Building the Data Foundation for AI-Native Small Molecule R&D
Most small molecule research teams document reactions in systems that treat each experiment as an isolated record: known by the scientist who ran it, but largely invisible to the rest of the organization. This session examines what becomes possible when reaction data is structured at the source. It becomes a searchable asset across teams that accelerates reaction planning, reduces redundant experiments and simplifies report preparation.
Join Benchling's Pamela Nasr, Product Manager of Chemistry, and Zachary Reinert, Solutions Consultant, as we explore how structured reaction capture creates the data foundation modern drug discovery demands. We'll also examine how connecting chemistry and biology workflows on a shared platform enables cross-modality programs, and what it means to build an AI-ready data layer starting today.
Understand why isolated reaction records limit scientific reuse and what structured data capture enables across research teams, computational workflows, and AI-assisted discovery
Learn how connecting chemistry and biology on a shared platform accelerates cross-modality programs such as antibody-drug conjugates and hybrid therapeutics
Identify practical steps R&D teams can take now to build an AI-ready chemistry data foundation before data silos compound
