How It Works — TracME
THE TECHNOLOGY BEHIND TRACME

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.

366+
Validated Datasets
250+
Exercises Supported
0
Cameras Needed
Core Material Technology

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 in the sleeve, capturing your body's movement signals in real time.

Think of it like this: A heart rate monitor on your wrist measures vibration from your pulse. An ECG places electrodes directly on your chest. TracME is the ECG of movement — data collected at the source, not inferred from a distance.
TracSil sensor live angle data
TracSil™ Live Data
🧵
Stretchable Silicone
Flexes with every joint movement — no rigid components, no discomfort.
📐
Precise Motion Sensing
Sensor sits close to the body's movement source — not at your wrist.
🚫
No Camera Required
Full tracking with zero video — private, portable, setup-free.
🫧
Washable Textile
Built into the sleeve fabric — durable enough for daily training.
AI Coaching

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.

Generic AI
User asks
"How was my set?"
→
AI
General training data
+ patterns
→
Response
"You probably did well.
Keep your back straight."
❌ Guesswork. No data about what you actually did.
TracME
User asks
"How was my set?"
→
TracSil™ Data
Every rep & range
of motion captured
→
RAG AI
Retrieves your data
first, then responds
→
Response
"Rep 3 & 7 dropped below
your range. Left side weaker."
✓ Grounded in what you actually did. No hallucination.
RAG stands for Retrieval-Augmented Generation. Before the AI generates any feedback, it retrieves your real sensor data — every rep, every range of motion captured by TracSil™. The AI is grounded in facts, not patterns. That's why TracME's coaching feels specific, not generic.
How We Compare

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 body sensor (TracSil™) Wrist accelerometer (indirect) Visual pose estimation (indirect)
Motion Accuracy ✓ High precision ✗ Limited accuracy ~ Depends on setup & lighting
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
Applications

Where TracME fits

Precise motion 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.

Home Training Gym Rehab Exercises
🏥

Clinical & Rehabilitation

Quantifiable range-of-motion data per session. Track movement and recovery progress over time with objective, sensor-based measurements — not self-report or visual estimation.

Physical Therapy Post-Op Recovery ROM Tracking
🔬

Research & Data Collection

Field-deployable motion tracking at scale. TracME's Data Lab program collects validated movement datasets at sports events, universities, and clinical settings worldwide.

Biomechanics Sports Science Wearable Research

Stay ahead of
what's next.

Get updates on TracME technology. data accuracy improvements, and new applications as we build.