Headquarters
Boston, MAFounded
2016CEO / Founder
Andy BeckEmployees
201-500Funding
Series C — $255MProducts
1 product listedAvg. AI Score
7.9/10Website
www.pathai.comProfile updated
PathAI is a digital pathology and AI company founded in 2016 in Boston by Andy Beck, a Stanford-trained pathologist, and Aditya Khosla. The platform applies deep learning to whole-slide images to support pathologists in diagnostics and biopharma customers in translational research.
PathAI serves more than 50 biopharma customers, academic medical centers, and reference labs. The company operates an in-house pathology lab and offers AISight, an integrated digital pathology platform.
PathAI has raised approximately $255 million from General Catalyst, General Atlantic, and D1 Capital Partners.
All products by PathAI reviewed by our AI panel of experts.
Six independent reviewer personalities assessed PathAI's product on their own terms. They disagreed by 2.4 points — The Finance Lead was the hardest to convince, The Domain Strategist the most positive.
Averaged across 1 reviewed product in our catalog. Scores are out of 10.
Who PathAI competes with, and how they differ.
Paige focuses on FDA-cleared diagnostic AI models for specific cancers (e.g. prostate, breast) sold directly to pathology labs -- a narrower diagnostic-model line than PathAI's combined biopharma biomarker/clinical-trial services and open AISight image-management platform that hosts third-party algorithms.
1 product reviewed on TopReviewedLunit is a Seoul-based, publicly traded (KOSDAQ) company spanning both radiology (chest X-ray and mammography triage) and pathology (Lunit SCOPE biomarker quantification), giving it a broader cross-modality imaging footprint than PathAI's pathology-only focus.
1 product reviewed on TopReviewedProscia's Concentriq platform is primarily an image-management and workflow system that labs and pharma license to run their own or third-party AI algorithms on -- competing with PathAI's AISight IMS layer more directly than with PathAI's own diagnostic and biomarker AI models.
Ibex concentrates on live clinical deployment of cancer-detection algorithms (breast, prostate, gastric) sold directly to pathology labs, with a smaller footprint in the biopharma clinical-trial and companion-diagnostic biomarker work that makes up a larger share of PathAI's business.
Key milestones in PathAI's history, with sources.
Roche agrees to acquire PathAI for up to $1.05B
Roche entered a definitive merger agreement to acquire PathAI for $750 million upfront plus up to $300 million in milestone payments. Subject to closing (expected H2 2026), PathAI becomes part of Roche's Diagnostics division; CEO Andy Beck remains in place through the announcement. The deal builds on the companies' 2021 and 2024 partnerships.
roche.comFDA grants Breakthrough Device Designation to PathAssist Derm
The FDA granted Breakthrough Device Designation to PathAssist Derm, an AI tool assisting pathologists reviewing digital whole-slide images of skin lesions; the tool had been commercially available since February 2025. No PathAssist Derm-specific accuracy figures were published alongside the designation.
medicaldevice-network.comFDA qualifies AIM-MASH AI Assist as first AI-powered pathology drug-development tool
The FDA qualified PathAI's AIM-MASH AI Assist through its Drug Development Tool Biomarker Qualification Program for use in MASH clinical trials (enrollment and endpoint assessment) -- the first AI-powered pathology tool so qualified, following an earlier 2025 EMA CHMP qualification. The supporting validation data was published in a peer-reviewed Nature Medicine (2025) study, per independent trade coverage; PathAI states the tool is not for diagnostic use.
hitconsultant.netFDA clears AISight Dx digital pathology platform for primary diagnosis (K243391)
The FDA granted 510(k) clearance (K243391) to PathAI's AISight Dx image-management platform for primary diagnosis in clinical settings, with an authorized Predetermined Change Control Plan -- the first digital pathology image-management system with PCCP authorization.
accessdata.fda.govExpanded exclusive partnership with Roche Tissue Diagnostics for companion diagnostics
PathAI and Roche Tissue Diagnostics (RTD) expanded their 2021 collaboration: RTD agreed to work with PathAI as its sole external algorithm-development partner for AI-powered companion diagnostics for a pre-specified term, while PathAI retained the right to develop algorithms outside that space.
prnewswire.comCo-founder & CTO Aditya Khosla departs to lead engineering at Iterative Scopes
Aditya Khosla, PathAI's co-founder and CTO since 2016, left to become CTO of Iterative Scopes, a separate Cambridge, MA AI healthcare startup, while remaining a PathAI advisor. Andy Beck continued as CEO.
tissuepathology.comCollaboration announced with Roche for AI-powered companion diagnostics
Roche and PathAI announced a collaboration embedding PathAI's image-analysis algorithms in Roche's NAVIFY Digital Pathology software, initially distributing research-use-only algorithms across multiple cancer types to support companion diagnostics and drug development.
roche.comSeries C -- $165M co-led by D1 Capital Partners and Kaiser Permanente
PathAI closed a $165 million Series C round co-led by D1 Capital Partners and Kaiser Permanente, with participation from General Atlantic, Tiger Global, 8VC and strategic investors including Bristol-Myers Squibb, Labcorp and Merck's Global Health Innovation Fund.
prnewswire.comSeries B -- $60M led by General Atlantic
PathAI closed a $60 million Series B round led by General Atlantic, with continued participation from General Catalyst.
generalatlantic.comSeries A -- $11M led by General Catalyst Partners
PathAI raised an $11 million Series A round led by General Catalyst Partners, with participation from Pillar Companies, Refactor Capital, 8VC, Danhua Capital and KdT Ventures, bringing total funding to about $15M at the time.
tissuepathology.comPathAI founded by Andy Beck and Aditya Khosla
Andrew (Andy) Beck, MD, PhD, and Aditya Khosla, PhD, co-founded PathAI in Massachusetts to apply machine learning to pathology image analysis for diagnostics and drug development.
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