We lead with the work clients hire us for most: production-grade R Shiny applications and drug data integration built for real research workflows.
Production-grade interfaces, integrated data, and maintained packages.
We build production-grade interfaces for research and analytics teams in R Shiny, Streamlit, or Dash. Our R Shiny work builds on periscopeVerse, our own reusable framework already powering production applications like Coverse, with Python support on the same roadmap.
dbparser Pro integrates the databases you're already licensed to use (DrugBank, ChEMBL, and others) into one clean, analysis-ready foundation for dashboards and research pipelines. Built on dbparser, our rOpenSci-reviewed, JOSS-published open-source package.
We design, build, and maintain R packages, from internal tools to public, peer-reviewed CRAN packages. Our own open-source work sets the standard: dbparser is rOpenSci-reviewed, JOSS-published, and cited in 10+ peer-reviewed studies; covid19dbcand is featured in the CRAN Epidemiology Task View.
Publication-ready outputs and hands-on help for research teams.
We help research teams get the outputs their papers actually need: publication-ready visualizations, statistical tables, and analysis, built through our existing tools or a custom app built for the purpose. We don’t write or submit the manuscript itself. We make sure the data behind it holds up and looks the way a reviewer expects.
Hands-on support for academic and PhD research, combining database access, LLM tooling, and our own data infrastructure to help research groups move faster on their actual research questions, not the tooling around them.