Summary
Clymb team is excited to share that we've reached a new peak in TFL automation with our AI code generator, now part of TFL Designer. This tool transforms TFL shells and CDISC ARS metadata into ready-to-run SAS and R code in seconds, streamlining our coding process and enhancing consistency across large teams. In the demo, we show you how we can generate SAS code by selecting shells and using the AI Code Generator module, which processes the metadata and provides suggested code in seconds.
Latest Blogs
By Bhavin Busa and Colin Izzo, Co-Founders, Clymb Clinical
August 14, 2025
Clymb Clinical’s 3-year Anniversary
A meaningful milestone made possible by our incredible team, trusted clients, and collaborative partners.
By Shivani Gupta
June 17, 2025
Submify at PharmaSUG 2025: Reinventing Submission with a Dash of AI, Automation & Open-Source Solutions
Shivani Gupta’s latest article offers a behind-the-scenes look at her PharmaSUG 2025 experience and the launch of Submify. In her article, she explores how this AI-powered platform integrates CDISC CORE and automation to streamline submission workflows and improve data quality.
By Malan Bosman
April 30, 2025
TFL Designer + ARS = TFL Automation!
At PHUSE US Connect 2025, Malan Bosman shared how Clymb Clinical is automating the way TFLs (Tables, Figures, and Listings) are created. In this article, Malan walks through our step-by-step workflow using TFL Designer to build shells and capture metadata, CDISC’s ARS standard to structure results, and the siera R package to auto-generate R scripts. Check out how Clymb Clinical turn it all into polished reports (RTF/PDF) with just a few clicks. If you're in stats, programming, or clinical data, this is a must-read.
By The Clymb Team
February 25, 2025
Clymb Clinical & CDISC: Transforming Clinical Data Standards with the eTFL Portal
At Clymb Clinical, we’re passionate about making clinical research more efficient, automated, and standardized. That’s why we’ve collaborated with CDISC to launch the first ARS-compliant packages in the eTFL Portal—a game-changing step in modernizing how analysis results are managed and shared.
By Malan Bosman
November 18, 2024
From Shells to TFLs: Leveraging Industrial Engineering Principles for Automated and Efficient Clinical Data Outputs
As an Industrial Engineer working as Statistical Programmer in the CRO industry, I’ve often been asked the question (by others as well as myself), “How did you end up here?” The role of Statistical Programmer has the reputation of being defined by rigid rules and regulations, following strict industry guidelines to produce pre-defined dataset structures and Tables, Figures, and Listings (TFLs).
