Verily Life Sciences — Stock, Pipeline & Market Cap

Is this your company? Claim your profile to update info and connect with investors.

Private Company

Funding information not available

Overview

Verily Life Sciences, founded in 2015 and headquartered in South San Francisco, is a precision health technology company spun out from Alphabet. Its strategy centers on its flagship 'Verily Pre' platform, an AI-native operating system designed to harmonize, analyze, and activate diverse health data for research and care delivery. Recent milestones include a $300M funding round in March 2026 to accelerate its AI strategy, the launch of a consumer-facing app (Verily Me), and strategic collaborations with industry leaders like Samsung, NVIDIA, and major health systems. The company is positioning itself as a central data and analytics layer in the evolving digital health ecosystem.

Digital HealthAI / Machine LearningDiagnostics

Technology Platform

Verily Pre, an AI-native platform for precision health. It includes components for data harmonization (Refinery), analysis and modeling (Workbench), data discovery (Exchange), and real-world evidence generation (Viewpoint Evidence).

Opportunities

The massive and growing need to integrate and analyze complex, siloed health data from genomics, wearables, and clinical records creates a huge market for Verily's AI-native platform.

Strategic collaborations with device makers (Samsung), tech leaders (NVIDIA), and health systems provide channels for rapid deployment and validation.

Risk Factors

Intense competition from large cloud providers and specialized health analytics firms poses significant market risks.

The business is highly sensitive to data privacy regulations and any breach or misuse of health data could severely damage trust.

Platform adoption is not guaranteed and relies on demonstrating clear superiority over existing research and clinical workflows.

Competitive Landscape

Verily competes in the health data and analytics platform space against large cloud infrastructure providers (AWS HealthLake, Google Cloud Healthcare API, Microsoft Azure Health Data Services), clinical research organizations (IQVIA, Medidata), and EHR vendors building analytics tools. Its differentiation lies in its integrated, AI-native approach specifically designed for precision health research from the ground up.

More companies in AI / Machine Learning →More companies in United States →