Coherence

Release Candidate 3 System Ready

Physiological Intelligence.

The first signal interpretation engine designed to close the gap between autonomic input and latency-to-insight. Multi-signal context at the speed of state change.

Scroll to Calibrate

Depth is temporal.

Traditional dashboards flatten the signal. Coherence reads it in motion. Our multi-signal fusion engine tracks temporal windows in real time, modeling stability, coherence, recovery slope, and trend inference without diagnostic labeling.

Multi-Signal Fusion

Pulse, breath, and interval patterns aligned into coherent windows.
Revealing up to 180ms of regulatory amplitude in motion.

Stability Mapping

Adaptive baselines update with context shifts and variability drift.

Trend Inference

Short- and long-horizon patterns resolved into readable state trajectories.

Convergent Respiratory Modulation

Architecture is adaptive.

Breathing in Coherence is not imposed as a fixed rhythm. It is algorithmically detected and dynamically adjusted to enhance cardiorespiratory synchronization and autonomic stability in each individual. Rather than functioning as a relaxation technique, breathing serves as a minimal and reversible physiological stimulus. By adjusting the relationship between inhalation and exhalation, the system observes how regulatory structure reorganizes in real time. The outcome is not a breathing score, but a measurable adaptive response: stability, recovery slope, and physiological coherence over time.

Diaphragmatic Optimization

The effectiveness of modulation increases when breathing is predominantly diaphragmatic. Diaphragm activation generates greater intrathoracic pressure variation, amplifies respiratory sinus arrhythmia, and supports a more robust vagal signal. Coherence prioritizes patterns that mobilize the diaphragm rather than superficial thoracic breathing.

Sensorimotor Anchoring

The light opposition between index finger and thumb acts as a sensorimotor anchor that involuntarily promotes more stable diaphragmatic breathing. This gesture is not symbolic. It modifies fine motor activation and postural stability, reducing accessory respiratory engagement and facilitating more efficient ventilation without conscious forcing.

Adaptive Reorganization Modeling

Breathing acts as the stimulus. ITFD models the resulting reorganization. The system evaluates baseline stability, recovery trajectory, and longitudinal regulatory coherence based on how the organism restructures under minimal controlled load. The signal is not the breath. The signal is the adaptive architecture that emerges from it.

Breathing is not a predefined protocol. It is the physiological variable the algorithm detects and dynamically adjusts in real time to induce the highest possible adaptive reorganization capacity in each individual.

Structured Session Protocol

Coherence uses three session lengths in Version 1: 10 min (quick regulation check), 20 min (stability and recovery assessment), and 30 min (deeper adaptive trend profiling). Longer sessions increase temporal resolution, not diagnostic scope. A fourth mode, Monitor, is in launch phase and will provide open-ended real-time state detection.

Single-Breath Humming Exhalations

Resonant Extension.

Single-Breath Humming Exhalations introduce an optional resonant layer to convergent respiratory modulation. Nasal vibration during exhalation significantly increases nitric oxide dynamics in the upper airways and modifies airflow patterns. This phenomenon is documented in respiratory physiology and used in clinical contexts related to nasal ventilation and airflow regulation. Vibratory exhalation has been shown to markedly increase nasal nitric oxide release, enhance paranasal sinus ventilation, and influence the interaction between respiratory flow and autonomic signaling. Nitric oxide functions as a vascular modulator, smooth muscle regulator, and signaling molecule integrating respiratory function and autonomic regulation.

Conditional Activation

This layer is not automatically applied. The system analyzes synchronization, recovery slope, and regulatory load in real time and determines when the controlled introduction of Single-Breath Humming Exhalations can reinforce coherence without increasing adaptive strain.

Structured Oscillatory Amplification

The objective is not to intensify breathing but to enhance structured oscillation when the system is prepared to integrate it. Under these conditions, resonant exhalation can strengthen coupling between respiration and heart rate variability, making the autonomic reorganization modeled by ITFD more visible and measurable.

FIG 01. TEMPORAL COHERENCE MAPPING

FIG 02. NEURAL ADAPTATION DYNAMICS

Architecture

Core Modules

Signal Engine

Real-time autonomic variability parsing RR intervals & HRV metrics with contextual tagging, processed locally on the device.

Temporal Flow

Phase-aligned autonomic waveform analysis across respiratory and cardiac rhythms for stable coherence tracking over time.

Adaptive Core ITFD Index

Adaptive baseline modeling and intra-individual trend calibration to detect early loss of regulatory tolerance.

Live Sync

Sub-second synchronization between respiratory modulation and autonomic response, ensuring minimal latency-to-insight.

Engineered for Scale.

Subclinical Resolution

ITFD models regulatory organization at a depth where adaptive stability and structural drift become observable before overt dysfunction appears.

Biological Wear Proxy

Biological aging is influenced not only by time, but by accumulated regulatory wear. Persistent autonomic load, circadian disruption, and incomplete recovery increase physiological strain long before overt dysfunction appears. Coherence models this upstream wear through temporal stability, recovery dynamics, and adaptive coherence — without estimating biological age or making diagnostic claims.

Pathway Differentiation

The framework differentiates dominant physiological domains under regulatory strain — without diagnostic labeling or population-based comparison.

Longitudinal Integrity

Coherence evaluates tolerance, recovery dynamics, and adaptive drift across time, preserving intra-individual structure rather than isolated readings.

Multi-Scale Organization

The system tracks how autonomic variability sustains coherence across nested temporal scales — from immediate regulatory amplitude to long-term adaptive stability.

Performance

Metrics that define adaptive-state reliability.

180 ms

Latency-to-Insight

∞

Scalable Sessions