Novo Nordisk
Clinical data analysis
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
- 50+ ideas evaluated per quarter vs 5-10 previously
Manual medical drafting and code translation bottlenecked clinical experts. Now, secure AI generates first drafts for human review.
A global biopharmaceutical organization developing treatments for severe neurological and immunological conditions must manage rapidly growing data volumes within a highly regulated environment.
Clinical teams faced heavy administrative burdens, from generating first drafts of medical documents to manually translating large volumes of...
“AI is an enabler for UCB. It helps us be more productive, but it also opens up completely new possibilities in research and development.”
Biopharmaceutical company focused on neurology and immunology treatments.
Enterprise software, cloud infrastructure, and consumer electronics platform.
UCB's Clinical research support is part of this use case:
Related implementations across industries and use cases
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Paper recipes took months to digitize; each new regulation meant combing the library for impact. AI agents do both now—engineers review.
Writers averaged 2.3 reports/year. Teams now generate 300-page regulatory drafts in minutes, cutting writing time by 90%.
Manual 3,000-page applications delayed deployments for years. Now, engineers use AI to draft and map them to regulations in seconds.
Every HCP response required manually searching regulated literature. Now agents surface cited answers from 3,100+ medical documents.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Manual medical drafting and code translation bottlenecked clinical experts. Now, secure AI generates first drafts for human review.
A global biopharmaceutical organization developing treatments for severe neurological and immunological conditions must manage rapidly growing data volumes within a highly regulated environment.
Clinical teams faced heavy administrative burdens, from generating first drafts of medical documents to manually translating large volumes of...
“AI is an enabler for UCB. It helps us be more productive, but it also opens up completely new possibilities in research and development.”
Biopharmaceutical company focused on neurology and immunology treatments.
Enterprise software, cloud infrastructure, and consumer electronics platform.
UCB's Clinical research support is part of this use case:
Related implementations across industries and use cases
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Paper recipes took months to digitize; each new regulation meant combing the library for impact. AI agents do both now—engineers review.
Writers averaged 2.3 reports/year. Teams now generate 300-page regulatory drafts in minutes, cutting writing time by 90%.
Manual 3,000-page applications delayed deployments for years. Now, engineers use AI to draft and map them to regulations in seconds.
Every HCP response required manually searching regulated literature. Now agents surface cited answers from 3,100+ medical documents.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.