In 2014, three researchers - Alok Tayi, Salvatore Savo, and Siping Wang - were working across Harvard and MIT when they recognized a fundamental problem plaguing scientific research. While conducting experiments, they watched brilliant scientists waste countless hours manually copying data from instruments into spreadsheets and lab notebooks, struggling with fragmented systems that couldn't communicate with each other. They realized that the same technological revolution transforming other industries had completely bypassed the laboratory, creating a data crisis that was slowing down life-saving discoveries and drug development.
So they built TetraScience - a platform designed from the ground up to liberate, unify, and transform raw scientific data into AI-ready information. What started as a mission to connect lab instruments to a single cloud platform has evolved into the industry's only Scientific Data and AI Cloud, trusted by 48% of top pharmaceutical companies to replatform their entire scientific data infrastructure. Today, TetraScience enables Scientific AI across discovery, development, and manufacturing - turning fragmented, siloed data into the foundation for solving humanity's grand challenges in healthcare and beyond.
