Celegence says AI plus automation halved the time to write post-market surveillance documents.
Device and diagnostic makers must produce heavy EU MDR post-market surveillance documentation. Celegence launched CAPTIS Copilot, a cloud platform using pre-trained LLMs and human-feedback tuning. The release states AI combined with traditional automation cut PMS documentation writing time in half and improved consistency.
Celegence is a regulatory affairs and medical writing firm with a generative AI platform, used for CMC submission drafting and medical device compliance documents
This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.
Published by Celegence on its own site — read the original case study on biospace.com ↗
Note: Product launch release; result refers to Celegence's own writing team, no external customer.
Related use cases
- 01Kenvue piloted Celegence's CAPTIS generative AI to draft CMC Module 3 submission documents.
- 02OpenAI's dedicated healthcare vertical page/launch post.
- 03Frontier reasoning model built for biology, drug discovery and translational medicine; named qualified customers include Amgen, Moderna, Allen Institute, and Thermo Fisher Scientific.
- 04follow-up update to the life-sciences model.
- 05"How Amgen uses GPT-5": Amgen applies GPT-5/frontier models to help accelerate delivery of potential new therapies; found GPT-5 met scientific-accuracy standards.
- 06Moderna and OpenAI partner to accelerate development of treatments; ChatGPT Enterprise deployed to thousands of employees company-wide.