Movaterra turns socio-economic, survey, and organisational data into defensible risk analytics — powered by machine learning and grounded in fifteen years of published research on sustainability, compliance, and responsible business.
All remote, all defined-scope, all delivered on the Movaterra engine by the researchers who built the methods. We compute, we report, and we can deliver training workshops on our methods — what we don't do is facilitate change programmes or sell open-ended hours of advice.
A single, defined-scope assessment of where your organisation stands — scored, benchmarked, and roadmapped.
Scheduled measurement waves with trend tracking — for organisations that need evidence over time, not a snapshot.
Predictive models built on your data — the engagement model behind the UN's workforce risk tool.
Every engagement follows the same pipeline, running on our own engine or on your systems — which is why the second wave is always faster than the first, and your results stay comparable across years.
Defined scope, instruments, deliverables, and timeline — agreed before we start. You know exactly what you get.
We deploy validated surveys or receive your data through secure channels. Anonymity thresholds are enforced in the engine — as code, not as a promise.
Statistically validated scoring produces composite indices with sub-factor breakdowns by unit, site, and cohort. ML risk modelling where longitudinal data allows.
An interactive dashboard plus board- and regulator-ready reports. Re-runnable as a measurement wave — evidence with a date on it.
One engine, every engagement. All delivery runs on the Movaterra engine — the same tested codebase applying peer-reviewed, published methods, growing sharper with every project. Our founder designed the United Nations' first predictive workforce risk model; the same discipline runs through everything we take on.
Our research →Our methods are grounded in over a decade of peer-reviewed science, funded by leading research councils and deployed at international institutional scale. We publish what we build, and we build only what the evidence supports.
Movaterra's methods are built on peer-reviewed research authored by our founder and collaborators — published, public, and open to scrutiny. A selection below; the full record lives on ORCID and Google Scholar.
Applying machine learning to underemployment data to surface the workers invisible to headline labour statistics.
Read article → Safety Science · 2023An analysis of CSR and ESG instruments and their capacity to drive genuine sustainability in the workforce.
Read paper → Social Science & Medicine · 2022Quantitative analysis of how European legislation shapes organisational action plans, working conditions, and work-related stress.
Read paper → Sociology · 2025Gender, class, and the domestic division of labour through turbulent times.
Read paper → British Journal of Sociology · 2024Intersecting inequalities in UK working lives amid economic turbulence.
Read paper → Springer · 2021 · Edited bookGender, health, safety and wellbeing across organisational and policy contexts.
View book → Safety Science · 2017A comparison of non-economic loss in Chile and England.
Read paper → UK Parliament · 2024 · PolicyWritten evidence to the Business and Trade Committee, from the ESRC underemployment research programme.
Read evidence → The Underemployment Project · 2023 · DataAn open data portal mapping time-, skills-, and wage-based underemployment in the UK.
Explore the data →Movaterra exists to answer one question: how do you make an organisation's impact on people measurable — rigorously enough to change decisions?
Movaterra works across four disciplines: management science to understand organisations; socio-economic, survey, and organisational data to see them clearly; sustainability and compliance expertise to know what matters; and machine learning to make it all operational. Every engagement is delivered by the researchers who built the methods.
Luis designed the United Nations' first predictive workforce risk model, now scaling across agencies. He holds a PhD in Management from the University of Nottingham, sits on ISO and BSI standards committees, and serves on the editorial board of Safety Science. His combination of management science, environmental law, human resources, psychology, and data science is what Movaterra is built on.
Tell us what you need to measure and what data you have — or don't have; deploying the instruments is our job. You'll receive a scoped proposal covering instrument, timeline, and deliverables.
Defensible social and governance risk analytics, delivered.
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