A team of AI agents runs your design–test–learn loop, records every outcome — even the failures — and gets sharper with every experiment.
Generators, predictors, docking, simulation, and learned metrics — all callable through a single traced interface.
Small predictors trained on your own measurements — the metric that matters improves every round.
Cheap gates cut most candidates before expensive tools ever run.
Each candidate traces back to the model, prompt, and data that made it.