
Chai Discovery is a company focused on transforming biology into engineering through AI foundation models. Their primary product, Chai-1, is a multi-modal foundation model for molecular structure prediction, excelling across various drug discovery tasks. Chai-1 offers unified prediction for proteins, small molecules, DNA, RNA, and covalent modifications. It achieves state-of-the-art performance, outperforming models like AlphaFold3 on benchmarks such as PoseBusters and CASP15. A key differentiator is Chai-1's ability to predict multimer structures with high accuracy using single sequences without the need for multiple sequence alignments (MSAs). The model is accessible via a web interface and as a software library under an Apache 2.0 License, supporting commercial applications including drug discovery. The team consists of experienced researchers from leading AI and biotech companies, aiming to build further models for predicting and reprogramming biochemical interactions.

Chai Discovery is a company focused on transforming biology into engineering through AI foundation models. Their primary product, Chai-1, is a multi-modal foundation model for molecular structure prediction, excelling across various drug discovery tasks. Chai-1 offers unified prediction for proteins, small molecules, DNA, RNA, and covalent modifications. It achieves state-of-the-art performance, outperforming models like AlphaFold3 on benchmarks such as PoseBusters and CASP15. A key differentiator is Chai-1's ability to predict multimer structures with high accuracy using single sequences without the need for multiple sequence alignments (MSAs). The model is accessible via a web interface and as a software library under an Apache 2.0 License, supporting commercial applications including drug discovery. The team consists of experienced researchers from leading AI and biotech companies, aiming to build further models for predicting and reprogramming biochemical interactions.
Founded: 2024
Headquarters: San Francisco, CA
Product focus: Multimodal AI foundation models for molecular structure prediction (Chai-1, Chai-2)
Notable capability: Predicts multimer structures from single sequences without MSAs
License & access: Web interface and Apache 2.0–licensed software library
$130M Series B (reported) at $1.3B valuation
AI-driven computational biology and drug discovery (molecular structure prediction and design).
2024
Biotechnology / Computational Biology
~$30M (reported)
~$70M (reported)
$130M (reported)
Reported valuation of $1.3B
“Participation from prominent investors including Thrive Capital, the OpenAI Startup Fund, Menlo Ventures, General Catalyst, and Oak HC/FT (reported)”