Spatial ML Data Engine
A biology-native runtime for streaming synchronized images, cells, transcripts, molecular features, and graphs into spatial-omics models.
Pillar 03
Science
Using AI to accelerate rigorous discovery in fields with meaningful public impact.
Our approach
Work that turns ambition into measurable progress.
We pursue and collaborate on research that applies AI to consequential scientific questions, with an emphasis on transparent methods, reproducible results, and knowledge others can build on.
Portfolio
Projects in Science
1 project
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The other pillars
Pillar
Sustainability
Reducing the energy, carbon, and resource costs of artificial intelligence.
Pillar
Safety
Advancing dependable AI systems that are developed and used responsibly.
Pillar
Research Infrastructure
Building open systems and shared tools that accelerate discovery in high-impact fields.