large recent funding rounds.
| Company | Round | Size | When | Backers |
|---|---|---|---|---|
| Series Dmega-round | $400M | Aug 2021 | Orbimed, 5Y Capital, HSG | |
| Series Cmega-round | $400M | Dec 2018 | Google Ventures, Casdin Capital, BVF Partners +6 more | |
| Series Cmega-round | $400M | Mar 2021 | CPP Investments, Andreessen Horowitz, Casdin Capital +10 more | |
| Series Dmega-round | $372.2M | May 2024 | Andreessen Horowitz, Sanofi, Sequoia Capital +5 more | |
| Series Bmega-round | $370M | Nov 2021 | Flagship Pioneering, ADIA, Alaska Permanent Fund +5 more | |
| Series Cmega-round | $318.8M | Sep 2020 | SoftBank Vision Fund, People's Insurance Company of China, 5Y Capital +11 more | |
| Series Emega-round | $315.9M | Jun 2025 | Andreessen Horowitz, Khosla Ventures | |
| Series Cmega-round | $273M | Sep 2023 | Amgen, Mirae Asset Capital, Pictet Group +7 more | |
| Series Cmega-round | $255M | Jun 2021 | Warburg Pincus, Qiming Venture Partners, Eight Roads Ventures +14 more | |
| Series Dmega-round | $250M | Feb 2025 | Elad Gil, IVP, Bessemer Venture Partners +9 more |
Venture round sizes · 2023–2025
<$1M69
$1–10M119
$10–50M81
$50–250M52
>$250M4
325 venture rounds with a disclosed amount in the window.
Fresh cheques · last 6 months
Series A$21MMay 2026
Series B$17MMay 2026
Seed$6.5MMay 2026
Seed$4.5MMay 2026
Series BundisclosedMay 2026
Series B$100MApr 2026
Series C$27.8MApr 2026
AI in Healthcare jobs in the United States: who is hiring and what they ask for
Aggregates 4,732 job postings from 187 employers in the last year, with median pay $105 k annually and top skill demands including Excel, Python, PowerPoint, Word, and Microsoft Office.
4,732postings · last 12 months
7,640postings tracked overall
187employers advertising
$105kmedian advertised salary/yr (n=362)
Demand
The Skills Employers Ask For
What AI in Healthcare employers in the United States put in their job ads. The bar is how many postings ask for it; the arrow shows whether demand grew or shrank against the year before.
- excel189▲
- python177▲
- powerpoint126▲
- word122▲
- microsoft office113▲
- sap83▲
- outlook81▲
- cgmp67▲
- sql67▲
- aws61▲
What level are these roles?
Entry105
Intern14
Senior802
Lead566
Manager1,054
What they pay, by level
- Manager$140k/yr (n=77)
- Senior$140k/yr (n=34)
Most advertised titles
- 75
- 34
- 30
- 30
- 30
- 29
What AI in Healthcare research in the United States is working on
Covers 634 U.S.-affiliated academic papers, of which 544 discuss opportunities, 15 note cautions, and 14 identify common problems.
How this field talks about itself
United States-affiliated AI in Healthcare papers (gold) against all published research (grey)
Promising50.8% · 37.2%1.4×
Breakthrough35.0% · 26.3%1.3×
Comparative6.5% · 3.8%1.7×
Descriptive3.2% · 17.7%0.2×
Cautionary2.4% · 4.6%0.5×
Problem-identifying1.9% · 9.4%0.2×
United States-affiliated AI in Healthcare literature runs 1.4× more “promising” than science at large (50.8% vs 37.2% baseline).
How the work is done
Methods-led74.1%
Empirical18.6%
Reviews6.3%
Position pieces0.9%
How the research reads
99% positive · 1% neutral · 0% negative, across 634 papers.
The institutions doing the work · United States
- 4k
- 4k
- 3k
- 2k
- 2k
- 2k
ranked by how often their work is cited
Leading researchers · United States-affiliated work
Xiaosong Wang · Le Lu · Yifan Peng · Zhiyong Lu · Mohammadhadi Bagheri · Anant Madabhushi · Metin N. Gürcan · Laura E. Boucheron
The most-cited breakthroughs
- ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases · 3k cites
- A curated mammography data set for use in computer-aided detection and diagnosis research · 761 cites
- Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration · 650 cites
- A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets · 389 cites
- A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies · 257 cites
Common problems researchers identify14 papers · 2 recurring themes
Problems · theme 01
Challenges in Computer‑Aided Diagnosis
7 papers · 50.0% of this block
▼ -13% share2022→2025 share of research on this subject
Researchers highlight limitations of current detection and diagnosis systems for CT colonography and related imaging.
Computer-aided diagnosis · Medical physics
“Evaluation of computer-aided detection and diagnosis systems<sup>a)</sup>”
7 of these papers raise it as a problem
Problems · theme 02
Segmentation and Diagnosis Difficulties
3 papers · 21.4% of this block
▲ +31% share2022→2025 share of research on this subject
Papers point out obstacles in segmenting images and diagnosing pulmonary nodules with existing AI tools.
Segmentation · Computer-aided diagnosis
“How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules”
3 of these papers raise it as a problem
A further 4 papers sit in smaller, scattered themes.
Cautions15 papers · 2 recurring themes
Cautions · theme 01
Safety Concerns in Breast Imaging
8 papers · 53.3% of this block
▲ +4% share2022→2025 share of research on this subject
Authors urge careful validation of CAD performance for digital mammography and breast cancer detection.
Mammography · Breast cancer · Digital mammography · Computer-aided diagnosis
“Computer-aided detection of breast masses depicted on full-field digital mammograms: a performance assessment”
8 of these papers raise it as a problem
Cautions · theme 02
Risks in Colonoscopy CAD Use
4 papers · 26.7% of this block
Studies caution against over‑reliance on AI for colonoscopy interpretation and highlight potential diagnostic gaps.
Colonoscopy · Computer-aided diagnosis
“Computer-aided diagnosis for colonoscopy”
4 of these papers raise it as a problem
A further 3 papers sit in smaller, scattered themes.
Opportunities533 papers · 7 recurring themes
Opportunities · theme 01
Advanced Breast Imaging Techniques
125 papers · 23.5% of this block
▲ +4% share2022→2025 share of research on this subject
Work explores deep‑learning models for mammography, MRI, and ultrasound to improve breast cancer classification.
Mammography · Breast cancer · Pattern recognition · Breast MRI
“Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosi”
Opportunities · theme 02
Radiology Workflow Enhancements
122 papers · 22.9% of this block
▼ -55% share2022→2025 share of research on this subject
Papers propose AI‑driven tools to streamline diagnosis of renal function and other radiology tasks.
Computer-aided diagnosis · Renal function · Radiology · Workflow
“A Computer Aided Diagnosis System in Mammography Using Artificial Neural Networks”
Opportunities · theme 03
Lung Nodule Detection Innovations
100 papers · 18.8% of this block
▼ -12% share2022→2025 share of research on this subject
Research focuses on novel features and networks to boost CT‑based pulmonary nodule classification.
Nodule · Lung cancer · Lung · Computer-aided diagnosis
“Computer‐aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features”
Opportunities · theme 04
General Pattern‑Recognition Advances
94 papers · 17.6% of this block
▲ +7% share2022→2025 share of research on this subject
Studies develop CNN‑based segmentation and feature extraction methods for diverse medical imaging applications.
Pattern recognition · Segmentation · Convolutional neural network · Feature extraction
“Brain Tumor Classification via Statistical Features and Back-Propagation Neural Network”
Opportunities · theme 05
False‑Positive Reduction Strategies
41 papers · 7.7% of this block
▼ -18% share2022→2025 share of research on this subject
Works aim to lower spurious detections in breast and colon imaging through refined algorithms.
False positive paradox · Computer-aided diagnosis · Software · Nodule
“Computer-Aided Tumor Detection Based on Multi-Scale Blob Detection Algorithm in Automated Breast Ultrasound Images”
Opportunities · theme 06
Virtual Colonoscopy Enhancements
26 papers · 4.9% of this block
Papers introduce sophisticated CAD schemes to improve polyp detection in CT colonography.
Virtual colonoscopy · Computer-aided diagnosis · Colonoscopy · Partial volume
“CT colonography: Advanced computer‐aided detection scheme utilizing MTANNs for detection of “missed” polyps in a multicenter clinical trial”
Opportunities · theme 07
Prostate Cancer Imaging Progress
25 papers · 4.7% of this block
▼ -25% share2022→2025 share of research on this subject
Research presents 3D CNN approaches for grading and early diagnosis of prostate lesions.
Prostate cancer · Prostate · Effective diffusion coefficient · Grading
“Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks”
Which of these themes are growing fastest
Tracks the changing share of research themes worldwide from 2022 to 2025.
Problems
how much more (or less) of the world’s research on this subject each theme took up, 2022→2025
gaining sharelosing share
Segmentation and Diagnosis Difficulties▲+31%
Challenges in Computer‑Aided Diagnosis▼-13%
Cautions
how much more (or less) of the world’s research on this subject each theme took up, 2022→2025
gaining sharelosing share
Safety Concerns in Breast Imaging▲+4%
Opportunities
how much more (or less) of the world’s research on this subject each theme took up, 2022→2025
gaining sharelosing share
General Pattern‑Recognition Advances▲+7%
Advanced Breast Imaging Techniques▲+4%
Lung Nodule Detection Innovations▼-12%
False‑Positive Reduction Strategies▼-18%
Prostate Cancer Imaging Progress▼-25%
Radiology Workflow Enhancements▼-55%
Prism
Go deeper on AI in Healthcare research and innovation
Research themes, patent activity and the companies commercialising them, in one place.
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About this data: built from Fliar's company, founder, funding, hiring, jobs and research trackers, covering the United States. Counts are of companies we track, not of every company that exists. Updated August 2026.
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