biotalent.ai reviewed the University of Chicago protein-engineering ecosystem spanning computational design, binder selection, structural biology, monobodies, and company translation.

We’ve built an intelligence platform for the life sciences industry: a continuously updated database of companies, opportunities, and professionals, combined with models that understand how the industry is evolving. Our graph maps companies, teams, technologies, employees, and career paths, then uses that context to identify unusually strong matches between professionals and opportunities—putting data science behind recruiting to connect people with roles that genuinely fit their experience and career goals.