Elman is an autonomous scientific discovery engine. We reason over a compounding knowledge graph of experimental facts to produce testable mechanistic hypotheses — from raw biological data to candidate intervention points, with every finding traced to the experiment that produced it.
Every finding is anchored to a specific experimental arm in a specific paper or in-silico run — never to a model's parametric memory. Auditable down to the figure.
The reasoning agent chases specific questions through the graph one edge at a time, surfacing low-magnitude but statistically significant signal where the tractable biology lives.
A single schema across literature, in-silico and wet-lab evidence. Every result sharpens the substrate every future run consumes — across indications, not just within one.
Indication-agnostic by design.