83 Sciences

Researchers in academia and industry generate large volumes of experimental data in the lab, but the page states that 85% of experimental data is discarded, resulting in an estimated $100B+ of lost R&D value each year. Failed or unpublished experiments are left in the drawer instead of being captured, structured, or reused, which slows down the path to new materials, publications, patents, and commercialization. Industry teams trying to bring new materials to market and academic teams trying to produce papers and find commercialization opportunities both lose value from this unused data.

83 Sciences provides a platform that captures and structures experimental data, from voice notes to instrument output, so it is no longer lost or discarded. This data feeds into what the company calls a 'scientific brain,' a structured, queryable agentic record of every experiment that understands failures and proposes optimized process conditions. From there, the company says it moves partners toward concrete outcomes: publications, patents, scale-up, and industry-academia partnerships. The company cites a timeline of six weeks from receiving a partner's data to discovering a first new material, and offers a platform called Dalton. It works across priority verticals including critical minerals and metals, energy storage, catalysis and chemicals, life sciences, solid forms, and semiconductors.