Engineering the Zero-Friction Gym Floor.
Having established native multi-platform runtimes and enterprise branch governance, we are now building the fully autonomous physical floor: edge camera computer vision, predictive retention neural engines, smartwatch ambient displays, and localized biometric enclaves.
Product Wave Horizons
Q3 2026 Release
Edge Camera Vision Auto Check-In
Zero-contact doorway camera recognition. Members walk past front desk camera to check in automatically within 180 milliseconds.
Apple Watch & Wear OS Live Display
Real-time workout heart rate, active set timers, and auto rep counting pushed straight to member smartwatches on the gym floor.
Q4 2026 Release
Neural Churn Risk Early Warning
ML model analyzes check-in frequency drops and workout duration shifts 14 days before a member decides to drop out.
Offline Turnstile & Relay Controller
ESP32 hardware micro-controller bridge for automatic door turnstiles and locker access with offline local relay fallback.
2027 Horizon
Real-Time Squat & Deadlift Pose Coach
On-device phone camera pose estimation calculating bar path trajectories, squat depth degrees, and lumbar flexion alerts in real time.
Edge AI Pose Estimation Engine
Experience our on-device computer vision engine running directly in WebAssembly. Analyzes biomechanical joint angles and squat depth degrees at 60 FPS locally without cloud latency.