Replacing diagnosis with cytognosis

Known by its cause, not its label.

The same symptom can hide different biology. We build an open foundation that resolves a label like depression into its distinct biotypes, so care can be matched to the mechanism driving it, not a population average, often years before symptoms would otherwise prompt a visit to the doctor.

An abstract portrait overlaid with soft contour lines and glowing signal nodes: molecular, neural, and behavioral signals held as one coherent picture.
Illustrative composite: a person’s biology represented as a coherent, continuous map, not a single label.
The core idea

One symptom. Several distinct biotypes.

A cough can be a cold, the flu, or COVID-19: the same symptom, three different causes, three different matched responses. Cytognosis applies that same logic to conditions like depression, resolving one symptom label into the distinct biotypes actually driving it.

A cough can be a cold, the flu, or COVID-19: one symptom, three distinct causes, three distinct responses. Select a chip to switch examples.
Text description: one symptom label at the left branches into three distinct biotypes in the middle, each with its own underlying mechanism, each connecting to its own matched response on the right. This is an illustrative schematic, not real patient data, and does not represent a diagnosis.

Replacing diagnosis with cytognosis. A symptom-based label like “depression” can group people whose biology differs profoundly. Cytognosis resolves that label into its distinct biotypes, connectivity-defined circuit differences, inflammation-driven signatures, BDNF-related signaling, and matches treatment to each, not to the average.

The platform

The Cytognosis Platform: GPS for Health.

Cytognosis is building the first cellular intelligence platform to map, sense, and navigate individual health, so we can detect and intercept disease years before symptoms emerge.

Think about how a road trip works: you need a map, a signal that shows where you are on it, and directions for where to go next. Cytognosis brings that same idea to health as GPS for Health, short for Global Positioning System for Health: the same kind of satellite positioning that already guides your car, now guiding your body.

Cytoverse draws the map, Cytoscope reads your position on it, and Cytonome charts the route forward, recalculating as your health changes.
Text description: a simplified map with a grid and a contour line representing Cytoverse, a pulsing position marker representing Cytoscope, and a dashed route line to a destination marker representing Cytonome, all on the same shared map. This is an illustrative schematic, not a real map or measurement.
Reactive, today

“You have diabetes.”

Proactive, with Cytognosis

“Your metabolic coordinates are shifting. Adjust your circadian timing to restore your trajectory.”

The first sentence arrives after the damage is done. The second arrives while there is still time to change course. That gap, years before symptoms instead of after diagnosis, is the whole point of the platform.

Cytoverse · the map

Your biology, plotted like a map, not sorted into a box.

Cytoverse gives every person a precise, moving position on a shared map of human health. Instead of sorting people into broad categories like “depressed” or “not depressed,” it places each person along continuous biological coordinates, a bit like latitude and longitude, but for biology instead of geography. Two people who share a diagnosis, but not the same underlying biology, finally show up differently on the map.

  • Today: clinicians treat people who share a diagnosis as if they share a cause, even when their biology differs. Cytognosis: Cytoverse gives each person their own Universal Health Coordinates, precise enough to catch subtle shifts and track them over time.
  • Today: diagnosis relies on clusters of symptoms, with little insight into the biology actually driving them. Cytognosis: Cytoverse combines detailed health profiles with the genetic and cellular drivers behind them, revealing each person’s unique biological biotype.
A coordinate is a bundle of five things, not one number. Select a chip to isolate each part.
Text description: a single glowing point in a two-axis biological space, with a fading trail showing recent movement, a faint ghost marker at this person’s own baseline connected by a line, and a dashed halo whose size reflects uncertainty. The coordinate is not the answer; it is a disciplined way to ask better research questions about state, mechanism, and time. This is an illustrative example, not real patient data, and does not represent a diagnosis.
Cytoscope · the sensor

Always sensing, tuned to one person at a time.

Cytoscope is the sensing layer that continuously locates a person on the Cytoverse map, similar to how GPS satellites triangulate a location on Earth. Rather than one blood draw a year, it tracks many molecular signals at once and keeps updating in real time as biology shifts.

  • Today: an annual checkup offers a single snapshot, missing the slow drift that often signals disease long before symptoms show up. Cytognosis: Cytoscope senses continuously, the same principle behind continuous glucose monitors, but expanded across metabolic, immune, and neurological systems at once.
  • Today: everyone receives the same standard test panel, regardless of personal risk. Cytognosis: Cytoscope selects its starting panel of markers based on each person’s genetics, age, sex, and health history.
  • Today: standard sensors lock in their design at manufacturing and never change afterward. Cytognosis: Cytoscope is software-defined, updated with new code after it is already in use, so it picks up new signals without swapping hardware.

How Cytoscope decides where to look

  1. Start wide. A broad, low-detail scan of the whole system establishes a person’s general position on the map.
  2. Zoom in on what matters. That first scan, combined with personal information like genetics, points to the specific signals worth a closer look.
  3. Go all the way down, only there. Cytoscope keeps zooming in on those spots, all the way to single-cell detail, instead of examining every cell in the body.
  4. Keep adjusting. As a person’s health shifts over months and years, Cytoscope updates where it looks, following the story wherever it moves.
  5. Looking ahead. The same feedback loop that decides where to sense next could one day help guide treatment too.
Cytonome · the navigator

Data becomes direction.

Cytonome takes Cytoscope’s continuous readings and turns them into clear, personal guidance, the way a navigation app turns a position into turn-by-turn directions. It runs directly on a person’s own device: all the thinking happens locally, and raw molecular data never has to leave their hands.

  • Today: finding the right treatment often means trial and error, based on population averages that may not fit any one person. Cytognosis: Cytonome matches interventions to each person’s specific biotype.
  • Today: guidance rarely separates biological causes from lifestyle or environmental ones. Cytognosis: Cytonome combines molecular data with lifestyle and environmental context, like diet, sleep, and stress, for the fuller picture.
  • Today: clinical decisions mostly wait until a problem crosses a diagnostic threshold. Cytognosis: Cytonome looks for change while it is still reversible, typically two to five years before a condition becomes permanent.
Built to belong to everyone

A nonprofit, open by design.

Cytognosis is a nonprofit. We build every map, sensor, and model as open, public infrastructure. It belongs to humanity, not shareholders.

Cytognosis exists so no one else waits decades for answers.

Capabilities

A practical stack for rigorous discovery.

01 · Align

Evidence across modalities

Connect molecular, cellular, neural, physiological, behavioral, and clinical research signals without pretending they are interchangeable.

02 · Model

Trajectories, not snapshots

Represent change from personal or cohort baselines so the research question can follow patterns over time.

03 · Validate

Performance in context

Document uncertainty, subgroup performance, provenance, and limitations alongside every research result.

A researcher-facing dashboard mockup summarizing multimodal health signals for review.
Built for the people doing the research: every coordinate, biotype call, and validation result is inspectable from a working dashboard, not locked behind a black box.

Cytognosis ships as research infrastructure researchers can actually use: the same stack that aligns evidence and models trajectories also surfaces its reasoning in a dashboard built for scrutiny, not just a demo.

Open science

Built as FAIR infrastructure, not retrofitted onto one.

Because health-state mapping is meant to become shared research infrastructure, every artifact, data, model outputs, coordinate schemas, validation results, and model cards, carries durable identifiers, provenance, versioning, and machine-readable structure from the start.

Click a pillar above to see what it guarantees in practice.
Text description: four pillars, Findable, Accessible, Interoperable, and Reusable, supporting a shared horizontal bar labeled Shared research infrastructure. Each pillar expands to its own working definition and concrete example.

“FAIR is not administrative overhead.” It is how public-good infrastructure remains useful after the first paper, first model, or first demo, so groups can compare methods, inspect failure modes, and build on each other’s work without rebuilding the same scaffolding every time.

FAIR infrastructure is what turns a mesh of raw, disconnected signals into a structured, reusable map, the same discipline that lets any research group pick up where another left off.

Continuous cross-scale monitoring

Watching biology move, years before behavior shows it.

A worked, illustrative example using depression: the platform tracks biotypes across four scales at once, follows how they move over time, and proposes an adjustment when the pattern shifts, often long before symptoms would appear on their own.

A diagnosis is a threshold event: before it, the system reports nothing unusual; after it, everything changes at once. A trajectory model tracks the same signal as motion instead, revealing a prevention window that a single snapshot cannot show.

A label is assigned at the threshold. Before it, the system reports nothing unusual; after it, everything changes at once.
Text description: toggle between a flat line that jumps abruptly at a vertical diagnosis threshold, and a smooth rising curve of the same underlying data with a shaded prevention window between where drift begins and where the old threshold would have been crossed. This is an illustrative example, not real patient data.
Four biotype trajectories, across molecular, cellular, circuit, and behavioral scales, tracked over twelve months for one illustrative depression example
Baseline

All tracked biotypes near personal baseline. No action needed.

Text description: this diagram follows one illustrative, hypothetical example of depression-relevant biotypes across four biological scales, molecular, cellular, circuit, and behavioral/physiological, over twelve months. The earliest scales shift first; the platform’s recommender proposes an adjustment as soon as a cross-scale pattern is confirmed, often years before symptoms alone would prompt a visit to a doctor. This is an illustrative example, not real patient data, and does not represent a diagnosis or treatment.

First proof of concept

Our first proof of concept is neuropsychiatry.

Brain and mental health make the need for a more careful map especially clear: similar labels can conceal different mechanisms, and different labels can share biological and lived patterns. Neuroverse builds the research map; Yar turns careful, consent-led principles into daily personal support. Neither is a diagnostic or treatment service.

An abstract translucent brain illustration representing the first neuropsychiatry proof of concept.
Two connected paths

One area. Research and personal agency, kept distinct.

Start with the path that fits your question. Both are visible here so no one needs to find Yar three levels down.

Research program

Neuroverse

Open, non-diagnostic research infrastructure for studying continuous phenotype dimensions across genomic, circuit, physiological, and behavioral signals.

  • Longitudinal context over static labels
  • Mechanism-linked, auditable research
  • Clear uncertainty and no clinical claims
Explore Neuroverse
Personal companion

Yar

A local-first, voice-aware cognitive companion for neurodivergent adults: capture, thought organization, flexible planning, and gentle self-understanding.

  • Private by default and consent-led
  • Adaptive, inspectable support
  • Roadmap shaped by community votes
Meet Yar

How people interact with the platform. Neuroverse’s research map and Yar’s daily companion share the same interpretable coordinates underneath, so the interface always shows why a signal matters, not just that it moved.

What this area includes

A broad neuropsychiatry lens, not a collection of labels.

We focus on attention and executive function, mood and emotion regulation, cognition and thought organization, sensory processing, social communication, and self-insight.

Research

Phenotype dimensions, mechanisms, and trajectories that can be examined rather than assumed.

Experience

Context, capacity, rhythm, and environment: the factors that shape how support is actually felt.

Agency

Clear consent, portable data, and a firm boundary against diagnosis, treatment, or hidden surveillance.