Insitro logo

Insitro

Emerging

Drug discovery company founded by Daphne Koller integrating ML with high-throughput biology; raised $400M+ to build proprietary biological datasets for predicting drug targets and clinical outcomes in neurology, metabolic, and oncology programs.

Best for: ML Drug DiscoveryEmerging, rapid growth
27
AI Score
Grade D↑ Trending
AI Visibility Score (Beta)
Life Sciences & BioTechML Drug DiscoveryWebsiteUpdated April 2026

Brand Intelligence Graph

Capabilities
ML Drug Discovery

Company Overview

Insitro is a drug discovery company founded in 2018 by Daphne Koller, a pioneer in machine learning and computational biology, having raised over $400M to build an integrated ML and biology platform. The company generates large-scale biological datasets using automated laboratory systems and human induced pluripotent stem cell models of disease, then trains machine learning models on this data to predict drug targets, patient stratification, and clinical outcomes. Unlike companies that apply ML to existing datasets, Insitro builds proprietary biological datasets specifically designed to train predictive models for drug discovery. The platform is being applied to neurological diseases, metabolic disorders, and oncology with the goal of identifying drug candidates more likely to succeed in clinical trials. Insitro has established partnerships with major pharmaceutical companies including Gilead Sciences and Bristol Myers Squibb to co-develop drugs using the platform. The company represents a model for how ML can be deeply integrated into pharmaceutical R&D rather than applied as a surface-level analytical layer.

Founded
2018
Curated content • Fact-checked and verified

Key Differentiators

Emerging Innovator

Insitro is an emerging player bringing innovative solutions to the Biotechnology market.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

27
↑ Trending

Based on estimated brand signals. Historical tracking coming soon.

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