An integrated discovery engine that pairs a first-of-its-kind optogenetic screening platform with novel chemistry tools and machine learning. Light-controlled activation of cellular stress and aging pathways generates high-throughput, high-fidelity datasets; AI models trained on those datasets propose molecules, which are then validated experimentally and fed back into the platform.

• ·Optogenetic control of biological pathways with millisecond and micron resolution
• ·Proprietary aging datasets across cellular and whole-organism models
• ·Machine learning models that propose and rank drug hypotheses
• ·Novel chemistry tooling for small-molecule optimization