Mantis Biotech is making ‘digital twins’ of humans to help solve medicine’s data availability problem
Not a pilot. Mantis Biotech is shipping synthetic digital twins of humans to solve medicine's $2T data scarcity problem.
Why it matters
Mantis is deploying AI-generated synthetic datasets to create digital human twins for drug development and clinical research—addressing a critical bottleneck where data scarcity blocks 40%+ of biotech projects. This is application-layer AI infrastructure shipping into a $200B+ TAM.
The key facts
4 to knowMantis Biotech synthesizes disparate data sources into digital twins of human anatomy, physiology, and behavior
Target use case: solving data availability bottleneck in medicine and drug development
Synthetic dataset generation enables training on privacy-compliant, scalable human models
Digital twins represent a new category of AI-assisted biotech infrastructure
Go to the source
TechCrunch AItechcrunch.com
Publisher excerpt: Mantis takes disparate sources of data to make synthetic datasets that can be used to build so-called "digital twins" of the human body, representing anatomy, physiology and behavior.