The power of nature
and quantum computing combined

Menten uses cutting-edge machine learning and quantum computing to design and engineer tailored proteins for diverse applications in pharmaceutical and chemical industries.

Our hybrid quantum-classical computing approach overcomes the scalability challenges that limit classical approaches and significantly reduce the cost and time required to engineer a target protein for use cases in protein therapeutics and biocatalysis.


Rational Peptide Design

We apply cutting-edge computational approaches to rational design to develop next-generation peptide therapeutics with improved chemical and physical properties including extended plasma half-life and permeability.

Enzyme Optimization

We employ a mixed approach of active site optimization, machine learning (sequence model prediction, reinforcement learning, quantum maching learning), and molecular dynamic approaches to pre-screen enzyme sequences and computationally optimize activity, specificity, and stability.


Hans Melo, PhD
CEO & Co-Founder
PhD in Machine Learning & Computational Neuroscience
Triathlete & Ironman
Tamas Gorbe, PhD
CSO & Co-Founder
PhD in Biocatalysis, Protein Engineering & Medicinal Chemistry
Triathlete & Ironman
Vikram Mulligan, PhD
Academic Co-Founder
PhD in Biochemistry
Research Scientist - Flatiron Institute
Susan Tang, MBA
VP Business Development
Master of Business Administration
Food Monster
Patrick Finneran
PhD Candidate in Biochemistry & Biophysics
The Friendly Giant

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Should you be interested in joining our team, please send us your resume and indicate why you want to join us.

Partnership Opportunities and Questions

For partnership opportunities or additional questions, give us a shout by emailing