PathAI vs Owkin
Side-by-side comparison
Overall Winner: Owkin (Score: 69)
P
PathAI
🇺🇸 Andy Beck
62
O
Owkin
🇫🇷 Thomas Clozel
69
| Metric | PathAI | Owkin |
|---|---|---|
| Valuation | N/A | $1B |
| Total Funding | $255M | $334MWinner |
| Founded | 2016 | 2016 |
| Stage | Series C | Series B |
| Employees | 300 | 450 |
| Country | USA | France |
| Category | AI Healthcare | AI Healthcare |
| Awaira Score | 62 | 69Winner |
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Frequently Asked Questions
Is PathAI bigger than Owkin?▾
No, Owkin has a higher valuation ($1B) compared to PathAI (N/A).
Which company raised more funding — PathAI or Owkin?▾
PathAI raised $255M while Owkin raised $334M.
Which company has a higher Awaira Score?▾
Owkin has the higher Awaira Score of 69.
What does PathAI do vs Owkin?▾
PathAI: PathAI is an AI healthcare company founded in 2016 that develops digital pathology solutions and AI-powered diagnostic tools for pathology labs and healthcare institutions. The company specializes in machine learning algorithms designed to assist pathologists in analyzing tissue samples and identifying diseases, particularly cancer. PathAI's core technology platform leverages deep learning and computer vision to process histopathology images, enhancing diagnostic accuracy and workflow efficiency.
The company's primary offering includes software that integrates with existing laboratory information systems, enabling pathologists to use AI-assisted analysis for specimen evaluation. PathAI has developed partnerships with major healthcare systems and diagnostic laboratories, demonstrating clinical utility in oncology and other pathology specialties. The platform addresses critical challenges in pathology including diagnostic consistency, workload management, and access to specialized expertise in underserved regions.
PathAI has raised $255 million in total funding as of its Series C stage, with valuation not disclosed. The company operates in the competitive digital pathology and AI diagnostics space, alongside competitors offering similar computational pathology solutions. The digital pathology market is experiencing significant growth driven by increasing diagnostic demands, laboratory automation trends, and regulatory acceptance of AI-assisted tools. PathAI's trajectory reflects broader momentum in AI-enabled healthcare diagnostics and precision medicine applications. PathAI combines deep learning with pathology workflows to create clinically integrated AI tools that assist rather than replace human pathologists.. Owkin: Owkin is a French AI healthcare company founded in 2016 that develops federated learning and privacy-preserving machine learning technologies for drug discovery and clinical research. The company operates a distributed AI platform enabling pharmaceutical companies, biotech firms, and research institutions to collaborate on data analysis without sharing sensitive patient information or proprietary datasets. Owkin's core technology utilizes federated learning, allowing multiple parties to train machine learning models collectively while maintaining data privacy and regulatory compliance, particularly under GDPR and HIPAA frameworks.
The company has raised $334 million in total funding and achieved a $1.0 billion valuation, positioning it as a significant player in the intersection of AI, privacy-tech, and healthcare. Owkin operates in the Series B stage and serves pharmaceutical companies seeking to accelerate drug development through collaborative AI while preserving data confidentiality. The platform addresses a critical challenge in healthcare AI: enabling large-scale machine learning without centralizing sensitive medical data. Owkin's approach contrasts with traditional cloud-based analytics solutions by maintaining data sovereignty at source institutions. The company has established partnerships across the pharmaceutical and research sectors, though specific customer names and financial metrics remain Not disclosed. Its growth trajectory reflects expanding demand for privacy-preserving AI solutions in highly regulated healthcare markets. Owkin combines federated learning with healthcare applications, enabling collaborative AI research without compromising data privacy or regulatory compliance across distributed pharmaceutical ecosystems..
Which company was founded first?▾
Both were founded in 2016.