Industry practice

Compress discovery from years to weeks — inside the guardrails

AI now sits at the centre of the discovery pipeline: protein-structure and interaction models let teams reason about targets in hours, generative models propose candidate molecules and antibodies, ML-optimised CRISPR guides cut off-target edits, and self-driving labs run thousands of experiments a day. We train discovery-stage biotech, genomics and synthetic-bio teams to use these systems rigorously — with validation discipline and a regulatory-ready posture.