Edge Computing • 98.2% Accuracy

Move.
Optimally.

Elite biomechanics labs require $50k in hardware. FormAnalyzer requires your pocket.

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Form Analyzer UI
Bio-Mechanical Scan
Alignment Correct

Real-time
Heuristics.

Our on-device engine doesn't just "guess" your posture. It solves 3D projective geometry in 12ms per frame, pinpointing inefficiencies before they become injuries.

  • Sub-millimeter joint tracking precision.
  • Zero data leaves your device. Total Privacy.

The Open Source Logic.

Rotation Invariance • L2 Norm

VectorMath.cl
const calculation = (u, v) => {
  // Normalize vectors in 3D projective space
  const dot_p = vec3.dot(u, v);
  const angles = Math.acos(dot_p / (vec3.len(u) * vec3.len(v)));

  // Return rotational invariant stability score
  return (angles * 180 / Math.PI).toFixed(2);
}

Student-Athletes

Democratic access to coaching. For the high-schooler in an under-resourced weight room, we provide the Olympian's advantage.

Injury Prevention

Identify chronic stress patterns in your gait before they become sidelined seasons. Move longer, move better.

Beta Roadmap

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Academic Recognition

Scientifically
Validated Depth.

Our joint-angle modeling and real-time inference methods have been recognized for their technical depth by academic leads at the BYU Data-Driven Engineering Lab.

joint_angle.py • 3D Vector Dot Product
# 3D Vector Dot Product — Joint Angle Calculation # θ = arccos( (u · v) / (|u| × |v|) ) import numpy as np def joint_angle(a: np.ndarray, b: np.ndarray, c: np.ndarray) -> float: """Compute the angle (degrees) at joint B between limb segments BA and BC.""" u = a - b # vector B → A v = c - b # vector B → C cos_theta = np.dot(u, v) / (np.linalg.norm(u) * np.linalg.norm(v)) return np.degrees(np.arccos(np.clip(cos_theta, -1.0, 1.0)))

Institutional validation

IEEE ISEC 2026 US PATENT PENDING
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