The thing that's made the difference for us is having an AI assistant trained on our own knowledge base that our support agents can use while they're on a live call with a customer. Instead of digging through pages mid-conversation, an agent can ask in plain language and get a direct answer back, with a citation to where it came from so they can trust it before they pass it on. It pulls from our internal docs and help content together, so it's one place to ask rather than four. For a support team that's scaling, that's genuinely useful. It's become part of how the team handles calls rather than a tool that sits to one side. Review collected by and hosted on G2.com.

Getting the most out of it depends on having your knowledge base in good shape, so there's real work on your side to keep sources clean and well-organised, and that's worth knowing going in. Beyond that the team at Kapa has been responsive when we've raised things, and the issues we've flagged have been taken seriously. We're keen to see the product keep getting faster and tighter for agents working in real time. Review collected by and hosted on G2.com.

My first exposure to kapa.ai was in December 2024. I remember being attracted by answers that contained inline citations to sources. That wasn't a common feature back then. I also liked that most kapa.ai features were available via API, so we could implement the assistant in our internal processes without having to use a chat in a browser.

Before that, we had been experimenting at Espressif with building our own documentation assistants, but they didn't gain much internal traction. Then we saw that Silicon Labs had a chatbot powered by kapa.ai. At the time, we weren't sure if it would be a good approach to give our users technical answers generated by AI that were not fully deterministic. But if the answers have citations, they are more credible, and you can check the source yourself. After talking with kapa.ai, we agreed on a test plan to see if the solution met our requirements.

During testing, we progressively added more product documentation and validated performance with Q&A from subject matter experts. I was concerned about correctly answering questions on similarly named chip series (e.g., ESP32 vs. ESP32-S3 vs. ESP32-C3) and directing Western users to English documentation, Chinese users to Chinese documentation. The naming concern turned out not to be an issue, and we deployed two separate assistants to handle the language split.

The documentation assistants launched in April 2025 and were quickly adopted by users and internal teams, saving an enormous number of hours. Users get instant technical answers, something impossible for humans to provide at scale.

Beyond providing a dependable and reliable service for over a year now, I appreciate that kapa.ai doesn't rest on its laurels. They listen to our feedback and continuously improve the platform's functionality with features like Internal Technical Assistant, Coverage Gaps, Top Questions, MCP support, real-time refresh, support for new source types, and more.

The measure of the assistant's success is steadily increasing adoption and the many positive comments users leave about the assistants, as if they were human. Review collected by and hosted on G2.com.

There's nothing to dislike about kapa.ai. They are great partners who think ahead and care about our needs. If there's an issue, they get it fixed. If we propose a new feature, they implement it. The only minor point I could mention is that the assistant's awareness of the current time and the page where the widget is deployed took a bit longer to implement than I expected. But the features are there, and users get much better answers when they refer to the "latest" release or casually ask about what they see on a webpage. Review collected by and hosted on G2.com.

Our product is deep and technical, so we needed answers that are genuinely correct and detailed, drawn from across all of our knowledge rather than just one place. Kapa delivers on that. It can answer using our docs, Confluence, Jira, and Slack together, it cites its sources, and it will say “I don’t know” instead of guessing. That level of accuracy is what gave us the confidence to put it in front of both our internal teams and our support team. Review collected by and hosted on G2.com.

It’s only as good as the sources behind it, so when older or conflicting content lives in our knowledge base, it can end up surfacing in an answer. I’d like even sharper detection of stale sources so outdated material is less likely to slip through. To be fair, this is as much on us to keep our content clean and consistent as it is on Kapa. Review collected by and hosted on G2.com.

Kapa lets our docs users get the information they need exactly when they need it, and for that, we love it. We weighed building this ourselves versus buying, and kapa made buy the obvious call. An internal build would have meant a large upfront cost, an engineer to maintain it, and a year or more to reach production, and it still would not have matched kapa on quality. It answers from our own documentation, cites its sources, and says "I don't know" rather than guess, and we built our own experience on top of the kapa API to make it feel like ours. Review collected by and hosted on G2.com.

Early on we wanted it to feel more like our own product than a standard widget. We solved that by building our own experience on the kapa API, so at this point I don't have much to add here. Review collected by and hosted on G2.com.

Kapa has been really great for our team. The adoption across our customer success managers and support agents has been really great, and the feedback we get is that it gives better responses, detailed explanations, and gets answers from the right source. It is also able to deal with complicated portions that would otherwise require a lot of back and forth. Review collected by and hosted on G2.com.

The only thing I would flag is that the question limit can feel a little tight as your team's usage grows, but that's more a reflection of how much the team has adopted it. It's not something that has stopped us from getting value out of the tool at all. Review collected by and hosted on G2.com.

The accuracy is what won people over. Kapa answers from our own internal knowledge and cites where each answer comes from, so the team trusts it instead of double-checking everything. We run it right inside Slack, which is already where AlertMedia lives, so there was nothing new for anyone to learn. Our CS team gets a grounded, cited answer in a few seconds instead of digging through docs or pinging a colleague. It was quick to stand up and it has been low maintenance since. Review collected by and hosted on G2.com.

Nothing major. The main thing for us has been keeping an eye on our monthly question usage as more teams want in, and I'd like an even simpler way to see usage trends and model what adding another team would cost. To be fair, whenever I've asked the kapa team those questions they've come back quickly and clearly Review collected by and hosted on G2.com.

t's an AI assistant trained on our own internal knowledge, so our engineers can ask a question in plain language and get back a real answer with citations to the source. What makes it work for us is how it slots into the setup we already had. We connected Kapa over MCP to our internal AI platform, so people don't have to go somewhere new, they just ask in the tool they already use and Kapa does the retrieval behind the scenes. We pointed it at our ISO norms and technical docs first, and the answer quality was strong right out of the gate. Our heavy users hit it several times a week without thinking about it. The feedback mechanism is also genuinely useful: people rate how much time an answer saved them, and that flows straight into the analytics so we can see what's landing. Review collected by and hosted on G2.com.

Nothing significant so far. It's been a positive experience and the team has been responsive whenever we've had questions. We're keen to see how the product develops as we roll it out more widely. Review collected by and hosted on G2.com.

I led the evaluation that brought kapa in and I'm in the dashboard regularly, so I've seen it up close. What won me over during testing was how well it synthesizes answers from our own developer docs - I'd throw real questions at it (OAuth setup, how to build a loyalty app) and it pulled the right material together and showed me where each piece came from. The part I lean on more than I expected is the coverage-gaps workflow: kapa surfaces where developers are asking things our docs don't answer well, and I can turn those gaps straight into documentation fixes. It's a genuine feedback loop between what people ask and what we write. The team behind it has been a pleasure to work with on top of that. Review collected by and hosted on G2.com.

Nothing major. Early on I wanted a bit more control over which sources it leaned on - once in a while it would surface an older reference when a newer one existed - but that was tunable with the team's help and has steadily improved. More of a one-time configuration step than an actual gripe. Review collected by and hosted on G2.com.

The Kapa team is very responsive and engaged as we continue to define and expand our AI strategy.

The product is very simple to implement and manage. Review collected by and hosted on G2.com.

Nothing to add at this time. They’re a startup, so they’re agile, but they’re still growing. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

No negatives to date. The AI and dashboards are developing so we look forward to getting more detailed and richer reporting in the future. Review collected by and hosted on G2.com.