
8 companies · 3 sourced backers · 53 milestones on record
AI drug discovery uses machine learning, biological data and molecular modelling to identify and design potential medicines, including therapeutic proteins. Companies are trying to turn computer predictions and automated experiments into a repeatable discovery process that produces safe, effective treatments with demonstrated benefits for patients.
Where the 8 companies stand today, from their profiles and 10-year milestones. Tap a phase to see who is there.
Publicly listed: 5 companies (owned by public shareholders).
To use generative AI to design useful therapeutic proteins.
Lab · publicly listed
To use deep learning to design molecules that can become medicines.
Lab
To use AI and molecular modelling to design better drug candidates.
Lab · publicly listed
To use machine learning and biological data to discover medicines more systematically.
Trials
To make drug discovery a repeatable, data-driven process using automated biological experiments and AI.
Trials · publicly listed
To use understanding of protein motion to design more effective drug candidates.
Trials · publicly listed
Full success would mean its physics-based and AI computational platform routinely producing approved drugs and advanced materials, proving that molecules can…
Some users · publicly listed
To use AI as a foundation for discovering and developing medicines.
Lab
Keep following breakthroughs like these. Every Monday, get up to 5 major breakthroughs and launches explained in plain English.
Free. No account needed. One email a week. Unsubscribe anytime.