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
Advisors spent days digging through 100-page crop labels. Now, a specialized AI surfaces precise, source-linked agronomic guidance.
A global agricultural enterprise managing complex crop protection decisions where treatments vary drastically by region, crop type, and seasonal regulations.
Frontline teams spent hours or days manually digging through complex crop protection labels that often exceeded 100 pages to answer specific field...
“Crop protection isn’t just about answering a question—it’s about answering it precisely, in the right context, under the right conditions. That’s why general-purpose models weren’t cutting it.”
Life sciences company producing healthcare and agricultural products.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Bayer's Document search 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.
Paper recipes took months to digitize; each new regulation meant combing the library for impact. AI agents do both now—engineers review.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
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.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
Advisors spent days digging through 100-page crop labels. Now, a specialized AI surfaces precise, source-linked agronomic guidance.
A global agricultural enterprise managing complex crop protection decisions where treatments vary drastically by region, crop type, and seasonal regulations.
Frontline teams spent hours or days manually digging through complex crop protection labels that often exceeded 100 pages to answer specific field...
“Crop protection isn’t just about answering a question—it’s about answering it precisely, in the right context, under the right conditions. That’s why general-purpose models weren’t cutting it.”
Life sciences company producing healthcare and agricultural products.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Bayer's Document search 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.
Paper recipes took months to digitize; each new regulation meant combing the library for impact. AI agents do both now—engineers review.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
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.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.