The Standard Model for Biomedicine

The Standard Model is a multimodal foundation model that integrates any biomedical measurement at any scale, from the molecular to the whole-patient level, into a universal representation of a human patient. This is a fundamentally human endeavor that respects the inherent complexity of patients.

Built By Experts at the Convergence of Tech and Biopharma

Addressing Fragmentation in Biomedical Data

Biomedical organizations have incredibly valuable data. It’s also incredibly siloed. Today, continuity is missing, and data are scattered across departments, time, and modalities, limiting insights and leaving opportunities untapped.

Our foundation model is trained on diverse data across silos, generating insights that are impossible to attain within the four walls of one organization. Our tightknit, cross-disciplinary team is transforming the way biomedical data are used for patient care, clinical trials, and more.

Meet the team behind the shift

A Universal Patient Representation, From Any Modality to Any Outcome

Our foundation model brings together the world’s most valuable biomedical data across sources, scales, and formats to create a dynamic and universal representation of human patients. Importantly, we predict future patient state—not just future words in a sentence.

Understand how our model works

Unlocking Clarity Across Biological Scales

Biological signals exist in a complex hierarchy, from genomic variants to anatomical scans. Yet current AI treats these as isolated silos. By bridging this gap, Standard Model Bio transforms fragmented data into a coherent biological narrative. We enable organizations to optimize clinical trials and care decisions with unprecedented precision.

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Partnering to Advance Biomedicine

We’ve trained a universal foundation model on the world’s most valuable biomedical data, enabling our partners, customers, and collaborators to drive the future of clinical trials and patient care.

Academic Medical Researchers

For researchers, time is of the essence—and limited access to data can block progress, decisions, and discoveries.

Standard Model Bio partners with researchers to provide access to latent data representations via our foundation model and engineering expertise. Researchers can use this information to make critical discoveries, publish papers, and help their clinician-partners. For example, our model can:

  • Assess risk profiles for patient groups
  • Predict potential responses to therapies
  • And more

Biopharma Leaders

As standards of care evolve, the cost and complexity of clinical trials has risen. The margin for success is narrowing. Standard Model Bio provides a new AI stack for biopharma leaders to close the gap on critical decisions in drug development.

Our foundation model, infrastructure, expertise, and partnership approach enables biopharma leaders in AI, clinical development, and beyond to:

  • Assess risks
  • Model patient enrollment
  • Design clinical trials
  • Inform go/no-go decisions
  • Reduce uncertainty
From our CEO & Cofounder, Kevin Brown

“Tech and biotech have been on a collision course for a long time. Now we’re standing at the convergence. Our team comes from both worlds, combining AI, biomedical data, and biopharma expertise. We’re building the Standard Model for biology — not just a foundation model, but a foundation for the future of medicine, enabling others to design, test, and deliver next-generation care to more people.”

Stay up to date with our news, annoucements, and featured stories

Introducing Standard Model Biomedicine
Blog September 30, 2025
Introducing Standard Model Bio

We’re building a multimodal foundation model that integrates any type of data for biopharma, academic medical centers, and biobanks.

GenVarFormer
Research September 29, 2025
GenVarFormer: Predicting gene expression from long-range mutations in cancer

Distinguishing the rare “driver” mutations that fuel cancer progression from the vast background of “passenger” mutations in the non-coding genome is a fundamental challenge in cancer biology.

buiding EHR foundation model
Research September 29, 2025
Building the EHR Foundation Model via Next Event Prediction

Electronic Health Records (EHRs) contain rich temporal dynamics that conventional encoding approaches fail to adequately capture.