AI Proteins

AI Proteins

Is this your company? Claim your profile to update info and connect with investors.
Claim profile

Private Company

Total funding raised: $22.8M

Overview

AI Proteins is an early-stage biotech leveraging a proprietary AI-driven platform to design novel miniprotein therapeutics from scratch. The company's closed-loop engine integrates generative AI design, automated synthesis, and lab validation to rapidly create and optimize drug candidates with desired properties like high stability, low immunogenicity, and precise targeting. With a pipeline targeting over 150 drug targets and a significant partnership with Bristol Myers Squibb, AI Proteins is positioning itself at the forefront of next-generation biologic drug discovery.

Immunology & InflammationOncologyMetabolic

Technology Platform

Closed-loop AI platform for de novo miniprotein design. Integrates generative AI for molecule creation, automated robotics for synthesis, high-throughput lab validation, and an AI-directed mutagenesis engine (AWESSM) for iterative optimization.

Funding History

2
Total raised:$22.8M
Series A$18M
Seed$4.8M

Opportunities

The company has the opportunity to create a new class of best-in-class biologics that are more precise, stable, and manufacturable than traditional antibodies.
Its platform can potentially drug historically 'undruggable' targets and create novel multi-specific constructs, opening vast new therapeutic areas.
The significant partnership with BMS provides validation and capital to scale.

Risk Factors

Key risks include the unproven clinical translation of de novo designed miniproteins, facing potential safety or efficacy failures.
The company operates in an intensely competitive landscape of AI-driven drug discovery.
As a young firm, it also carries execution risk in scaling from a platform to a clinical-stage drug developer.

Competitive Landscape

AI Proteins competes in the rapidly growing field of AI-driven drug discovery. Direct competitors include companies like Generate Biomedicines, Absci, and Recursion, which also use AI to design novel protein therapeutics, though often with different scaffolds or approaches. It also competes with traditional protein engineering firms and the internal R&D efforts of large biopharma companies investing heavily in computational biology.