-Optimus

Multimodal by design, Multi-scale by nature, M-Optimus by Bioptimus.

Trained on diverse multimodal patient cohorts.

Unlike most other foundation models used in healthcare, M-Optimus is a multimodal, multi-scale foundation model that offers a new path toward a unified representation of a patient across tissue, molecular, and clinical levels.

Powered by our data engine, STELA: multiple collaborations around the world to build the largest clinically relevant multi-modal patient cohort.

Designed to de‑risk trials and clarify decisions.

By generating in‑silico readouts from existing data and linking them to clinical outcomes, M‑Optimus helps you:

Design smarter inclusion and stratification strategies
Identify and validate biomarkers earlier
Prioritize indications and combinations with higher confidence

The result is fewer blind spots in trial design, more informative data per patient, and a clearer path to decisive development milestones.

Predict Gene Expression

Use M-Optimus to find new molecular signatures:
Explore your data within the context of thousands of other similar patients. Or fine tune the foundation model, predicting gene expression from multimodal embeddings of H&E slides, routine sequencing and spatial transcriptomics. Use M-Optimus as a deep mining tool to identify new connections and new molecular signatures.

Predict patient stratification and outcomes

Model patients for trial in silico:
Leverage M-Optimus to predict outcomes like Objective Response Rate (ORR) and Progression-Free Survival (PFS).
Power synthetic clinical trial arms, providing a clearer picture of patient profiles that are likely to respond to novel therapeutics.

Predict Drug Targets

M-Optimus fills in the missing information:
By predicting gene expression directly from rountine H&E, M-Optimus lowers the thresholds to patient qualification. And for the drug discovery and early clinical researchers, M-Optimus explains the biological mechanisms that underpin response.

Understand Complex Biology

M-Optimus augments routine data to power research:
With a foundation model built using an unprecedented scale of patient data, you can identify cohorts that are more likely to respond, even in the absence of a complete biological landscape from each patient. The result? Patients can receive more effective therapy, earlier.

Built to facilitate novel insights and better decision‑making

M-Optimus integrates disparate biological modalities into a unified embedding space through a proprietary neural architecture. This backbone enables the rapid deployment of specialized downstream models, allowing teams to achieve high-accuracy predictions with minimal data.

Your chance to be at the forefront of a new era in biological insights.

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