Our Technology

The cellular blueprint for therapeutic success

Comprehensive Profiling

Simultaneously measure hundreds of binary protein-protein interactions within a targeted network of key signaling proteins

The QMI Assay

OUR EXPERIMENTAL ENGINE

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High-Resolution Quantification

Precise, quantitative measure of protein co-association in its native state, capable of detecting small but physiologically relevant changes in interaction strength

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Broad Versatility

QMI has been successfully applied to a diverse range of signaling pathways

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OUR PREDICTIVE INTELLIGENCE

AI-Powered Modules

Predictive Biosignatures

Our models learn from QMI data to generate an actionable "biosignature" for each cell product

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Uncovering Causal Mechanisms

Differentiate between a clinically successful CAR and a construct that failed in trials, even when standard preclinical assays show no difference

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Informing Rational Design

Our platform provides crucial, data-driven insights to refine new CAR designs and optimize administration strategies

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QMI + AI-Powered Modules Explained

OUR PROCESS

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QMI

ACTIVATE

T cells are stimulated with an antigen or other trigger to set off their internal signaling cascade, capturing the dynamic state of the protein network as it functions

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PROFILE

Using our proprietary assay, we capture and quantify hundreds of protein-protein interactions from a targeted signaling network

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MEASURE

We precisely measure the strength of each interaction to create a rich, quantitative dataset. This provides a detailed look at how the signaling network responds to stimulation, providing the raw data for our analysis

AI

MAP

The rich, quantitative data from our QMI assay is compiled to create a comprehensive map of the cell's signaling network. This map establishes a foundational database of how a therapy's design translates into a cellular response

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ANALYZE

Our machine learning models analyze these data maps to identify "modules"—groups of interactions that function together. This process reveals the molecular logic circuits that govern a cell’s response

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PREDICT

These modules are then translated into an actionable "biosignature" that predicts specific clinical outcomes, such as the risk of severe Cytokine Release Syndrome (CRS) or Immune Effector Cell-Associated Neurotoxicity Syndrome (ICANS)

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VALIDATE

The predictive power of these biosignatures is rigorously validated against banked clinical samples with known patient outcomes. This closes the loop, allowing us to continuously refine our models and provide a high-confidence prediction of a therapy’s safety and efficacy for our partners

For a deeper dive into our methodology and the scientific foundation of QMI, please explore our publications and presentations.