ChemML
AI platform for small molecule drug discovery integrating proprietary binding and functional assays
Company profile
Making Medicines Differently
Company profile
insitro is an AI therapeutics company that is redefining drug discovery and development by combining massive-scale cellular experiments with population-scale genetics. The company has built the Virtual Human™, a genetically anchored, causal AI engine built on the world's largest integrated multimodal corpus of human clinical and cellular data. This platform reveals how disease begins, progresses, and can be resolved by precisely identifying causal disease targets prior to candidate optimization. insitro's TherML™ is a modality-agnostic, AI-driven therapeutics design engine spanning small molecules, oligonucleotides, and complex biologics. By matching the best-fit modality to each target and indication, TherML shifts drug discovery from stochastic screening to predictive, adaptive engineering. The company has built a unique culture where life scientists, data scientists, engineers, and drug hunters work together to identify the most important questions, design and scale experiments, build models, and analyze results. insitro's approach integrates human data to understand which biological changes matter for disease with cellular data to determine what causes those changes, using AI to identify mechanisms consistent at both scales. The company is advancing multiple therapeutic programs including MASH, ALS, and metabolic diseases through strategic collaborations with major pharmaceutical companies.
Company description insitro official website
Mission. At insitro, we are building a different kind of drug company to bring better drugs faster to the patients who can benefit most. Through the power of machine learning (ML) and data at scale, we decode the complexities of biology to unlock transformative new medicines.
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
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Company milestones
Acquired CombinAbleAI to complete full-stack modality-agnostic AI platform (TherML). Received $25M milestone payments from Bristol Myers Squibb for ALS target discovery. Completed first AI-enabled human genetics study of brown adipose tissue. Extended collaborations with Bristol Myers Squibb and Eli Lilly. Nominated new ALS targets. Presented MASH data at ADA 2026.
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
AI platform for small molecule drug discovery integrating proprietary binding and functional assays
AI/ML platform integrating cellular and clinical data to redefine disease and accelerate drug discovery
Pooled CRISPR screening platform with self-supervised deep learning for gene function inference
Full-stack, modality-agnostic AI platform for drug discovery and design across all major drug modalities
Genetically anchored, causal AI engine revealing disease mechanisms and identifying causal disease targets
AI-driven platform for identifying key biological drivers and disease-modifying therapeutic targets
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
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Research
No linked records are currently available.
Clinical validation
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Regulatory
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04 · Company-reported outcomes
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BAT-01 knockdown in preclinical models through peripheral adipose beiging, preserving lean mass
AI-discovered MASH candidate in preclinical studies
Building AI models to predict in vivo pharmacokinetic properties of small molecules and advance metabolic disease treatments
Advanced machine learning models for small molecule in vivo PK behavior prediction now available in Lilly TuneLab
Discovery of novel ALS targets and advancement to next-generation therapies using insitro's AI platforms
$25 million in milestone payments received for achievement of discovery milestones and selection of first novel genetic target for ALS
Collaboration to expand research in neurodegeneration using world's largest bioresource of eye images as basis for AI foundation model
Access to world's largest bioresource of eye images to boost drug discovery
05 · Leadership
Leadership profiles and professional links from the current Company record.
Daphne Koller
Founder and CEO
Stephen Meadows
Associate Director, Administration | Executive Assistant to the CEO
Casey Chance
Staff Software Engineer
Eddie Ray Watts
Vice President of High-Throughput Chemistry
Heiko Runz
Vice President for Neuroscience/Genetics
Nan Zhang
Head of Biometrics
06 · Company updates
Recent articles published on insitro's official website.
07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.
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