Primer is an AI research company. We are developing AI that can continue learning after training: acquiring new knowledge from experience, retaining it, and applying it to problems it has never seen.

We work like a laboratory, not a product company. Capabilities are claimed only after they are measured, protocols are frozen before experiments run, and negative results are kept alongside positive ones.

Today’s most capable AI systems stop improving the moment training ends. Everything they will ever know has to be present before deployment.

A system that keeps learning changes what AI can be used for: tools that adapt to a new domain, retain institutional knowledge, and grow more useful with time instead of going stale.

That is the capability Primer exists to build — carefully, measurably, and in the open about what has and hasn’t been demonstrated.