Owkin vs Viz.ai

No, Viz.ai has a higher valuation ($1.2B) compared to Owkin ($1B).

Owkin raised $334M while Viz.ai raised $289M.

Owkin has the higher Awaira Score of 69.

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.. Viz.ai: Viz.ai is an artificial intelligence healthcare company founded in 2016 that develops clinical decision support software for medical imaging analysis. The company specializes in AI-powered diagnostic tools that assist radiologists and emergency physicians in identifying acute neurological and cardiovascular conditions from medical imaging scans. Viz.ai's core platform uses deep learning algorithms to detect conditions such as stroke, pulmonary embolism, and aortic dissection, prioritizing urgent cases and flagging them for immediate physician review. The company's primary products include stroke detection software and platforms for identifying other time-critical conditions in emergency departments. Viz.ai operates within the broader clinical AI segment, competing with companies developing similar diagnostic imaging solutions. The platform integrates into existing hospital workflows and imaging infrastructure, providing real-time alerts to clinicians. Viz.ai has achieved significant market validation, with its technology adopted across numerous healthcare systems in the United States. The company raised Series D funding at a $1.2 billion valuation, reflecting investor confidence in the clinical AI market. Total funding reached $289 million across multiple rounds. The company's growth trajectory demonstrates expanded adoption among major hospital networks and healthcare providers seeking to improve diagnostic speed and clinical outcomes for emergency conditions. Viz.ai focuses specifically on time-critical emergency conditions where AI-assisted early detection directly impacts patient outcomes and hospital operations..

Both were founded in 2016.