We provide research-driven consulting focused on understanding human
performance, behavior, and risk through data. Our work integrates
ergonomics, biomechanics, machine learning, and human factors research
to help organizations make better technical and operational decisions.
Many teams collect large amounts of data but lack the specialized
expertise needed to translate it into reliable insight. We help
organizations design studies, analyze complex datasets, build
predictive models, and turn results into practical recommendations that
can guide real-world decisions.
We help organizations quantify physical workload, biomechanical demands, and injury risk in real-world environments such as workplaces, sports settings, and clinical contexts. This work is often used to support safety programs, operational improvements, product design, and research initiatives.
Workplace injury risk analysis (WMSD assessment)
Physical Demands Analysis (PDA / PDD)
Biomechanical, psychosocial, and metabolic workload modeling
Cumulative fatigue and load exposure analysis
Video-based task and movement analysis
We conduct research that helps organizations understand how people interact with systems, tools, and technology. The goal is to identify usability challenges, reduce friction, and improve product performance in real operating conditions. Our approach combines qualitative research with quantitative analysis to produce clear, evidence-based recommendations.
UX research studies and usability testing
Human factors evaluations
Cognitive workload and task demand analysis
Qualitative research and thematic analysis
Data-driven product and interface recommendations
We develop applied machine learning and statistical models designed for complex real-world datasets, including health, behavioral, operational, and sensor-based data. These models are used to identify patterns, predict outcomes, and support decision-making in research and industry environments.
Predictive modeling for health, risk, and performance
Event detection and classification models
Time-series analysis for behavioral and sensor data
Model validation and performance evaluation
Optimization of existing ML systems
We help organizations extract meaningful insight from wearable devices and biosensor data to better understand fatigue, workload, capacity, and performance. This work supports research programs, product validation, and performance analytics initiatives.
Wearable sensor data analysis
Fatigue, workload, and capacity modeling
Validation of wearable technologies
Signal processing and data quality assessment
Integration of wearable data into analytics systems
Working Together
We work with organizations that need analysis of human performance,
behaviour, and risk data. This includes companies, research institutions,
startups, and teams developing new technologies related to human
performance, health, and safety. If you're interested in discussing a
project or exploring how I can support your team, please visit the contact
page.