6Pages is a new kind of market intelligence service that helps professional decision-makers make better and faster decisions in response to market shifts in business and technology.
Every week, 6Pages scans thousands of news events, detects and connects signals of change, and turns them into deep, clear briefs on what’s happening and what it means. For decision-makers, these briefs drive better, faster, and more confident decisions.
6Pages’ ambition was to transform its Market Insight Engine into a production-ready GenAI system capable of automatically detecting market shifts and generating publication-ready briefs.
To do so, the challenges were:
- Scaling manually intensive processes of article classification and briefing
- Improving the accuracy and explainability of 6Pages’ signal detection
- Generating polished, formatted briefs that meet 6Pages’ rigorous editorial standards
- Automating metadata and tagging for faster retrieval and streamlined editorial workflows
Leveling up 6Pages’ operating model through a GenAI MVP.
For 6Pages, AI/R Compass UOL designed and delivered a GenAI-powered MVP, built with Anthropic's Claude Sonnet 4.6 LLM, that improved accuracy, optimization, and cost efficiency of the market analysis engine.
Boosted classification accuracy using LLM-enhanced scoring, targeting a 65–80% accuracy
Added explainability in a “Reason for Relevance” column to help the 6Pages editorial team trust system outputs
Automated metadata and tagging for articles and briefs to improve retrieval and analysis
Faster time to insight from manual scanning to automated pipeline for market intelligence and refined brief generation to mirror 6Pages’ style
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