Identify the pathways driving disease and distinguish them from adaptive or compensatory biology.
Causal biology resolved across the discovery lifecycle
Understand what targets do, how they are regulated, and how they influence disease biology.
Explain what compounds do in biology, why they succeed or fail, and how resistance emerges.
The biology runtime for AI.
BioGPU enables AI models to reason inside cells through massive parallel visual biology experiments.
BioGPU Agent
Massive parallel visual biology experiments
-
Protein
localization -
Nuclear
translocation -
Phospho-
signaling -
Cytoskeletal
dynamics -
Mitochondrial
state -
RNA
granules -
Protein
interactions
conditions and perturbations
Visual Biology Tokens
Visual Biology Tokens enable AI agents to reason inside biology at scale
BioGPU enables AI models to design experiments, observe real cellular responses, and reason causally within the complexity of living systems.
- Design hypotheses
- Run visual biology experiments
- Observe real cellular outcomes
- Iterate and refine understanding
- Resolve biology causally
Foundational
pathway-image-to-text model
-
Protein
localization -
Nuclear
translocation -
Phospho-
signaling -
Cytoskeletal
dynamics -
RNA
granules -
Mitochondrial
state -
Protein
interactions -
Pathway
responses
BioGPU Agent
Chat with cells.
Experimentally resolving the biology of
pathways, targets, and compounds.
Massive parallel visual biology experiments
The Biology Resolution Loop
Design, run and analyze visual biology experiments
BioGPU Runtime
executes visual biology experiments inside cells.
Scaling up disease resolution
Millions of biological observations.
Building causal understanding.
BioGPU Agent - Driving the BioGPU runtime
BioGPU agent executes on the BioGPU runtime to resolve causal biology in ALS and discover novel targets