YC startups publishing machine-learning research

Environments and datasets for reinforcement learning.

Interpretable and auditable AI systems and foundation models that humans can reliably debug, trust, and understand.

Research lab working on continual learning: systems that improve from a stream of experience without forgetting what they know.

AI foundation models for RNA for precision oncology.

AI that watches user sessions, finds product friction, and opens fixes.

AI math help that explains each step and adapts when your reasoning breaks.

Steerable and explainable AI

An intelligence science lab.

Collaborative AI that learns across distributed data while keeping sensitive information under its owners’ control.

Reproductive genetic screening and embryo reports, with counseling to explain the findings.