Industries We Serve
We work across sectors, but the thread is constant: a real statistical question, data that needs handling with care, and a deliverable someone will rely on. Here is where our R work most often lands, and what it typically looks like.
Where we work
Sectors & use cases
Healthcare & clinical research
Trial design and sample-size planning, survival and time-to-event analysis, mixed-effects models for repeated measures, and CONSORT-friendly figures. Our methodology was forged in health-sciences research, so clinical rigour is the default, not an add-on. See related work →
Academia & theses
End-to-end support for postgraduate and faculty research: study design consultation, the analysis itself, and APA-ready tables and figures generated straight from R. We help prepare methods sections and answer reviewers’ statistical questions during revision. Statistical analysis service →
Life sciences & biostatistics
Study analysis for labs and research groups, from dose–response modelling to high-dimensional data — with the assumption diagnostics and reproducibility that specialised clinical work demands. Clinical R toolkit →
Public sector & NGOs
Reproducible reporting pipelines and dashboards for organisations that report the same indicators on a schedule. One parameterised template replaces dozens of hand-built reports, and everything is auditable code you own. Reproducible reporting →
Product & analytics teams
Shiny applications that turn spreadsheets into living decision-support tools, plus internal R packages that stop analysis logic drifting between projects. Deployed to your infrastructure, with authentication and scheduled refreshes. Shiny & package work →
Teams adopting R
Moving off SPSS, Stata or ad-hoc Excel? We migrate existing analyses into clean, reproducible R pipelines and run hands-on training tailored to your own data, so your team owns the workflow afterwards. Training & workshops →
Energy & utilities
Consumption and load-profile analysis, time-series forecasting, tariff and efficiency modelling, and interactive dashboards for metering data. We turn raw meter and market data into reproducible reports and Shiny tools operations teams actually use. Energy analytics in R →
Not sure your field fits? It probably does — the statistics travel. Tell us your question and we’ll tell you honestly whether we can help.