The infrastructure decisions that shape scientific AI

Closed-loop discovery is often described as a chain of technologies. Its value actually comes from the decisions that connect them.

Begin with the decision

A model can rank thousands of possibilities and still leave a program without direction. The useful starting point is what must be learned, which evidence could change the decision and what uncertainty is worth resolving next.

Technology becomes a platform when every result can meaningfully change what happens next.

Give evidence a memory

Experimental outcomes, negative results, model assumptions and expert judgment all carry context. A functioning discovery system preserves that context so the next cycle is better informed than the last.