Green chemistry's adoption problem is a discovery problem

Abstract: Green chemistry has an adoption problem. The bottleneck isn't policy or price; it's that designed molecules rarely respect the trillions of dollars of industrial equipment they would deploy into, and demand new CAPEX no one will build. ALAi treats drop-in compatibility as a design constraint, not an afterthought, alongside performance, manufacturability, safety, and sustainability. Our closed-loop engine generates against all five lenses, narrows the search with physics-informed AI, validates with an automated wet-lab and COSMO-derived Aspen Plus, and learns from every result. The first molecule out is an amino-acid ionic liquid for refinery CO2 capture, validated against an SMR flue gas digital twin built with SOCAR (~67% CO2, 83% SO2 co-capture, ~40% less regen energy than amines, drop-in for existing columns). Anchor-customer deployment is next. Same loop is now running on water treatment and sustainable additives.