iTromsø · IBM, VC2
10 minutes per day — time spent reviewing potential stories
Independently reportedMedia & entertainment · Document processing · NLP · In production
Document processing
DelveInsight · 1Labs.ai
Vendor-reportedPharma & biotechIn productionEnterpriseLLM
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by 1labs.ai (vendor self-report). Checked against the source page on 2026-09-06. 2 of 2 figures below appear on that page word for word.
The problem
DelveInsight faced manual research workflows across PDFs and Excel files, taking hours to days to answer complex market questions, leading to fragmented intelligence, high analyst dependency, and IP risk.
What was deployed
- Vendor
- 1Labs.ai
- Products
- Market AI
- Models
- GPT-4, Claude
- Technique
- LLM
- Build or buy
- Built in-house or to order
- Deployment
- Custom build
- Data used
- 7,000+ proprietary reports (PDFs and Excel models) covering competitive landscapes, epidemiology studies, clinical trials, market access & pricing, and regulatory intelligence.
- Scale
- 7,000+ reports processed
- Timeline
- 3 months
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
Seconds to minutesresearch turnaround timefrom Hours (sometimes days) per insight
“Before: Hours (sometimes days) per insight After: Seconds to minutes ➡ ~70–80% faster research turnaround”
Quoted word for word from the source
analyst hours for routine research
“60–70% reduction in analyst hours for routine research”
Quoted word for word from the source · round percentage, no baseline given
“"Selling reports" → "Delivering insights on demand."”
Difficulties and limits
- Manual research workflows across PDFs and Excel files
- Hours to days to answer complex market questions
- Fragmented intelligence across multiple reports
- High analyst dependency, limiting scale
- IP risk from downloadable proprietary reports
Sources
- 1labs.ai — vendor self-report
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