Translating technical docs took weeks. Now, AI agents mimic human teams to draft, edit, and verify clinical reports in minutes.
A global biotechnology company that recently tripled in size, managing vast amounts of complex scientific data for next-generation antibody therapies.
Rapid growth created operational bottlenecks, where manual tasks like translating technical documents and verifying medical references took weeks to...
“Genmab’s ambition is to integrate AI into everything we do. We anticipated AI to contribute significantly to the quality of our science, decision making, and efficiency in bringing medicines to patients.”
Biotechnology firm developing antibody-based therapeutics for cancer treatment.
AI research and deployment company developing generative models and tools.
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Writers spent weeks sifting through data to draft reports. AI now generates a 14-section first draft in minutes for review.
Scaling required 100,000 employees. Today, staff use 750 custom GPTs to automate workflows from dose verification to contract review.
Teams waited weeks for agencies or used unvetted tools. Secure AI now translates full documents in 2 minutes.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.