Excelsior Sciences: Automating small molecule chemistry
Deerfield-backed biotech tokenizes artisanal small molecule synthesis, creating machine-readable chemical language
Excelsior is developing an automated small-molecule discovery platform built around standardized chemical building blocks dubbed “smart bloccs,” which can be assembled, tested and iteratively improved using AI.
Excelsior Sciences Inc.’s platform builds on iterative carbon-carbon bond formation, a chemistry developed by co-founder and board member Martin Burke at the University of Illinois Urbana-Champaign. It combines those modular smart bloccs with generative AI, automated synthesis and in vitro assays, translating chemical features into a standardized format for a programmable make-test-learn cycle...