MAUD 1.0
Multi-parametric AI for Unbiased Design of peptide macrocycles
Company profile
Company profile
Menten AI is a biotechnology company pioneering the use of generative artificial intelligence to design cyclic peptide therapeutics for drug targets that lie beyond the reach of traditional small molecules and biologics. The company's proprietary platform, MAUD 1.0 (Multi-parametric AI for Unbiased Design), combines generative AI, physics-based modeling, and quantum simulations to design peptide macrocycles from scratch with atomic precision. Unlike traditional machine learning approaches that require large training datasets, MAUD 1.0 leverages physics-informed reinforcement learning to perform de novo design of cyclic peptides. The platform addresses a critical gap in drug discovery: up to 80% of drug targets, particularly protein-protein interfaces, cannot be effectively targeted by conventional therapeutics. Peptide macrocycles occupy a unique therapeutic space between small molecules and biologics, offering advantages such as high selectivity, low toxicity, and the ability to bind protein-protein interfaces. MAUD 1.0 has demonstrated the ability to design peptides with nanomolar-level potency, oral bioavailability exceeding 18%, cell permeability, and hit rates above 90%. Menten AI partners with top-10 pharmaceutical companies and is backed by leading venture capital firms. The company's technology enables multiple applications including oral peptides, cell-permeable peptides for intracellular targets, molecular glues, bi-specifics, and computational optimization. Their approach accelerates the preclinical discovery pipeline by designing and optimizing drug-like peptides more efficiently than traditional screening methods, expanding the accessible chemical space for therapeutic development.
Company description Menten AI official website
Claim this profile to manage Company information and connect with the Health AI Central audience.
01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas deployment with recorded integration context.
Company milestones
MAUD 1.0 platform validated and operational with top-10 pharma partnerships established. Multiple scientific publications in 2024-2026 demonstrating platform capabilities.
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Multi-parametric AI for Unbiased Design of peptide macrocycles
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Journal of immunological methods · May 1, 2024
Allele-specific activation, enzyme kinetics, and inhibitor sensitivities of EGFR exon 19 deletion mutations in lung cancer.Proceedings of the National Academy of Sciences of the United States of America · Jul 26, 2022
Error rate reduction of single-qubit gates via noise-aware decomposition into native gates.Scientific reports · Apr 16, 2022
Ancestral Sequence Reconstruction and Alternate Amino Acid States Guide Protein Library Design for Directed Evolution.Methods in molecular biology (Clifton, N.J.) · Jan 1, 2022
XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers.PLoS computational biology · Sep 1, 2021
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Peptide binding affinity
Drug delivery
Cellular uptake
Design success rate
Target specificity
Drug metabolism and pharmacokinetics
Research collaboration leveraging Menten AI's generative AI platform to accelerate the design and optimization of peptide macrocycles
Completion of research collaboration announced
05 · Leadership
Leadership profiles and professional links from the current Company record.
Hans Melo
CEO & Co-Founder
Vikram Mulligan
Academic Co-Founder
Andrea McNeal
VP of Business Development
Christy H. Wellman
Part-Time CFO
Patrick Finneran
Associate Director, Platform Development
Simona Shimonov
Alliances Manager
Stephan Kudlacek
Associate Director, Protein Design
06 · Company updates
Recent articles published on Menten AI's official website.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
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.
Explore the full market directory or compare this Company with additional active profiles.
View all Companies in this market10 · Pro research
Expanded Company research is in development.
Health AI Central Pro · Coming Soon
Pro Research will introduce expanded technical context, linked evidence analysis, and comparative Company research.
Linked research, clinical, and regulatory source pathways.
Expanded product, deployment, integration, and partnership research.
Record-level provenance and review context.