Movement,
Measured at
the Source
TracME combines patented soft-sensor textiles with real-time AI to turn your body's physics into actionable coaching. No cameras. No guesswork. Just data.
TracSil™ —
Soft Flexible Sensor
Most fitness wearables measure acceleration from the wrist — a proxy that loses precision the moment you stop moving in a straight line. TracSil™ is embedded directly at the joint, capturing how far and how accurately you're bending, in real time.
Advanced Motion Recognition for Posture Correction
Notice how the graph waves in response to the bending? TracSil™ sensors detect even the most minute motions. This is what's happening inside the sleeve — you won't see this graph in the app, but it's exactly what's powering every rep you track.
Check out the video →Built on real-world data, not lab assumptions
TracME's accuracy numbers come from actual field collection — not controlled lab conditions. Datasets are gathered at running races, fitness expos, and university research sessions across multiple countries.
Each event adds to the model. The more data we collect, the tighter the accuracy window gets. This is active, ongoing validation — not a one-time benchmark.
DATA LAB
Why TracME's AI
doesn't hallucinate
Most AI generates responses from general patterns — which means it can confidently say something wrong. TracME is different.
"How was my set?"
+ patterns
Keep your back straight."
"How was my set?"
range of motion
first, then responds
your range. Left side weaker."
TracME vs. other approaches
Not all movement tracking is equal. The method of data collection fundamentally determines what's measurable — and what's just a guess.
| Feature | TracME | Smartwatch / Wristband | Camera-Based Tracking |
|---|---|---|---|
| Data Source | Direct joint angle (TracSil™) | Wrist accelerometer (indirect) | Visual pose estimation (indirect) |
| Angle Accuracy | ✓ 5–10° precision | ✗ Not angle-based | ~ 10–20°+ depending on setup |
| Real-Time Form Feedback | ✓ Per-rep, instant | ✗ Not available | ~ Requires good lighting & angle |
| Left-Right Imbalance Detection | ✓ Both limbs simultaneously | ✗ Single wrist only | ~ Possible but unstable |
| Camera / Setup Required | ✓ None | ✓ None | ✗ Yes — positioning critical |
| Works for Stationary Exercises | ✓ Optimized for it | ✗ Limited (no GPS movement) | ~ Yes, with setup |
| Privacy | ✓ No video, no images | ✓ No video | ✗ Video recording required |
| AI Coaching | ✓ Grounded in sensor data (RAG) | ~ Generic recommendations | ~ Varies by platform |
Where TracME fits
Precise joint angle data opens up applications well beyond consumer fitness.
Personal Fitness
Real-time form correction and AI coaching for independent training — without a trainer present. Works for strength, mobility, and rehab exercises at home or in the gym.
Clinical & Rehabilitation
Quantifiable range-of-motion data per session. Track joint angle recovery over time with objective, sensor-based measurements — not self-report or visual estimation.
Research & Data Collection
Field-deployable joint tracking at scale. TracME's Data Lab program collects validated movement datasets at sports events, universities, and clinical settings worldwide.
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