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
The Biology GPU
Visualization layer: Proprietary visualization modality that directly images biological pathways and mechanisms in action inside cells at AI scale. Fundamentally different from morphology-based imaging, which has been in the industry for over 30 years but has not advanced our understanding of disease.
Biology layer: A large-scale experimental biology infrastructure that directly visualizes biological processes and pathways, enabling AI models to compute inside cells and reason experimentally about disease mechanisms.
Runtime layer: Visual Biology Model trained on 2B+ proprietary pathway images, generated using thousands of PathwayLight™ process visualizers. Runs on dedicated NVIDIA GPU clusters with a cloud-native architecture, deployable in the customer’s private cloud.
Access layer: Visual Biology GPU Agent connects large language models (LLMs) to cells through the Biology GPU.
From pathways to targets, mechanisms to compounds - the Biology GPU is the runtime layer where AI engages directly with biology across the entire discovery lifecycle.
LLM
Multimodal Disease Models
Computing Loop
Biology GPU
Visual Biology AI Model
Multiple cell types across diseases, conditions and perturbations
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.