
Menten AI designs peptide therapeutics that address targets beyond the reach of small molecules and biologics. The company uses a proprietary platform (MAUD 1.0) that combines generative AI, machine learning, physics-based methods, and quantum computing to generate and evaluate peptide macrocycles with drug-like properties. Menten focuses on cyclic peptides and macrocycles to improve oral bioavailability and cell permeability for challenging targets. The platform has demonstrated large increases in sampling power and a high hit rate across validated targets, including an anti-viral peptide, and is applied in partnerships with pharmaceutical and biotech developers.

Menten AI designs peptide therapeutics that address targets beyond the reach of small molecules and biologics. The company uses a proprietary platform (MAUD 1.0) that combines generative AI, machine learning, physics-based methods, and quantum computing to generate and evaluate peptide macrocycles with drug-like properties. Menten focuses on cyclic peptides and macrocycles to improve oral bioavailability and cell permeability for challenging targets. The platform has demonstrated large increases in sampling power and a high hit rate across validated targets, including an anti-viral peptide, and is applied in partnerships with pharmaceutical and biotech developers.
Modality: Cyclic peptide (macrocycle) therapeutics
Platform: MAUD 1.0 — generative AI + physics-based modeling + quantum-informed methods
Founded: 2020
Industry: Biotechnology
Reported total funding: ≈ $4.0M (seed)
Drug discovery for challenging targets using computational design of peptide therapeutics
2020
Biotechnology
4000000
Seed round reported with participation from Uncork Capital, Khosla Ventures, Social Impact Capital, and Y Combinator
5000
Recorded total funding update to reach reported aggregate amount
“Backed by early-stage venture investors including Uncork Capital, Khosla Ventures, Social Impact Capital, Y Combinator; other named investors include FoundersX Ventures and Creative Destruction Lab”