Tempus AI, Inc. Class A Common StockTempus launches a 100,000-genome multimodal dataset initiative optimized for AI-driven research, expanding its product/data platform.

Tempus AI announced an initiative to build a research platform containing 100,000 whole genomes linked to longitudinal clinical information over the next several years, with a long-term goal of reaching one million genomes. The company said the effort will create the first de-identified multimodal whole-genome sequencing dataset built around disease populations and patient outcomes and specifically optimized for AI-driven research. The new dataset will be integrated into Tempus' existing de-identified multimodal data environment, where researchers can access genomic information alongside clinical histories, imaging, pathology and patient outcomes, and analyze it through Tempus Lens without moving datasets between systems. Development is already underway and the initial dataset is available through Tempus' Early Adopter Program, with additional members onboarded in waves and general availability planned for mid-2027. Founder and CEO Eric Lefkofsky said adding whole genome data linked to longitudinal outcomes gives researchers a richer foundation to build AI models and ultimately improve patient care.
Tempus AI, Inc. Class A Common StockTempus launches a 100,000-genome multimodal dataset initiative optimized for AI-driven research, expanding its product/data platform.