Overview

One Platform. Six Modules. Zero Markers.

We are leaders in markerless biomechanics and motion analysis. The BioLab Suite enables deep, precise analysis of the human body without invasive markers, suits, or sensors. Our multidisciplinary team of biomechanics experts is ready to help you reach your clinical, athletic, or research goals.

Clinical Software

BIOGAIT gait laboratory
Clinical

BIOGAIT — Gait Analysis Laboratory

AI-powered gait analysis for orthopedists, physiotherapists, and rehabilitation clinics. Generates patient-ready reports with cadence, stride length, joint ranges, and trajectory visualization in minutes.

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BIOPOSTURE postural analysis
Clinical

BIOPOSTURE — Postural Analysis

Markerless postural analysis with kyphosis-lordosis, scoliosis, Q-angle, and pronation measurements. Adaptable to any clinical space.

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Sports Software

BIORUN running biomechanics
Sports

BIORUN

Running biomechanics laboratory for coaches, performance directors, and elite training centers.

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BIOBIKE bike fitting
Sports

BIOBIKE

Markerless bike fitting laboratory for cycling stores, sports institutions, and certified bikefitters.

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BIOFREE free movement
Sports

BIOFREE

Biomechanics laboratory for non-cyclic sports and free movements. Capture any gesture in dual planes.

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Research & Motion Capture

BIOTRACK motion capture
Research

BIOTRACK — Motion Capture System

Single-camera markerless motion capture for video game animation, virtual reality, and biomechanical research. Exports joint coordinates to standard animation pipelines.

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BIOFREE research module
Research

BIOFREE — Free Movement Research

For biomechanics, ergonomics, and sports science researchers who need flexible, dual-plane motion capture without the constraints of marker-based systems.

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Scientific Validation

Peer-Reviewed Research on Markerless Motion Capture

The BioLab Suite is built on AI and neural network methods validated by independent peer-reviewed studies. Below are key references researchers and clinicians can review.

Selected References

  1. Two-dimensional video-based analysis of human gait using pose estimation
  2. Verification of validity of gait analysis systems during treadmill walking and running using human pose tracking algorithms
  3. Artificial Intelligence-Assisted motion capture for medical applications: a comparative study between markerless and passive marker motion capture
  4. Verification of reliability and validity of motion analysis systems during bilateral squat using human pose tracking algorithm
  5. The accuracy of several pose estimation methods for 3D joint centre localisation
  6. Deep neural networks enable quantitative movement analysis using single-camera videos

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Find the Right Module for Your Lab

Tell us about your application — clinical, sports, or research — and we’ll recommend the BioLab configuration that fits your space, budget, and workflow.