Clinical Trial Apps in Hours, not Weeks

TealFlow is a browser-based platform that combines an agentic AI layer with the open-source {teal} R/Shiny framework (developed by Roche & Genentech) to rapidly build clinical trial analysis apps. Users simply describe their goal (e.g., "survival analysis") and upload data; the AI selects and configures the appropriate {teal} modules, generates interactive apps, full Shiny code, and visual outputs — all in minutes. It preserves compliance and reproducibility by only using trusted modules and executing within a secure, isolated container.

Clinical teams face long backlogs and dependency on developers, often waiting several months for compliant TFLs, clinical reports and data apps. TealFlow enables rapid prototyping — idea to POC in minutes, full app in hours — letting data scientists and biostatisticians explore and iterate independently while freeing developers for high-value work. This not only speeds insight generation, but also drives efficiency, accelerates filing timelines, and supports the strategic shift from SAS to R workflows.

The process is simple and secure:
Enter your goal (e.g., "add Kaplan-Meier survival plot" or simply “add Kaplan” – TealFlow will know what you meant!) and upload structured clinical datasets (like ADSL, ADTT, ADRS).

The AI reviews your intent and data context, then determines the right {teal} modules to use without inspecting your actual data. It only recognizes dataset names and expected formats, keeping your record-level data completely private and secure.

You approve or adjust these suggestions; the platform then uses agentic AI to modify files inside an isolated container and builds the app providing interactive output plus review-ready code.
‍The AI cannot access anything outside that container, making sure your data remains secure. You can iterate, export the Shiny app, share, or publish to GitHub or Posit Connect for further development.

TealFlow blends:Generative AI (powered by Claude Code) for intelligent module selection and app scaffolding.The {teal} R/Shiny framework, known for modular, GxP-ready clinical trial app building PharmaverseSecure, containerized execution to ensure reproducibility and compliance.

TealFlow is built atop the {teal} framework. Because the specialized AI agent is trained on, and chooses from pre-built, vetted modules, there’s minimal risk of hallucinations or non-compliant code. The containerized environment ensures traceability, version control, and that generated apps remain GxP-aligned and regulatory-ready.

Generative AI in clinical trials, when used with oversight and validated processes, can significantly boost productivity while maintaining compliance. Lower-risk tasks like data app generation typically require less scrutiny, provided there's human-in-the-loop review — as with TealFlow — and transparency about sources and module choices. TealFlow’s design ensures only trusted {teal} modules are used and outputs are auditable.