ideas

AI drug and materials models can now propose thousands of promising molecules before lunch. Actually making those molecules is still slow. Most biotech and materials teams wait weeks for custom compounds to ship from overseas synthesis houses, or burn their own chemists’ time running routine reactions by hand.

Someone should build a US-based SendCutSend for chemistry. A scientist or an AI agent submits a molecular structure over an API, gets an instant quote against stocked building blocks and a fixed menu of standard reactions, and receives a purified, verified vial a few days later. When making a new molecule gets fast and predictable, teams can test ten times as many ideas in the real world.

Cool companies in this space:

• Onepot AI (automated on-demand small-molecule synthesis)
• Enamine (make-on-demand chemical catalogs at massive scale)
• Chemify (robotic synthesis and digital chemistry)
• Adaptyv Bio (API-driven protein testing and validation)
• SendCutSend (the instant-quote manufacturing playbook in sheet metal)