A defensible ranked cutoff, not a 10,000-row CSV.
A discovery scientist has a target. The platform pulls every related PDB entry and every computed model, detects the binding sites, and ranks the cavities by their physico-chemical similarity to a known ligand pocket. Ten candidates, scored with real statistics, with the structural rationale attached, not ten thousand. Got more wet-lab capacity? Push the cutoff out. The next hundred are exactly the kind of non-obvious hits sequence homology never surfaces, the ones that turn into your next patent or your next FTO position.
A protein engineer has a reaction. The platform searches the cavitome for sites that match the geometry and physico-chemical properties the reaction needs, returns enzymes from folds you’d never have queried by sequence, and lets you mutate the best ones in silico before a single tube leaves the freezer.
An IP team has a question. Every hit cites a UUID, a scoring formula, a property breakdown and an audit-logged run. The report lands as a branded PDF with your logo on top. Defensible by construction.
Net effect: success rates go up because the candidates you advance are the ones the structural evidence actually supports, and your lab capacity goes to the experiments most likely to work.