Programming
Immunity
Using AI

The world's first multicellular phenotypic perturbation model. We generate digital twins of the human immune system to discover and derisk treatments with unparalleled accuracy—no molecular targets required.

Pioneered by experts from leading institutions

Carnegie Mellon University Berkeley Lab University of Chicago Northwestern Ulm University Instituto Balseiro

Natively Multicellular. Mathematically Superior.

Previous immune system models failed by treating cells in isolation. Anubio's TRAILBLAZER™ architecture models the multicellular interactions of the immune system.

Single-Cell Models (Others)

Limited to analyzing isolated parts. Computational cost skyrockets as data complexity grows.

Multicellular Models (Anubio)

Models the entire immune network. Scales efficiently to simulate millions of interactions instantly.

Standard Single-Cell Model

TRAILBLAZER Multicellular Model

By the Numbers

60M+
Cells analyzed

Our foundational model trained on one of the largest single-cell datasets.

1000x
More efficient

Accelerate drug development with less data than ever before.

75%
Prediction precision

Validated response predictions across multiple indications.

5
Active programs

Ongoing discovery programs.

What TRAILBLAZER Can Do

Define the Goal. We Find the Path.

1.

If you can define the phenotype, TRAILBLAZER will find a treatment.

2.

If you can define the treatment, TRAILBLAZER will find a phenotype.

3.

If you can define both, TRAILBLAZER will find the target population.

Patient Digital Twins

Current in vitro and in vivo pre-clinical models rarely translate into clinical stage success with only 5-15% predictive positive value.

~75% predictive positive value

Anubio uses digital twins to simulate patients responses, achieving ~75% predictive positive value for the direction of change.

Why TRAILBLAZER

Target-Agnostic

No need for molecular targets. Our phenotypic approach discovers treatments traditional methods miss.

Patient-Specific

Digital twins for each patient enable personalized therapy predictions and stratification.

Precise Results

75% prediction precision across multiple indications.

Cost Effective

Each 10% improvement in predictive positive value of clinical trials results in +$350M savings per approved drug.

One Platform. Multiple Frontiers.

Immunooncology Multiple Sclerosis Systemic Lupus Erythematosus Rheumatoid Arthritis Trained Innate Immunity Checkpoint Resistance Neuroinflammation Immune Dysregulation Immunooncology Multiple Sclerosis Systemic Lupus Erythematosus Rheumatoid Arthritis Trained Innate Immunity Checkpoint Resistance Neuroinflammation Immune Dysregulation Immunooncology Multiple Sclerosis Systemic Lupus Erythematosus Rheumatoid Arthritis Trained Innate Immunity Checkpoint Resistance Neuroinflammation Immune Dysregulation Immunooncology Multiple Sclerosis Systemic Lupus Erythematosus Rheumatoid Arthritis Trained Innate Immunity Checkpoint Resistance Neuroinflammation Immune Dysregulation

Ready to Transform Drug Discovery?

Partner with us to leverage AI-driven immunotherapy development.