Advancing Movement Science — Anywhere
Scale movement science beyond the lab. Capture real-world biomechanical data and unlock new AI-driven insights.
Human movement research has long been limited by laboratory infrastructure, expensive equipment, and the complexity of analyzing large datasets. AvaSci removes these barriers, transforming a standard iPad into a portable motion capture laboratory.
Research Capabilities
- Capture high-quality biomechanical data using a portable iPad-based system
- Conduct research in clinics, training centers, workplaces, or field environments
- Eliminate dependency on fixed laboratory infrastructure
- Collect natural, real-world movement data outside controlled labs
AI-Driven Statistical Analysis and Discovery
Large biomechanical datasets often require extensive manual analysis and statistical modeling. AvaSci accelerates the research process through integrated AI-powered statistical and biomechanical analysis tools, allowing researchers to rapidly analyze large volumes of motion data, detect patterns across populations, and generate new hypotheses.
- Automated statistical analysis of large biomechanical datasets
- AI-based classification of movement patterns and anomalies
- Identification of biomechanical correlations and trends
- Rapid discovery of new movement insights across populations
Traditional lab-based research requiring specialized equipment and trained operators for precision measurement
Traditional marker-based motion capture setup in a gait laboratory for biomechanical data collection
High-Throughput Data Collection
Marker-based motion capture systems require reflective markers, lengthy setup, and trained technicians. AvaSci eliminates these barriers while maintaining highly accurate motion measurement. Using a simple iPad-based capture system, researchers can rapidly collect motion data from multiple participants in a single session.
- Comparable accuracy to traditional marker-based systems
- No markers, suits, or complex calibration required
- Rapid multi-subject data collection
- Capture natural movement without marker interference
Platform Capabilities
High-Volume Data Capture
Collect thousands of motion datasets efficiently across populations and environments.
AI Movement Classification
Machine learning algorithms classify and categorize movement patterns automatically.
Normative Datasets
Build and contribute to normative movement databases for population-level research.
Multi-Site Scalability
Deploy consistent data collection protocols across multiple research sites worldwide.
Configurable Collection
Easily customize data collection parameters to match your specific study protocols.
AI-Driven Insights
Leverage advanced analytics to uncover patterns and correlations in movement data.
Ideal Partners
Universities
Academic institutions conducting biomechanics, kinesiology, and sports science research.
Medical Research
Organizations studying musculoskeletal health, injury prevention, and rehabilitation.
Orthopedic Research
Groups investigating joint mechanics, surgical outcomes, and recovery pathways.
AI Collaborators
Researchers developing next-generation AI models trained on human movement data.
"Capture Anywhere. Analyze Faster. Discover More."
Ready to Advance Movement Science?
Partner with AvaSci to capture real-world biomechanical data and unlock new AI-driven insights.