Snowbird Analytics offers a visual clinical TLG builder, a compliance-aware agent harness for controlled clinical programming work, and a lightweight SCE setup package for teams that need version control, shared compute, and AI-assisted programming without enterprise overhead.
A point-and-click builder for clinical study tables, listings, and figures. Configure the analysis visually, and CLAVIS computes every statistic in open-source R, producing submission-style RTF alongside a QC XPT dataset and the full R program.
A compliance-aware workflow harness that wraps existing coding agents and gives them clinical statistical programming guardrails: role control, study context, source evidence, execution policy, validation artifacts, mismatch ledgers, and audit dashboards.
A practical Statistical Computational Environment setup for small teams: JupyterHub or Posit Workbench, Git-based version control, R-first clinical programming, optional SAS compatibility, and secure AI-assisted programming access.
Visual TLG building with open-source R computation and submission-style RTF plus QC XPT output.
Shared compute, R packages, Git, access control, and AI assistant connection.
Clinical programming rules, work orders, source evidence, validation, and audit artifacts.
ADaM datasets, TLGs, QC reports, mismatch ledgers, and reviewer dashboards.
Start with a focused review of current tooling, data locations, R/SAS requirements, and the first agent-assisted workflows worth automating.
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