Capabilities
AI-guided design
Explore on screen, synthesise what matters. Our approach is to explore sequence variants and modifications computationally first, and to send only the most promising candidates to synthesis.
Peptide design has many levers: the sequence itself, its length, single substitutions, cyclisation, terminal groups and other modifications. Each change can shift purity and stability. Trying every option in the laboratory is slow and expensive.
We are building tools that use the data from earlier rounds to compare options on screen, together with partners who bring the scientific question.
How a design round works
It starts with a question from a partner or from our own work: a sequence to improve, a modification to evaluate, a stability problem to understand. Candidate variants are then compared computationally, using what earlier measurements tell us. Only a short list goes to synthesis.
Together with partners
Design works best close to the people who know the scientific goal. We aim to work side by side with research groups and synthesis partners: they bring the question and the laboratory, we bring the data and the models we are building.
Every round teaches the next
Each synthesised variant is measured by an independent laboratory, and the results go back into the data. Our aim is that every design round starts better informed than the one before.
Frequently asked questions
Anything else you would like to know? Talk to us
Our focus is on variants of known sequences and their modifications, for example substitutions, length, cyclisation or terminal groups. We are building this capability step by step, together with partners.
No. Computational design narrows down the options. Synthesis and independent measurement decide.
Tell us about your question and the data you already have. If there is a fit, we set up a first conversation.