We deployed kapa as an "Ask AI" layer across our public developer docs. What sold the broader team - including some healthy engineering skepticism early on - was accuracy: kapa answers from our own documentation and cites its sources, so developers get a trustworthy synthesized answer rather than another generic chatbot. Beyond the front-end experience, the part I value most as a product leader is the signal we get back. The analytics, tagging, and coverage-gaps reporting show us exactly what developers are asking and where our documentation falls short, which feeds directly into how we prioritize doc and product work. It's become a genuine input to our roadmap, not just a deflection tool. The kapa team has also been a strong partner - responsive, technically sharp, and easy to build with.

We've run kapa's AI assistant on our documentation for three years now. For a developer-focused product like ours, kapa gives developers instant, accurate answers pulled straight from our documentation, with citations, instead of making them dig or open a ticket. We were able to build it into our own branded experience rather than run it as an obvious bolt-on. It's been reliable and low-maintenance on our side, and the team has been a genuine partner across multiple years.

Seamless ticket deflection and integration with data sources.