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Biohub leads a $1.8 billion push for AI biology data
The US Energy Department, NIH, Meta, Google DeepMind and Isomorphic Labs back datasets to train virtual cell models.
A group of public and private backers committed $1.8 billion on Wednesday 7 October 2026 to build the biology data that AI models need to simulate cells, SiliconANGLE reports. The goal is a virtual cell: a model good enough that some lab experiments can run in software.
The US Department of Energy is the largest contributor, with more than $500 million over five years, part of it for imaging equipment, SiliconANGLE says. Biohub, the research nonprofit backed by Mark Zuckerberg, commits $400 million. Google DeepMind, Isomorphic Labs and Meta add $300 million together, and the National Institutes of Health opens datasets built with more than $500 million of earlier federal money. Nvidia supports the computing side.
Commercial funders get a year of exclusive access to the data they paid for before it goes public, Biohub research lead Alex Rives said, according to The Decoder. Government-funded data carries no such delay. A first dataset is due in about a year.
The initiative treats the lack of large biology datasets as the barrier to virtual cells, and its commercial funders get a year of exclusive access to the data they paid for.
Sources
- SiliconANGLE: US government, tech giants and Biohub commit $1.8B to AI biology initiative. Checked
- The Decoder: Zuckerberg’s Biohub leads a $1.8 billion push to build AI models that predict cell behavior. Checked
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