FOR software
Help every user get unstuck in seconds
An agent on your documentation, help center, and in your product that resolves "how do I" questions instantly, grounded in your sources and cited.
how it works
From your documentation to accurate answers for your users in minutes
Connect your sources
Connect 30+ sources: help centers, GitHub code, wikis, PDFs, and SDKs.
Customize your agent
Customize the brand color, logo, font, layout, and answer tone of your agent.
Deploy in 1 click
Copy and paste a code snippet and go live with just one click.
The self-serve agent trusted to resolve millions of customer questions, every day
“Kapa started as an agent on our documentation. Now it's the interface layer between Port and everyone - customers, internal teams, even AI agents calling our API.”
Matan Grady, Produt Directoe
Try Kapa with your technical content
Test and evaluate Kapa for free
Go live in less than 7 days
SOC 2 Type II & GDPR compliant
Why is Kapa a good fit for a software or SaaS company specifically?
Software products generate a constant stream of "how do I" questions across documentation, help centers, and the product itself, and answering them manually does not scale as you grow. Kapa deploys an AI agent on your own technical knowledge that resolves these questions instantly, grounded in your sources and cited so users can verify and dig deeper. It is purpose-built for technical content like API references, SDKs, code samples, and changelogs, rather than generic FAQs. More than 200 technical and enterprise companies use it to support both their developers and their end users. The result is faster self-serve resolution for users and less repetitive load on your docs, support, and engineering teams.
What knowledge sources and channels does Kapa support?
Kapa connects to 50+ source types, including documentation sites, help centers, GitHub code and issues, Slack and Discord history, Notion, wikis, PDFs, OpenAPI schemas, and more. Sources refresh on a schedule, so answers stay current as your product and docs evolve. You can then deploy the same underlying agent across the surfaces where your users already work, such as a website or docs widget, Slack and Discord community bots, a support form deflector, a Zendesk agent, an internal technical assistant for your team, and a hosted MCP server for AI coding tools. This means one knowledge layer powers many channels instead of maintaining separate bots. Most surfaces install with a one-click setup or a small embed snippet, and an API and SDKs are available for fully custom interfaces.
How does Kapa keep answers accurate and trustworthy?
Kapa uses retrieval-augmented generation, so answers are grounded in your indexed sources rather than generated from the model's open-ended memory, which is how it minimizes hallucinations. Every answer includes citations back to the underlying documentation, letting users confirm the response and navigate to the original page. When the agent cannot find reliable content for a question, it is designed to express uncertainty instead of guessing. The platform clusters those uncertain questions and surfaces coverage gaps in analytics, so you can see exactly where your documentation needs to improve. Because answer quality depends directly on source quality, this feedback loop helps you continuously raise both your docs and your answers over time.
How much engineering effort does setup take, and how fast can we go live?
Setup is intentionally lightweight so your team can stay focused on the product. You connect your sources, customize the agent's branding and tone, and deploy most surfaces with a single line of code or a one-click integration, with no migration or rebuild required. The website widget works out of the box with platforms like Mintlify, Docusaurus, GitBook, ReadMe, Webflow, and Zendesk. Many teams go live in under seven days, and you can test and evaluate Kapa during a free trial before committing. For deeper or custom in-product experiences, the API and SDKs give your engineers full control over the interface.
How does Kapa handle security and data privacy?
Kapa is SOC 2 Type II certified and GDPR compliant, with data encrypted both at rest and in transit. It maintains Data Processing Agreements and training opt-outs with the LLM providers it uses, so your data is not used to train third-party models. For sensitive content, PII detected during crawling can be removed entirely or replaced with anonymized labels before it is indexed. You also control deployment context, including running the widget behind a login and scoping answers to the right product or version using source groups. Usage can be tracked anonymously by default or tied to an email or custom ID, giving you both privacy and useful analytics.