Build a closed discovery loop of AI-to-biology
Biology GPU
The Biology Runtime for AI
We’ve solved AI’s biggest problem in drug discovery - Connecting how AI thinks with how biology works
AI Models
Multimodal Disease Models
Experimental Reasoning Loop
Biology GPU
Visual Biology AI Model
Multiple cell types across diseases, conditions and perturbations
The Biology GPU
Enabling AI models to visually compute inside cells, powered by pathway experiments at AI scale.
An AI-BioGPU experimental reasoning loop that discovers causal targets and better drugs.
Visualization layer: Proprietary visualisation modality that directly images biological pathways and mechanisms in action inside cells at AI scale.
Biology layer: Large-scale experimental infrastructure that enables AI models to visually compute inside cells and reason experimentally about disease mechanisms.
Compute layer: A Visual Biology Model trained on more than 2 billion proprietary pathway images, designed to recognize active biological pathways in healthy and diseased cells. Its runtime can be deployed in a customer’s private cloud.
Access layer: The BioGPU Agent connects AI models (LLMs) to the BioGPU infrastructure.
Visual Biology Model
Trained on 2B+ process visualizations, it recognizes active pathways in cells.
Enabling experimental reasoning in real biological pathways.
Visual mRNA Biology Model
Trained on mRNA biology regulatory visualizations mechanisms.
Enabling the discovery of target modulators through mRNA biology.
Biology GPU Agent
Your LLM’s research partner for experimental reasoning inside cells
The functional biology dimension in multimodal biology LLMs
Expands AI reasoning into the dynamics of biology - bridging omics with functional cellular biology.
Visual Biology
Biological Processes and Pathways
Medical Records
Metabolomics
Transcriptomics
Proteomics
Genomics
What AI can do with the Biology GPU
Disease Signature & Target ID
Discover pathway signatures - compare cellular systems
Discover novel targets that modulate pathway signatures
Target Validation
Understand a target’s biological function
Compare and rank targets by pathway modulation
Hit Identification
Discover compounds with pathway selectivity
Compare clusters for their biological activity - de-risk programs early
Hit To Lead
Elucidate compound’s MOAs
Optimize activity on core pathways
Lead Optimization
Optimize chemistry in a visual biology loop - optimize pathway activity
Predict off-target effects
Preclinical Development
Visual computing toxicity panels
Compare biology across human and animal models
+ Additional use cases in mRNA biology with a specialized mRNA neural network
Partner with Anima to Build an
End-to-End AI-to-cell Stack
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Biology GPU
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Biology GPU Agent
See and compute on pathways inside real biology.
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Targets and Drugs
Identify disease driving pathways, novel targets and drugs that modulate the phenotype.