Decoding the Adaptive Immune System at Scale

Three-dimensional rendering of a T cell

We build immune intelligence for biotech, pharma and clinical research teams — turning immune repertoire data into the signals that guide patient stratification, treatment monitoring, and drug development.

A language written in your cells

A molecular language waiting to be decoded

The adaptive immune system records a lifetime of exposures: infections, vaccines, and disease. Your future is written, in part, by your past.

Cracking that code means detecting disease years earlier, personalizing treatment to an individual's immune history, and giving drug developers a way to know, before a trial even starts, who is likely to respond.

Why this matters now

Immunotherapy is the most promising treatment approach for cancer and autoimmune disease. However, without a way to predict who will respond, trials fail, and effective therapies never reach patients.

Knowing who to enroll can be the difference between a trial that succeeds and one that doesn't.

Bridging computation and immunity

Cognate integrates computational immunology, high-throughput sequencing, and machine learning to decode immune repertoires.

Cognate turns raw sequencing data into signals that guide diagnostics, treatment selection, and personalized medicine for biotech, pharma and clinical partners.

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The immune intelligence platform

  1. High-throughput comprehensive profiling of T-cell populations across cohorts and timepoints, from a single blood draw, capturing immune dynamics as they unfold.

  2. A foundation model trained on our large, curated immune repertoire dataset embeds each patient's repertoire and situates it against our full population-scale atlas, surfacing patterns no single-disease marker was designed to catch.

  3. A literature-grounded reasoning layer runs statistical analysis over the contextualized repertoire and writes an interpretive report, answering the questions trial teams actually ask, like why is this patient an outlier or what's the likelihood of an adverse event, and what's driving it.

Team—Led by experts in AI & immunology

Assya Trofimov, PhD

Chief Executive Officer

Computational immunologist and T-cell expert. Pioneering new methods for understanding adaptive immunity.

Assya Trofimov

Philippe Brouillard, PhD

Chief Technology Officer

AI researcher and causal inference expert. Building the bridge between machine learning theory and immune system understanding.

Philippe Brouillard

Board of Advisors

Paul François

Paul François, PhD

Professor of Physics, Université de Montréal

Pioneer in computational modeling of the immune system and T-cell recognition.

Sébastien Giguère

Sébastien Giguère, PhD

Co-founder, Valence Labs (acquired by Recursion)

Scientist and founder in AI and drug discovery.

Cognate is part of the Launchpad program