Population‑Level Anonymised Data Access
Aggregated, de-identified assessment data across thousands of participants and dozens of industry sectors, available to approved academic and institutional research partners.
BalanceFlo for
Researchers
Studying ergonomic risk at population scale usually means choosing between small, hand-collected samples or unvalidated survey tools. BalanceFlo gives you a validated, standardised assessment platform already deployed across thousands of real working environments - so your study starts with data, not data collection infrastructure.
KEY FEATURES
BalanceFlo Products & Features for Researchers
Validated Assessment Frameworks
REBA, RULA, NIOSH, OWAS, and RAPP scoring, generated by AI models validated against certified ergonomist ratings - giving your study a defensible, peer-reviewable methodology.
API & Structured Data Export
Programmatic access to assessment data in structured formats, built for direct import into statistical software and analysis pipelines.
Custom Cohort Deployment
Recruit and assess your own study participants through the BalanceFlo platform, using the same validated instruments as the wider population dataset.
Longitudinal Tracking
Follow the same participants or sites across multiple time points to study intervention effects, workplace redesigns, or training outcomes.
Academic Partnership Terms
Structured licensing and data-use agreements designed for university and institutional research partners, including co-authorship and publication terms.
De‑Identification & Data Governance
Built-in anonymisation and data governance controls that meet institutional review board and ethics committee requirements for human-subjects research.
Cross‑Sector Benchmarking
Compare assessment findings against population data spanning 40+ industry sectors to contextualise study results against broader occupational trends.
Researchers
12,000+
Validated assessments completed on the BalanceFlo platform across office and industrial settings - a population dataset most single studies cannot independently collect
95%+
Agreement between BalanceFlo's AI-scored assessments and certified ergonomist ratings across REBA, RULA, NIOSH, and OWAS frameworks in validation testing
6 weeks
Typical time saved per study by using an existing validated assessment pipeline instead of building bespoke data collection tooling
40+
Industry sectors represented in BalanceFlo's assessment data, enabling cross-sector and comparative population studies
THE PROBLEM
Why Current Research Tools Fall Short
Manual observation doesn't scale
Observational studies using trained raters are accurate but limited to small samples - recruiting and training enough observers for population-level work is rarely feasible within a typical research budget
Generic survey tools lack validation
Off-the-shelf survey platforms weren't built against recognised ergonomic frameworks, making it difficult to defend findings against peer review or compare results across studies
No existing population dataset
Most research teams start from zero, recruiting and assessing participants from scratch - rather than drawing on an existing, continuously growing dataset
Data collection tools consume the budget
Building or licensing bespoke data capture instruments for a single study diverts funding away from analysis, dissemination, and follow-on work
Difficult to replicate or extend studies
Bespoke, one-off tools make it hard for other research teams to replicate findings or extend a study longitudinally using the same validated methodology
What Research Partners Gain
Access to a large, validated dataset
A continuously growing population of assessment data that would take years and significant funding to collect independently
Faster time to publication
Skip the instrument-building and data-collection phase and move directly into analysis, cutting months off a typical study timeline
Defensible, peer-reviewable methodology
Findings built on frameworks already validated against certified ergonomist ratings, strengthening the case for publication and grant reporting
Co-authored publication opportunities
Academic partnership terms that support joint publication and shared credit on research arising from platform data
Ongoing longitudinal capability
A stable platform for multi-year or repeated-measures studies, without needing to rebuild data collection tooling for each phase
HOW IT WORKS
How BalanceFlo Supports Your Research
BalanceFlo gives research partners access to a validated assessment platform and the population-level data it generates - so studies can focus on analysis and publication rather than instrument-building.
1. Access an Existing Validated Assessment Framework
BalanceFlo's AI-scored photo and video assessments are built on recognised, peer-reviewable frameworks - REBA, RULA, NIOSH, OWAS - validated against certified ergonomist ratings. Your study inherits a defensible methodology instead of building and validating one from scratch.
2. Draw on Population-Level, Anonymised Data
Research partners can access anonymised, aggregated assessment data spanning thousands of participants across dozens of industry sectors - enabling population-level and cross-sector studies that would be impractical to collect independently.
3. Deploy the Platform for Your Own Study Cohort
Recruit and assess your own study participants directly through the BalanceFlo platform, using the same validated instruments as the wider dataset - giving you a controlled cohort that remains comparable to population benchmarks.
4. Validate Interventions With Longitudinal Tracking
Track the same participants or sites over time to measure the effect of an ergonomic intervention, workplace redesign, or training programme - with consistent, repeatable assessment methodology at every time point.
5. Export Data Into Your Own Analysis Pipeline
Pull assessment data via API or structured export directly into the statistical or analysis tools your research team already uses - no manual re-entry or format conversion required.
COMPARISON
Why BalanceFlo - and Not Something Else
Validated against certified ergonomist ratings
Manual Observational Studies
Generic Survey Tools
Scales to population-level samples
Manual Observational Studies
Generic Survey ToolsPartial
Standardised across REBA/RULA/NIOSH/OWAS
Manual Observational StudiesPartial
Generic Survey Tools
Existing dataset available for secondary analysis
Manual Observational Studies
Generic Survey Tools
API / structured data export
Manual Observational Studies
Generic Survey ToolsPartial
Longitudinal tracking built in
Manual Observational StudiesPartial
Generic Survey ToolsPartial
Cross-sector benchmarking data
Manual Observational Studies
Generic Survey Tools
Academic partnership / co-authorship terms
Manual Observational Studies
Generic Survey Tools
Built-in de-identification & governance controls
Manual Observational StudiesN/A
Generic Survey ToolsPartial
