Our approach
Our aim is to develop AI systems for connected research problems, rather than isolated tasks.
Designed around scientific questions
A biological question rarely stands alone. It leads to further questions, invites different perspectives, and changes as the evidence develops.
We are interested in how computational tools can contribute to that process and to deeper biological understanding. This is the direction of our work on agentic research systems.
Working principles
Biology comes first.
Start with meaningful scientific questions. Let the biological problem guide the work.
Evaluate with care.
Examine what a system can do, where it falls short, and what the evidence supports.
Make uncertainty clear.
Distinguish an observation from an interpretation, and a promising direction from a demonstrated result.