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AminoAnalytica

AI for improved protein production and performance

Biotechs use proteins found in nature, such as enzymes in bacteria or peptides in lizards, in a wide range of applications from chemical manufacturing to therapeutics. However, these naturally occurring proteins aren't optimized for industry. At AminoAnalytica, we specialize in AI-powered protein optimization. Using our proprietary computational tools, we can improve the properties of a target protein sequence, from the stability of therapeutic peptides to the activity of industrial enzymes. When we optimize a protein, it’s not just a theoretical suggestion—we work with labs to ensure that it’s functional, stable, and ready to change the world.
AminoAnalytica
Founded:2024
Team Size:3
Location:San Francisco
Group Partner:Surbhi Sarna

Active Founders

Abhi Rajendran, CEO & Co-founder

Materials Engineer from Imperial College London. I previously worked at the Mercedes Formula 1 Team and now work at the intersection of AI and Protein Design - there's a funny story in there somewhere.
Abhi Rajendran
Abhi Rajendran
AminoAnalytica

Matteo Peluso, Founder

Compute credits are all you need
Matteo Peluso
Matteo Peluso
AminoAnalytica

Adam Wu, CSO & Founder

Materials scientist from Imperial College London. Worked in product design, manufacturing, and industrial labs. Shameless plug: check out 'adwuu' on spotify for a good time

Company Launches

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!