The First Functional Immunomics Platform —
Where Biology Drives AI
BIOLOGY FIRST
While other platforms start with the algorithm, Feromics starts with the biology. This single difference is why our data is cleaner, our models train faster, and our discoveries translate into real drugs and diagnostics
Why Standard Approaches Fall Short
The field has long relied on measurements that describe immune cells rather than measure what they do. Activation markers like CD69 and CD25 signal that a cell has been stimulated — but an activated cell is not necessarily a killing cell. Activation ≠ killing. Similarly, immune cells that expand rapidly in manufacturing don't necessarily persist or maintain function in patients. Expansion ≠ durability.
Standard genomic tools capture a static snapshot of molecular state. They cannot capture dynamic behavior — what a cell does when it encounters a tumor, how long it keeps doing it, or when it stops. Feromics was built specifically to measure what standard tools cannot.
What Functional Immunomics Means and Why It Matters
IMMUNOMICS MAPS THE IMMUNE SYSTEM.
FUNCTIONAL IMMUNOMICS CAPTURES WHAT IT'S DOING.
Immunomics is the broad study of the immune system at a molecular scale — mapping the genes, proteins, and cells involved in immune function. It is comprehensive, but it does not tell you what any specific cell is actively doing in the context of a disease.
Functional immunomics goes further. It studies the active function of immune cells — what they are doing, how they are behaving, and the role they play in driving disease or therapeutic response. Most platforms measure what immune cells contain — their genes or proteins. Feromics measures what immune cells are actually doing in the context of a disease.
That functional behavior determines therapeutic response and provides higher-quality signal for AI models than bulk or traditional immunomics data, making discoveries actionable for drug discovery, AI model training, and clinical applications.
This is the data Feromics is built to produce — and the only way to produce it accurately is to begin with individual immune cells selected for their functional relevance to the disease, before any data is collected and before any model is trained. The biology comes first. The AI scales what the biology has already determined is real.
Until recently, isolating and analyzing immune cell function at single-cell resolution at scale was not technically feasible. Advances in microfluidics and functional assays now make this possible. Feromics was built to leverage these advances — generating functional immunomics datasets that did not exist before.
Cells selected for their functional relevance to disease produce molecular data that is cleaner, more specific, and more meaningful than data collected without functional context. The biology itself is superior — and superior biology produces superior AI.
The result is data that no public atlas, bulk genomics tool, or standard single-cell platform can replicate — because it cannot be collected any other way. Function-labeled data linked to molecular profiles at single-cell resolution.
Our AI doesn't just learn correlations from this data. It learns causes.
VALIDATED SCIENCE
The science is published. The technology is patented. The platform is government-validated.
The science is published. The technology is patented. The platform is government-validated.
The Feromics platform is operational today — and independently validated in three ways:
Published science: Published science: Peer-reviewed research published in Blood (2024) and Blood (2025) demonstrates target discovery through functional single-cell analysis, identifying the KLRG1 target via our Intelligent Design™ platform — a discovery traditional bulk datasets could not produce.
Patented technology: Patented technology: Feromics AI Platform technology is protected by multiple patents, including our proprietary microwell array enabling functional single-cell analysis at scale — exclusive to Feromics.
Government validation: A $4.1M ARPA-H grant from the U.S. Advanced Research Projects Agency for Health provides independent external validation of the platform and approach.
The Problem This Solves
BEFORE FEROMICS, AI MODELS IN IMMUNOLOGY RELIED ON DATA THAT COULD NOT CAPTURE FUNCTIONAL INFORMATION
Most platforms train on bulk data — thousands of immune cells of different types and functional states measured together and averaged into a single number. In that averaging, disease-specific signals in individual immune cells — the very signals functional immunomics is designed to capture — get flattened.
The result is a mixture of meaningful signal and irrelevant information, also called noise. AI models built on bulk data cannot distinguish signal from noise because the data itself cannot. This is why training can take years, cost hundreds of millions, and still produce outputs difficult to translate into drugs or diagnostics.
Feromics solves the problem at its source — producing high-quality, functional biological data before any model ever sees it.
Public atlases and standard genomic datasets have sequence data. Function is unknown. Outcome is unknown. Feromics data has sequence data plus verified functional labels — serial killer, selective depletion, exhaustion — directly observed at the single-cell level. The difference is not a matter of quantity. It is a matter of kind. You cannot scrape this data from any public repository. It does not exist anywhere else.
What This Means for AI and Technology Partners
FUNCTIONAL IMMUNOMICS TRAINING DATA PRODUCES BETTER MODELS— FASTER TO TRAIN, LESS EXPENSIVE, AND MORE RELIABLE.
The quality of any AI model is bounded by the quality of its training data — the biological data the model learns from. Our Intelligent Design™ platform produces what the AI field calls training-grade data — purpose-built for AI model training from the ground up, not collected for research and repurposed. Every data point carries a verified functional label alongside its full molecular profile. The AI doesn't have to guess what the data means. The meaning is built in.
The Problem This Solves
FOR AI & TECHNOLOGY PARTNERS
→ Faster training — the AI scales clean functional signal from the start, rather than searching for meaning in a mixture of signal and noise.
→ Lower cost — functional immunomics data requires fewer samples, less compute time, and fewer experimental iterations to produce high-confidence results.
→ More reliable output — the data is built around function and disease specificity from the start, so discoveries returned by the model are grounded in biology already validated before the AI began.
Once trained on Feromics functional data, AI models can be deployed against standard, widely available sequence data — bulk RNA-seq, single-cell RNA-seq, and retrospective clinical trial datasets already in partners’ possession. Partners don’t need Feromics data to run forever. They need it to train models that then work independently — at scale, on data they already have. This is function inference at scale.
The Intelligent Design™ Platform
DATASETS INTEGRATE INTO EXISTING AI TRAINING PIPELINES
Feromics improves the data layer, not the modeling layer — meaning partners can use our functional immunomics data directly in their existing AI models without redesigning their algorithms.
Our patented microwell array technology enables high-throughput functional single-cell analysis at scale — covering measurement of serial killing and cell persistence, the two most clinically valuable functional readouts in cell therapy development — and is exclusive to Feromics.
Major technology organizations are still spending years and hundreds of millions of dollars trying to solve the problem of noisy, bulk-averaged training data. Feromics has solved it — delivering clean, functional, disease-specific data that drives faster, more accurate, and actionable AI models.
BEYOND DISCOVERY
What sets Feromics apart from every other functional immunomics or discovery platform is what happens after the discovery.
We extract the gold from the data — and show you how to turn it into something viable.
What sets Feromics apart from every other functional immunomics or discovery platform is what happens after the discovery.
Our Intelligent Design™ platform generates functional single-cell immunology datasets describing immune cell activity in disease, functional subpopulations, signaling pathways driving immune response, and interactions between immune cells and disease biology. These datasets are suitable for target discovery, biomarker identification, and AI model training — and they are produced with a level of functional specificity no other platform can match at scale.
Feromics extends these discoveries end-to-end — translating functional signals into validated targets, therapeutic candidates, and diagnostic applications entirely in-house. Partners receive more than data; they gain actionable intelligence to move discoveries into the development pipeline.
This full translational capability is what defines Feromics as a platform company: the ability to materialize what functional biology reveals and turn it into something real.
Better AI in immunology starts with better data. Feromics builds that data from the biology up.
Our Partnership Model
FEROMICS BUILT THE INTELLIGENT DESIGN™ PLATFORM FOR COLLABORATIVE PARTNERSHIPS
Feromics sits at the intersection of three large and growing markets: AI in drug discovery, immunotherapy development, and precision immunology.
We partner across multiple phases — from functional data generation and collaborative research programs to translating platform discoveries into viable pipeline assets. The right partners are organizations building AI models in immunology, developing clinical AI applications, or advancing drug discovery programs.
As more functional immunomics datasets are generated through these partnerships, Feromics' advantage compounds automatically — more data improves model accuracy, better models attract more partners, more partners generate more data. This is a data network effect that widens with every experiment run and every program engaged.
Partners can rely on data that is accurate, actionable, and reliable — delivered with the speed, cost efficiency, and single-cell precision only Feromics can provide.
TALK TO US
Feromics is an AI-driven functional immunomics platform built from the biology up — and built for partners advancing AI, drug discovery, and clinical development in immunology. Better biology produces better models. Better models produce better medicine. Let's build together.
→ Contact us at info@feromics.com
→ Call (617) 299-9352
The Problem This Solves
BEFORE FEROMICS, AI MODELS IN IMMUNOLOGY RELIED ON DATA THAT COULD NOT CAPTURE FUNCTIONAL INFORMATION
Most platforms train on bulk data — thousands of immune cells of different types and functional states measured together and averaged into a single number. In that averaging, disease-specific signals in individual immune cells — the very signals functional immunomics is designed to capture — get flattened.
The result is a mixture of meaningful signal and irrelevant information, also called noise. AI models built on bulk data cannot distinguish signal from noise because the data itself cannot. This is why training can take years, cost hundreds of millions, and still produce outputs difficult to translate into drugs or diagnostics.
Feromics solves the problem at its source — producing high-quality, functional biological data before any model ever sees it.
Public atlases and standard genomic datasets have sequence data. Function is unknown. Outcome is unknown. Feromics data has sequence data plus verified functional labels — serial killer, selective depletion, exhaustion — directly observed at the single-cell level. The difference is not a matter of quantity. It is a matter of kind. You cannot scrape this data from any public repository. It does not exist anywhere else.