A GPS for Health, built as open infrastructure.
Cytognosis builds open-science AI infrastructure that turns molecular, cellular, physiological, behavioral, and clinical research signals into interpretable health-state coordinates. The goal is to help researchers understand disease as a trajectory, long before a clinical label can explain it. This work is research infrastructure, and it is non-diagnostic by design.
Reactive healthcare has three structural blindspots.
Modern medicine is good at naming conditions once symptoms appear. It is far weaker at seeing the biology underneath, the years before a label fits, and the differences between people. Cytognosis builds the shared AI layer that helps researchers address all three.
These are not three separate problems. They are one structural gap: the absence of a shared system that maps health at its biological roots, follows it over time, and keeps every step interpretable and uncertainty-aware.
GPS for Health: a map, a sensor, and a navigator.
A GPS needs a map, a way to take a reading, and a navigator to make sense of it. Cytoverse, Cytoscope, and Cytonome are designed to build, measure, and explain health-state coordinates across biological, behavioral, and clinical scales.
An AI health coordinate system. Multimodal foundation models and ontology-guided embeddings align biological and behavioral signals into continuous, interpretable coordinates, in place of binary labels.
A sensing and measurement layer. It tracks movement through the map over time using research-grade sensors, biomarkers, wearables, and validated instruments.
A privacy-aware AI interface. It turns coordinates into human-reviewable explanations with provenance, privacy boundaries, and explicit uncertainty.
Underneath sits the Helix Model, a multimodal biological foundation model that connects genomic, single-cell, connectomic, phenotype, and longitudinal signals into one research representation layer.
Disease is a trajectory, not a label.
Cytognosis models health as a dynamic position in biological state space. A meaningful shift may begin as a small deviation from a personal baseline across interpretable axes, long before a clinical label can explain it. Our work is to make those trajectories measurable, traceable, and uncertainty-aware, so the research community can study them and challenge them.
Public-good infrastructure, built in the open.
A shared map of human health is infrastructure, not a single product. Building it well needs sustained, foundational work that neither academia nor industry is structured to carry alone. A nonprofit foundation can hold that work for the public good.
The gap a foundation fills
Academia excels at foundational discovery but is not built for industrial-scale, long-horizon engineering and validation. Industry is structured around shorter-term products. A focused research organization can do the patient, coordinated work in between, and treat the result as a public utility that other groups build on.
Open by default
We build reusable models, schemas, benchmarks, validation reports, and documentation that research groups, patient communities, and institutions can evaluate and extend. Models and tools are released under open licenses when safe and legally permitted, with bias audits, performance bounds, and negative results documented so the field can inspect the work.
Help build the map.
For researchers, clinicians, engineers, patient communities, and funders working toward reproducible, equitable, and interpretable health-state AI.
Cytognosis is research infrastructure and does not provide medical diagnosis, treatment, or clinical decision-making.