Six proprietary ML models trained on synthesized GI physiology data — processing raw sensor telemetry into calibrated wellness scores, then narrated by AI into human-centered insights.
Raw sensor telemetry ingested, noise-filtered, time-synchronized, and decomposed into biological feature vectors for ML consumption.
Six TensorFlow.js neural networks compute wellness scores from feature vectors. Models train on synthetic GI data and improve with real sessions.
Structured ML outputs fed to Llama 3.3 70B via DigestIQ Intelligence API. Converts scores into calm, scientifically responsible wellness narratives.
The complete taxonomy of measurable biological signals processed by the DigestIQ engine.
Watch six neural networks train in real-time on synthetic GI physiology data — right in your browser.
Ready to train · 6 models · Synthetic GI dataset
Run a live session through the ML pipeline and watch all six engines compute your scores in real time.
Living 3D representations of your digestive intelligence. Drag to rotate. Scroll to zoom. Click a score to explore.
Structured ML scores narrated into calm, scientifically responsible wellness insights by DigestIQ Intelligence.
DigestIQ Intelligence Engine processes your ML scores and generates a personalized wellness observation.