Summary
| Foundation Year | 2023 |
| Country | 🇩🇰 Denmark |
| Founders | Emil Soerensen, Finn Bauer |
| Tier | Paid Only |
| Platforms | API, Web Browsers |
| AI Features | AI Knowledge Base, File upload, Role-Based Access Control, Secure data connectors, Slack Bot, Source filtering, Website Widget |
| Pricing From | N/A |
| Support | Yes (Email) |
| Best Used For | AI Knowledge Base |
| Affiliate Program | No |
| White Label | No |
| API | Yes |
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Description
Features
- Grounded answers with citations
- Secure data connectors
- Website Widget
- Slack Bot
- Discord integration
- Role-Based Access Control (RBAC)
- Sensitive data masking / PII anonymization
- Source filtering
- File upload (PNG/JPEG/PDF)
- API & SDK (chat endpoints + analytics)
Free Plan & Pricing
No free plan/trial available for kapa.ai
Refund Policy
5 Ratings
[N/A]
[N/A]
5app.ai Rating
[N/A]
AI Review
[4.5/5]
Kapa.ai is highly praised for building accurate AI assistants from technical docs, trusted by companies like OpenAI, Docker, and Reddit. It offers strong features like RAG, easy integrations, and enterprise security, reducing support tickets and improving developer experience. Some users note mixed results compared to alternatives, but overall feedback highlights reliability and focus on technical accuracy.
Sources:- Kapaai.tenereteam.com, Kapa.ai, Generational.pub, News.ycombinator.com
Our Expert's Opinion
[4/5]
After testing kapa.ai and comparing it with other docs chat tools, I like that it stays focused on your product knowledge and uses RAG with source links, so it feels more trustworthy than a random chatbot. The website widget is easy to try, and features like source filtering and “deep thinking mode” are helpful when a question is tricky, but deep thinking can also feel slower. The best part is how many places it can pull from (docs, Slack, Confluence, GitHub, Zendesk, and more) and the analytics idea of spotting doc gaps, but the downside is setup can be a bit messy because getting clean, up-to-date sources and permissions takes real work. Also, when the documentation is thin, the answers can become short, incomplete, or “not found,” which is honest but still annoying for users. On the plus side, the enterprise security story (like SOC 2 Type II and encryption) is reassuring if you use internal data.
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