An AI platform that instantly decomposes any target molecule into ranked synthesis routes - factoring in live inventory, vendor cost, and yield data - so chemists decide faster and procure smarter.
Manual route scouting is time-intensive and often disconnected from inventory, cost, and historical reaction knowledge. Four challenges compound the problem.
The platform generates, scores, and ranks synthesis routes end to end, from molecule input to chemist decision.
Chemists enter a molecule via SMILES, InChI, IUPAC name, CAS number, or a structural drawing.
A retro synthesis engine generates multi-step routes while pre-fetching yield data and literature precedent in parallel.
Routes are ranked by yield probability, material cost, step count, cycle time, and inventory utilization.
The top-ranked routes are shown in an interactive synthesis tree with comparison charts, AI-generated rationale, an done-click export for further work.
Process chemists and R&D teams who need to evaluate synthesis routes for new or existing molecules quickly and consistently.
No. The platform generates and ranks candidate routes with supporting rationale; chemists review the options and make the final route decision.
A ranked shortlist of synthesis routes, each scored on yield probability, cost, step count, and inventory availability, with an AI-generated rationale for each.
The platform queries internal inventory alongside external reaction and vendor data, so recommended routes can favor reagents already on hand.
