Biohub Adds Federal and Industry Partners to $1.8 Billion Biology AI Effort

Biohub is bringing federal agencies and AI companies into a shared effort to give researchers better data for predicting how cells behave. On October 7, 2026, it announced an expanded Virtual Biology Initiative with the U.S. Department of Energy, NIH and industry partners, describing $1.8 billion in combined funding, data, computing and measurement technology.

Teaching models how cells respond

The project centers on measurements of what happens when researchers intervene in biology. Biohub says it will expand cell-response data across more cell types and conditions, while developing and validating tools to study cells and their interactions at greater scale, speed and accuracy.

Its measurement program includes cryo-electron tomography, an imaging method that reveals near-atomic detail inside cells. It also backs microscopy capable of imaging millions to billions of cells in living tissue, plus engineering tools for changing biology at molecular, cellular, tissue and whole-organism levels.

Those measurements are intended to train predictive models, sometimes described as virtual cells. Biohub Head of Science Alex Rives says accurate models could let scientists perform experiments digitally and open new paths toward understanding and treating disease. That is the research ambition, not a demonstrated result of this expansion.

Biohub is also building shared standards, common identifiers and a single access point so datasets from different partners can work together. It will work with NIH to standardize the agency’s contributed resources for AI training.

Different contributions, one data effort

• Department of Energy: More than $500 million over five years for cell research, laboratory measurements, modeling and computing. The work will draw on national laboratories’ supercomputers, imaging facilities and autonomous laboratories.
• NIH: Datasets, repositories and knowledge bases developed through more than $500 million in prior federal investment, coordinated for use in the initiative.
• Google DeepMind, Isomorphic Labs and Meta: A collective $300 million for technologies and datasets that combine multiple kinds of biological measurements.
• Biohub: Its founding $500 million commitment, announced with the initiative in April 2026, includes $400 million for measurement technologies and $100 million for research outside Biohub.

NVIDIA will support the initiative with accelerated-computing infrastructure, specialized software and technical expertise. Scientific collaborators include the Allen Institute, Broad Institute, Human Cell Atlas and Wellcome Sanger Institute, which will help develop scientific strategies for the effort.

Open data, but not always immediately

The initiative’s public-access goal comes with a reported timing distinction. The Decoder, citing Reuters’ reporting and Rives, says commercial funders receive one year of exclusive access to the data they paid for before it becomes public. Government-funded work will be available without that restriction.

The same article says Biohub expects the first dataset to be ready in about a year. That places the first expected data delivery well after the partnership announcement, with the broader model-building effort still ahead.