AI/ML-driven Discovery
Machine Learning to Unravel Biology and Redefine Disease
We generate multi-modal phenotypic cellular data in our automated laboratories and aggregate clinical data from human cohorts. We use these data to fuel machine learning and generative AI to build and interrogate phenotypic models of disease state. We leverage human genetics to identify causal intervention points in disease and turn them into effective therapeutic interventions in the right patients.
We generate multi-modal phenotypic cellular data in our automated laboratories and aggregate clinical data from human cohorts. We use these data to fuel machine learning and generative AI to build and interrogate phenotypic models of disease state. We leverage human genetics to identify causal intervention points in disease and turn them into effective therapeutic interventions in the right patients.
Predictions for Better Medicine
Targeting Causal Biology for Impact Across the Value Chain
We are building platforms that derisk and accelerate multiple steps in the research and development value chain, with the goal of bringing better drugs faster to the patients who need them.
We are building platforms that derisk and accelerate multiple steps in the research and development value chain, with the goal of bringing better drugs faster to the patients who need them.
The Right Targets in the Right Patients.
Better Drugs, Faster – No Matter the Modality.
Effective and Efficient Clinical Trials.
Platform Approach
Robust, Reusable, Automated Technology Stack for Better Decisions
Our platform is built from the ground up to produce a pipeline of high-quality therapeutic interventions. Its modular components allow us to generate and acquire an ever growing torrent of data. Machine learning transforms these into actionable datasets that empower our analysis engine to support better decision making and produce high quality insights that drive our target and drug discovery efforts.
Our platform is built from the ground up to produce a pipeline of high-quality therapeutic interventions. Its modular components allow us to generate and acquire an ever growing torrent of data. Machine learning transforms these into actionable datasets that empower our analysis engine to support better decision making and produce high quality insights that drive our target and drug discovery efforts.
Pipeline Preview
Bringing Better Drugs Faster to Patients Who Benefit the Most
insitro’s platform’s novel, high-conviction insights lead to drug discovery across multiple therapeutic areas.
Our unified data architecture storage allows us to iterate, improve, and robustify our methods and models over time – increasing the quality and productivity of insights in existing disease indications and helping us expand into adjacent indications.
The result? A value-rich pipeline, driving the development of both in-house and partnered drug discovery programs.
insitro’s platform’s novel, high-conviction insights lead to drug discovery across multiple therapeutic areas.
Our unified data architecture storage allows us to iterate, improve, and robustify our methods and models over time – increasing the quality and productivity of insights in existing disease indications and helping us expand into adjacent indications.
The result? A value-rich pipeline, driving the development of both in-house and partnered drug discovery programs.
