Kapa.ai has proven to be a powerful tool for helping us support our user base quickly, and in a far more scalable way than we would have been able to otherwise. Its feature suite enables users to get answers fast and easily, while still giving us enough modularity to fine-tune the experience where it makes sense. The Kapa team is also highly collaborative and clearly cares about the user experience. They’ve worked with us to iterate on our feedback, and the overall experience across the feature suite is something our users find very easy to use. Kapa’s documentation is solid as well. It makes it easy to find quick answers, and it consistently covers most of the questions we run into.

We have a large, fairly technical set of documentation, and what I wanted was an AI assistant trained on it without having to build and babysit a model myself. That's exactly what this is. You point it at your docs and it handles the hard part. Users can ask a question in plain language and get an answer back that cites the page it came from, which matters a lot for technical content, where a confident wrong answer is worse than no answer at all. Two things stood out for us. One is an "Ask AI" option right on the docs site, so people get an answer in context instead of searching around. The other is being able to put it inside our support workflow, so the team gets a drafted, sourced answer they can check before it goes out. It's trained on our own docs, including the content we pull in from our repos.

Kapa AI is very easy to use, and we were able to integrate it with our cloud-based tool without issues. Both customers and employees love it because it saves time when looking for answers in documentation and other resources. The AI is accurate and reliable, which makes it easy to trust day to day. We’ve also found Kapa, as a company, very easy to work with—extremely cooperative and proactive about exploring ways to expand our use of their AI and deliver even more value.