AI for metabolic health
January AI was founded in 2017 in Menlo Park by tech executive and philanthropist Noosheen Hashemi and Dr. Michael Snyder, chair of genetics at Stanford. The company built its models on one of the richest multi-omic datasets in metabolic health, learning how thousands of individuals' glucose responds to specific foods, and can now predict a person's blood-sugar response to millions of foods — without requiring a continuous glucose monitor.
From consumer app to health platform
The January app lets users photo-log meals, see predicted glucose curves before they eat, and get personalized nutrition guidance; it is listed in the CMS Medicare App Library. For businesses, January offers Lifestyle Intelligence APIs — photo-based food logging, glucose prediction, and nutrition guidance as embeddable services — plus a Health Context Engine that unifies clinical records, labs, medications, wearables, and nutrition data to surface risks for clinicians.
Funding
January AI announced $21 million in funding in February 2021 led by Felicis Ventures, with participation from HAND Capital, Marc Benioff, AME Cloud Ventures, and SignalFire, following earlier backing that included an $8.8M round. Angels include Marissa Mayer and YouTube co-founder Steve Chen.