Monitor. Optimize. Transcend.

We engineer the signal layer of the human body—advanced sensors and AI systems designed to understand, optimize, and elevate human performance.

Human Signals Physiological Intelligence Human Performance Intelligent Systems
The BioPulse Platform

Human signals decoded into real-time intelligence.

BioPulse captures signals generated by the human body and transforms them into continuous models that inform healthcare, human performance, robotics, and intelligent systems.

BioPulse Sensors
Mechanical
Physiological
Electrical
Cardiovascular
BioPulse AI Systems
Human System Intelligence
Continuous, real-time modeling
Applications
Healthcare
Athletes
Robotics
AI Systems
BioPulse Sensors
Mechanical Physiological Electrical Cardiovascular
BioPulse AI Systems
Human System Intelligence
Continuous, real-time modeling
Applications
Healthcare Athletes Robotics AI Systems
Solution

From proxies to direct muscle intelligence.

Traditional tools measure motion, electrical activation, or inertial movement. BioPulse introduces the missing layer: contraction-generated signals and real-time biomechanical intelligence.

Traditional External

Motion

Kinematics & joint angles

  • Great for form analysis
  • Indirect on muscle force
Surface Electrical

Activation

EMG-style muscle activity

  • Captures activation timing
  • Limited force resolution
Wearables Inertial

IMU

Acceleration + rotation

  • Portable movement capture
  • Indirect force estimation
Current Technology
BioPulse Solution
BioPulse Capture Stack Signals → Features → Models
Acoustic Sensing
Force Proxy
Force proxy Dynamics
Mechanical Sensing
Mechanical Deformation
Fatigue cues Regional mapping
Motion Context
Acceleration + rotation + phase
Gait phase Event alignment
Current Technology
Motion

Kinematics and joint angles

Activation

EMG-style muscle activity

IMU

Acceleration and rotation

The Missing Layer
BioPulse Solution
Direct Muscle Intelligence

BioPulse captures contraction-generated signals and converts them into real-time biomechanical models.

Capture Stack
Acoustic Sensing

Force proxy and dynamics

Mechanical Sensing

Deformation and fatigue cues

Motion Context

Gait phase and event alignment

BioPulse Application

Sensor fusion translated into clinical action.

A clinical interface that converts multi-sensor muscle data into force, fatigue, compensation, and therapy recommendations.

Patient ACL Rehab • Week 6
Assessment Single-leg squat
Sensor Fusion Sensor Array 1
Confidence 92%
Current Finding: Hamstring-dominant compensation pattern detected with delayed glute activation.
Recruitment

Hamstring-dominant strategy

Glute activation is delayed while hamstrings activate early.

Hamstrings
Glutes
Quads
Timing

Activation delay

Quad activation delayed by 42 ms relative to movement phase.

Target vs actual firing window
Compensation

Posterior chain overload

Secondary muscles compensating for reduced glute engagement.

Severity: Moderate
Imbalance

Left/Right asymmetry

11% imbalance detected during load phase.

Left 56% / Right 44%
Peak Force

82%

Stable output across repetitions.

Target threshold: 75%
Symmetry

89%

Reduced balance under fatigue.

Left 53% / Right 47%
Rate

Force Development

Slower contraction speed in final phase.

-18% vs baseline
Consistency

Drop-off: 18%

Force decreases across repeated loading cycles.

Rep-to-rep decline
Status Moderate fatigue
Action Reduce intensity
Recovery 2 min low intensity
Fatigue Index
67%
Fatigue
Endurance

Reduced capacity

Fatigue onset occurs earlier than baseline.

Recovery

68% Ready

Partial recovery detected between cycles.

AI Recommendation
Reduce intensity
Posterior chain fatigue rising
Activate glutes
Improve recruitment pattern
Recovery interval
2 minutes low intensity
Session Summary
Load Balance89%
Asymmetry11%
Progress+6%
• Real-time force estimation
• Fatigue progression tracking
• Compensation detection
• AI-guided therapy decisions
Applications

BioPulse unlocks intelligence across human systems.

A signal foundation that scales from biomechanics today to broader biophysical domains over time.

Healthcare Continuous monitoring

Continuous biophysical insight for clinics.

Track internal signal changes over time to support preventative care, rehabilitation, and individualized progress monitoring.

Use cases
Rehab • Recovery • Longitudinal tracking
Value
Objective signal trends, not snapshots
Human Performance Readiness & load

Real-time feedback for training decisions.

Understand fatigue, load distribution, and performance patterns with signals captured directly from the body—built for athletes and coaches.

Use cases
Readiness • Technique • Injury risk signals
Value
More actionable than external metrics alone
Robotics Human-like control

Signals that teach machines how humans move.

Provide a richer training and calibration layer for robotics and simulation by grounding motion in internal human signals.

Use cases
Soft robotics • Control tuning • Simulation
Value
More realistic actuation + adaptation signals
AI Systems Signal layer for models

A biophysical signal foundation for next-gen AI.

Unlock better model understanding of physiology and motion by adding a direct human signal channel to training and inference.

Use cases
Model training • Personalization • Digital humans
Value
Higher-fidelity inputs for prediction/control