Drug development stuck at 12 years industry-wide, with no full view across trial sites. AI agents now automate workflows to speed approval.
A 100-year-old global pharmaceutical company with 69,000 employees, producing 50% of the world's insulin, where industry-wide drug development has stayed stuck at roughly 12 years from candidate nomination to launch for over a decade.
Clinical development spans a maze of domains and constantly-changing regulations, with no single career spanning the full end-to-end value chain....
“Without Process Intelligence, Enterprise AI at scale is hopeful thinking.”
Pharmaceutical company specializing in diabetes, obesity, and rare blood disorders.
Process mining and intelligence platform for optimizing business operations.
Novo Nordisk's Clinical trial operations is part of this use case:
Related implementations across industries and use cases
A maze of disconnected systems obscured global trial visibility. Now, a digital twin guides AI to automate heavily regulated workflows.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
A maze of disconnected systems obscured global trial visibility. Now, a digital twin guides AI to automate heavily regulated workflows.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
Paper recipes took months to digitize; each new regulation meant combing the library for impact. AI agents do both now—engineers review.
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.
Drug development stuck at 12 years industry-wide, with no full view across trial sites. AI agents now automate workflows to speed approval.
A 100-year-old global pharmaceutical company with 69,000 employees, producing 50% of the world's insulin, where industry-wide drug development has stayed stuck at roughly 12 years from candidate nomination to launch for over a decade.
Clinical development spans a maze of domains and constantly-changing regulations, with no single career spanning the full end-to-end value chain....
“Without Process Intelligence, Enterprise AI at scale is hopeful thinking.”
Pharmaceutical company specializing in diabetes, obesity, and rare blood disorders.
Process mining and intelligence platform for optimizing business operations.
Novo Nordisk's Clinical trial operations is part of this use case:
Related implementations across industries and use cases
A maze of disconnected systems obscured global trial visibility. Now, a digital twin guides AI to automate heavily regulated workflows.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
A maze of disconnected systems obscured global trial visibility. Now, a digital twin guides AI to automate heavily regulated workflows.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
Paper recipes took months to digitize; each new regulation meant combing the library for impact. AI agents do both now—engineers review.
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.