First-party data in the age of LLMs represents the shift from feature-based competition to data-driven moats, where proprietary customer insights become your only defensible advantage as AI commoditizes everything else. While every founder scrambles to integrate the latest AI features, the real winners are quietly building data fortresses that no LLM can replicate. Picture this:
LLMs for industrial knowledge management transform how companies capture, organize, and leverage decades of operational expertise—turning scattered tribal knowledge into accessible intelligence that drives 30-40% efficiency gains. A manufacturing founder recently discovered their senior engineer was retiring next month, taking 20 years of troubleshooting expertise that existed nowhere except in his head. The crisis? That
LLMs for financial research workflows promise to automate analyst tasks, cut research time by 80%, and deliver insights at scale—but most implementations fail because founders build features instead of workflows. This is the harsh reality we’ve discovered working with over 500 founders in the B2B fintech space. Picture a B2B fintech founder at $1.2M ARR