Paper recipes took months to digitize; each new regulation meant combing the library for impact. AI agents do both now—engineers review.
A global pharmaceutical manufacturing software provider whose PAS-X MES supports approximately 1,500 active systems across pharma, biotech, and cell and gene therapy environments, representing roughly a quarter of the global pharma MES market.
More than 70% of pharmaceutical production documentation remains paper-based, and digitizing a single complex recipe, which can span thousands of...
“By building on Microsoft Azure, we weren’t simply digitalizing documents. We were creating the foundation for an intelligent manufacturing platform. Once recipe information becomes structured and trusted, customers can begin interacting with it in entirely new ways.”
Industrial technology solutions for supply chain, pharma, and manufacturing.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Körber's Recipe management 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.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Advisors spent days digging through 100-page crop labels. Now, a specialized AI surfaces precise, source-linked agronomic guidance.
Manually coding product packages took four minutes each. Now, AI extracts and validates details, scaling globally without local staff.
Brokers were bottlenecked manually re-entering data across systems. Now, AI reads incoming paperwork and runs real-time compliance checks.
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.
Paper recipes took months to digitize; each new regulation meant combing the library for impact. AI agents do both now—engineers review.
A global pharmaceutical manufacturing software provider whose PAS-X MES supports approximately 1,500 active systems across pharma, biotech, and cell and gene therapy environments, representing roughly a quarter of the global pharma MES market.
More than 70% of pharmaceutical production documentation remains paper-based, and digitizing a single complex recipe, which can span thousands of...
“By building on Microsoft Azure, we weren’t simply digitalizing documents. We were creating the foundation for an intelligent manufacturing platform. Once recipe information becomes structured and trusted, customers can begin interacting with it in entirely new ways.”
Industrial technology solutions for supply chain, pharma, and manufacturing.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Körber's Recipe management 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.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Advisors spent days digging through 100-page crop labels. Now, a specialized AI surfaces precise, source-linked agronomic guidance.
Manually coding product packages took four minutes each. Now, AI extracts and validates details, scaling globally without local staff.
Brokers were bottlenecked manually re-entering data across systems. Now, AI reads incoming paperwork and runs real-time compliance checks.
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.