Spring Science's engine gives AI superpowers to scientific teams, starting with a world-leading high-content image analysis suite.
Spring's software lets scientists train their own AI models to identify complex cell behavior in images, mine high-dimensional data for a clear understanding of complicated biology, drive to conclusions using phenotypic discovery, identify top drugs and targets, elucidate mechanism of action, and more.
Backed by General Catalyst, First Round, Elad Gil, Sam Altman, and more, Spring’s team combines leaders in AI (Google, Freenome, Clarifai, Khan Academy, …) with senior leadership in drug discovery (Pfizer, Novartis, Kodiak, …). Their founder, Ben Kamens, was Khan Academy’s founding engineer/VPE and VPE at Fog Creek Software.
Spring has partnered and licensed its AI engine with R&D teams worldwide, from pharma to biotech to academic groups (Gilead, Merck, Genentech, Broad Institute, UCSF, Google, Nvidia). Spring’s engine has successfully accelerated multiple critical milestones in drug discovery and development (mechanism of action, responder/non-responder analysis, biomarker discovery, high-throughput screening, compound & target discovery, …): see their products and case studies.
As data size and complexity of scientific experiments continue to grow rapidly, Spring's engine represents the future of how we’ll bring to bear cutting-edge artificial intelligence in partnership with human scientific expertise.