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AminoAnalytica

Your biotech's first AI protein engineer

At AminoAnalytica, we specialize in AI-powered protein optimization. We’re developing the world's first dedicated AI agent for protein engineering (or AI protein engineer, if you will) that integrates with 'human' bioengineering teams. Common protein engineering challenges like protein property enhancement – whether it's the stability of therapeutic peptides or the activity of industrial enzymes at high temperatures – can now be done semi-autonomously, at a fraction of the cost.
Active Founders
Abhi Rajendran
Abhi Rajendran
CEO & Co-founder
Matteo Peluso
Matteo Peluso
Founder
Adam Wu
Adam Wu
CSO & Founder
AminoAnalytica
Founded:2024
Batch:S24
Team Size:2
Status:
Active
Location:San Francisco
Company Launches
🧬 AminoAnalytica – Next generation proteins engineered with *protein* language models
See original launch post

Hey everyone – it’s Abhi Rajendran, Adam Wu and Matteo Peluso

Tl;dr: just look at the pictures ;)

💞 The A(mino) Team

👨🏾 Abhi Rajendran – From Imperial College London to the Mercedes F1 Team, Abhi builds AI tools in data-intensive environments. AminoAnalytica was inspired by his computational bio master’s project and was the top AI x Robotics venture from Imperial in 2024.

👦🏻 Adam Wu – With experience in academic and industry wet labs, Adam is now building his own. He has a background in materials science, tissue engineering and biosensing as a Thermo Fisher Scholar from Imperial.

👱🏼‍♂️ Matteo Peluso – Bioinformatics PhD from the University of Zurich. His skills in biology, machine learning, and software development tie up everything seamlessly.

👨🏻‍🦱 Dr. Stefano Angioletti-Uberti – Senior lecturer at Imperial, specializing in modeling biological and soft matter systems. He ensures models are based on the latest scientific principles.

❌ Problem: better proteins are needed to accelerate global innovation

  • Industrial and pharma companies prefer to use enzymes and peptides over harsh chemicals as they are more specific and sustainable.
  • However, natural proteins often lack stability, efficiency, or specificity for their desired applications leading to poor performance
  • Improving these proteins has been a costly and inefficient 'trial-and-error' process, where biotech companies randomly mutate existing proteins, test them, and repeat until success.

✅ Solution: AminoAnalytica’s protein adaptation platform, powered by PLMs

  • Like how ChatGPT understands human language, our "protein language models" (PLMs) understand biology and can optimize proteins for industrial and therapeutic use.
  • This allows us to perform in-silico protein property prediction, eliminating the need for thousands of lab tests.
  • We’re transforming the traditional ‘trial-and-error’ method into an ultra-high throughput and rational process.

🤝 Any industry working with proteins can benefit from our tech

Currently, we’re working on:

  • Aquaculture feed → enzymes for maximizing fish feed nutritional efficiency
  • Pharmaceuticals → peptide drugs with improved stability and specificity
  • Climate tech → enzymes for eco-friendly carbon capture
  • Consumer goods → safer enzymes for everyday products

🐡 Get in touch with us!

  • Upvote/share this post with your network and help spread the word!
  • If you (or anyone in your network) are as excited as we are about next generation industrial proteins and would like to learn more about what we’re doing, email us here - founders@aminoanalytica.app
  • We’re also looking to expand our advisory board in the areas of aquaculture, fish testing, and feed manufacturing!