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

Human biology is complex. Biomedical data span multiple scales — from molecules to tissue to clinical observations — and different modalities — from visual to written to genomic and beyond. Today, that data is siloed, even within the world’s best healthcare and biopharma organizations. We leverage data across all scales, modalities, and sources into a universal foundation model, providing a complete, precise representation of patient trajectories to drive discoveries and decisions.

Intaking Data from All Sources

Human biology is not limited to linguistic descriptions, and neither are we. The Standard Model has a flexible, data-agnostic design. Biological signals exist at every scale and across many modalities, and each modality enters our model through a purpose-built encoder. For example:

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

We incorporate new encoders as new modalities and sources become available. By preserving the unique structure of each modality, the Standard Model ensures no insight is lost, building a foundation for deliberate, informed decisions.

Evidence December 16, 2025

Oncology Model Weights

Converging to a Shared Patient Space

Patient data are aligned into a mathematically consistent latent space: the Standard Model. 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 many 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 are the quiet backbone to domain experts: our goal is to 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 likely progress over the next 6, 12, and 24 months under the current standard of care?
What early markers signal a future change in disease state or therapeutic response?
How might disease progression change if we apply intervention X at timepoint Y?
Which patients are likely to benefit most from this therapy, and which are likely non-responders?
What’s the counterfactual outcome for this cohort if they had received treatment A instead of treatment B?
For clinical trials, how many eligible patients exist across our health system, and what are their key characteristics?

For Biopharma Leaders

Is this patient in a subgroup that has adverse events when using my novel therapy?
Which patients meet our clinical trial inclusion/exclusion criteria?
What is the expected event rate for this proposed endpoint in this cohort?
What hidden patterns or clusters exist in this patient population that aren’t captured in ICD codes?
Which features most strongly differentiate mild, moderate, and severe cases?
What biomarkers (e.g., lab, imaging, wearables) correlate with clinical outcomes in this cohort?
How do genomic variants, imaging findings, and longitudinal EHR trajectories jointly predict outcome X?

Understanding Patients Across Scales

Our model connects signals across tissues, biomarkers, and patient history — giving teams the insights they need. With predictive simulations, leaders in academic medicine and biopharma can optimize strategies, reduce risk, and accelerate research outcomes.

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.