Chai-2
AI-powered de novo protein and antibody design platform for drug discovery
Company profile
Company profile
Chai Discovery is an AI-driven drug discovery company that develops frontier models and computational tools to predict and reprogram interactions between molecules. The company's mission is to transform biology from a scientific practice into an engineering discipline, enabling rational drug design where therapeutic candidates can be generated computationally and ready for IND-enabling studies. Their flagship technology, Chai-2, represents a breakthrough in de novo antibody design, capable of designing full-length, drug-like monoclonal antibodies (mAbs) with atomic precision. The platform achieves double-digit success rates for antibodies and over 50% success rates for miniproteins, allowing researchers to bypass traditional high-throughput screening. Chai-2 can target challenging proteins including GPCRs and membrane proteins, design for specific epitopes, handle post-translational modifications, and control for species specificity. The company has established major partnerships with leading pharmaceutical companies including Eli Lilly and Pfizer. Chai Discovery's technology addresses traditionally "hard to drug" targets and has demonstrated sub-angstrom level structural accuracy validated through cryo-EM studies. The company serves pharmaceutical companies, biotechnology firms, and academic researchers working on biologics discovery and therapeutic development.
Company description Chai Discovery official website
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01 · Operating footprint
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Company milestones
$130M Series B at $1.3B valuation (Dec 2025), collaboration with Eli Lilly (Jan 2026), license agreement with Pfizer (Jun 2026), partnership with Lilly TuneLab (Jun 2026), Chai-2 antibody design capabilities announced (Nov 2025)
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02 · Flagship portfolio
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AI-powered de novo protein and antibody design platform for drug discovery
03 · Research intelligence
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Research
Science (New York, N.Y.) · Jul 17, 2025
Clinical validation
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Regulatory
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04 · Company-reported outcomes
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Double-digit hit rates for therapeutic antibody candidates
Extremely high success rates bypassing screening requirements
86% of designs showed zero or one flagged developability issue
Structural prediction accuracy validated by cryo-EM
Faster experimentation cycles avoiding high-throughput screening
Partnership to offer Chai Discovery's AI models to select biotechs through TuneLab platform
TuneLab crossed 100-member mark
License agreement to accelerate drug discovery with AI
Collaboration to accelerate biologics discovery using Chai Discovery's AI capabilities
05 · Leadership
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06 · Company updates
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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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