01 · Product
A living model of
the human body.
Axonixx world models simulate patient physiology from routine biosignals — so disease shows up as a divergence, months before symptoms.
Overview
Diagnosis as a simulation problem.
Classical diagnostics compare a patient against population averages. World models build a personalized simulation and let disease reveal itself as a divergence between real and simulated state.
The model runs continuously on wearable and clinical biosignals. Anomalies surface as physical deviations from a body that should be behaving a certain way — a mechanism, not just a score.
Interactive
See the disease months before it presents.
Detected before diagnosis
152days
≈ 5 months earlier
higher = earlier flag
Architecture
Four layers, one continuous simulation.
- Step 01
Ingest
Continuous biosignals stream into a unified physiological state vector.
- Step 02
Simulate
A foundation model of coupled organ systems evolves the patient's state forward in time.
- Step 03
Diverge
Real measurements are compared against the simulation; drifts localize to subsystems.
- Step 04
Explain
Clinicians see a causal trajectory — a mechanism, not a score.
Applications
Where world models change medicine.
Silent cardiac disease
Subclinical arrhythmias and heart-failure trajectories from consumer ECG.
Metabolic decline
Pre-diabetic drift and hepatic strain from continuous glucose and activity.
Post-op deterioration
Predict complications hours before conventional early-warning scores.
Neurological onset
Autonomic signatures of early Parkinsonian and epileptic conditions.
Science
Rooted in physics, validated in clinic.
- PAPERPreprint, 2025
Foundation models for continuous physiological simulation
- METHODInternal, 2025
Coupled organ-system state estimation from wearable biosignals
- TRIALUAE
Prospective validation in cardiology cohorts
- STANDARDIn progress
IEC 62304, ISO 14971, MDR pathways
FAQ
Answers to what usually gets asked.
Is this a diagnostic device?
Designed as clinical decision-support for regulated use. Clearance is pursued jurisdiction-by-jurisdiction with clinical partners.
What hardware is required?
Existing clinical monitors and consumer wearables. No proprietary sensors.
How is patient data handled?
Strict health-data governance with on-premise and sovereign cloud options.
Can we pilot it?
Yes — with a small number of hospital, insurer, and government partners. Reach out via /contact.
Continue exploring
Partnerships
Building in adjacent healthcare, pharma, or neurotech? Let's talk.