Hundreds of disease hypothesis generated computationally
Biology GPU
The biology resolution runtime for AI
Causal biology, resolved
Across the discovery lifecycle
Pathway
Biology
Resolution
Experimentally resolve the truly active pathways
Target
Biology
Resolution
Separate causal drivers from associated passengers
Molecule
Biology
Resolution
Identify how active molecules work, and where they act off-target
Disease Biology Resolution Models
Experimentally generated. The foundational layer of BioGPU biology resolution
Scientists | LLM
Chat with Cells
Experimental Reasoning Loop
Experimental Reasoning Loop
BioGPU
Visual Biology Model Runtime
Multiple cell types across diseases, conditions and perturbations
Biology GPU
The biology resolution runtime for AI
Large-scale experimental infrastructure: Executes AI and omics-derived hypothesis directly in cells, across different disease-relevant cellular systems
Visual computing as a new biological modality: Observe pathway activity and target effects across millions of cellular images, interpreted by a model trained on 2B+ pathway images across ~140 cell types and 25 diseases
Parallel experimental execution: Resolve disease and target biology at scale, rather than one target at a time
BioGPU agent: Enables scientists or LLMs to design experiments, run visual compute, and iteratively test hypotheses against observed pathway activity
Visual Biology Trained Models
Large Visual Computing Model
Generated from 25 disease models trained in real projects with Pharma
Total: 2B+ process visualizations
Visual mRNA Biology Model
Domain specific model that visualizes mRNA biology regulatory mechanisms
BioGPU Agent
Enables LLMs to test biological hypothesis at scale inside cells
The missing experimental modality AI needs to resolve causal biology across pathways and processes in parallel
Under perturbation, cells activate many pathways at once.
BioGPU makes the full biological consequences of perturbation visible early enough to change decisions.
Visual Computing
inside cells
inside cells
Biological Processes and Pathways
Disease
Biology
Resolution
Model
Biology
Resolution
Model
Genomics
Transcriptomics
Proteomics
Pathology
Cellular morphology
Resolving disease and target biology
1
Hypothesis
2
BioGPU
See and compute on processes and pathways inside cells
3
Casual targets
Targets ranked by cellular activity, drivers separated from passengers