Human Biology is Inherently Multimodal — Yet the Way AI Handles Data Isn’t

Human biology is complex. We leverage biomedical data across all scales, modalities, and sources into a foundation model, providing a representation of patient trajectories.

Learn More About Our Models

Intaking Data from All Sources

Biology is not limited to linguistic descriptions, and neither are we. Different modalities enter our model through purpose-built encoders. For example:

Genomic sequences → sequence models
Proteins → biomolecular network models
Radiology images → vision transformers
EHR data → longitudinal language models

Evidence December 16, 2025

Oncology Model Weights

Converging to a Shared Patient Space

Patient data are aligned into a mathematically consistent latent space. While this space includes language, it is not solely an LLM; language alone cannot represent the complexity of biology. By representing causal trajectories of disease over time, and incorporating data modalities beyond just language, our model predicts the future state of a patient, not just the next word in a sentence.

Reasoning with Biology

Built for understanding complexity, the Standard Model connects advanced simulations to patient- and population-level insights. We provide task-specific reasoning engines to enhance the capacity of researchers to ask and answer critical questions such as:

For Academic Medical Researchers

How will this patient’s disease progress under current standard of care?
What early markers predict change in disease state or therapeutic response?
How will intervention X at timepoint Y affect disease progression?
Which clinical trial is the best fit for this patient?

For Biopharma Leaders

Is this patient in a subgroup that has adverse events?
Which patients meet our clinical trial inclusion/exclusion criteria?
What is the expected event rate for this proposed endpoint in this cohort?
Which features differentiate mild, moderate, and severe cases?

Understanding Patients Across Scales

Our model turns signals into insights. With predictive simulations, leaders in academic medicine and biopharma can:

Accelerate drug development and trial design
Reduce trial failures and optimize patient recruitment
Enable personalized care pathways
Employ a reusable, scalable AI infrastructure across multiple programs and therapeutic areas

Our Impact

Our Standard Model is the first foundation model built for the multimodal, complex, and interconnected human body — and one designed to collaborate with the entire ecosystem. Partner with us to accelerate research, unlock siloed data, and deliver medicines faster.