Tettra

AI knowledge base that answers team questions before they pile up

Beginner
Screenshot of Tettra, AI knowledge base that answers team questions before they pile up

What is Tettra?

Tettra is an internal knowledge base with an AI bot called Kai that answers team questions in Tettra or Slack, plus verification workflows that keep pages accurate. It suits whole companies, support teams and agencies replacing scattered docs and repetitive Slack questions.

Tettra is an internal knowledge base built around a simple premise: most repetitive questions inside a company already have an answer somewhere, and the job of the tool is to make that answer findable and trustworthy. Content lives in a lightweight editor that the team writes in directly, and existing material from Google Docs, Notion and local files can be brought across so a wiki does not have to be rebuilt from scratch. The second half of the product is Kai, an AI bot that searches the knowledge base when a teammate asks a question, either inside Tettra itself or in Slack. When the answer exists, Kai returns it on the spot. When it does not, the bot helps route the question to the person most likely to know, which turns a dead end into a documentation task rather than a lost message in a channel. Knowledge management is where Tettra separates itself from a plain wiki. Pages can be assigned to subject matter experts for regular verification, so important documents do not quietly rot. The system surfaces knowledge gaps, and teammates can suggest edits that owners approve before they go live. That review loop matters for service teams answering customer questions, where a stale policy page turns into a wrong answer to a customer. Tettra is aimed at entire companies, customer facing support teams and agencies that need consistent answers across many clients. The homepage case studies come from a startup accelerator (Techstars), a support organization (Fortnox) and a marketing agency (SmartBug). Compared with heavyweight documentation platforms, the pitch is speed of setup and low maintenance overhead rather than deep page hierarchies. Teams that have outgrown scattered Slack threads and shared drives are the natural audience. Pricing tiers are not listed on the homepage, so buyers should confirm plan details and limits directly with the vendor. Because the AI answers are grounded in your own content, the quality of the knowledge base sets the ceiling on answer quality. Tettra leans on verification assignments and edit approval to keep that content current, which is the practical difference between an AI assistant that helps and one that confidently repeats outdated information.

How do you use Tettra?

  1. 1Create your team knowledge base
    Sign up and create the team workspace, which becomes the container for all internal documentation and Q&A.
    Tettra — Create your team knowledge base
  2. 2Add content with the editor or import existing docs
    Write new pages in Tettra's editor, or pull in material from Google Docs, Notion and local files to populate the base quickly.
    Tettra — Add content with the editor or import existing docs
  3. 3Connect the Slack app so Kai can answer questions
    Install the Tettra app in Slack so teammates can ask questions in chat and receive answers drawn from the knowledge base.
    Tettra — Connect the Slack app so Kai can answer questions
  4. 4Ask Kai a question and check the routing fallback
    Test the Q&A flow with a real question. When no answer exists, Kai helps identify the right person to respond.
    Tettra — Ask Kai a question and check the routing fallback
  5. 5Assign verification owners and review suggested edits
    Set subject matter experts to verify key pages on a schedule, watch for knowledge gaps, and approve edits teammates propose.
    Tettra — Assign verification owners and review suggested edits

Pros and cons

Pros

  • Kai answers questions directly in Slack as well as inside Tettra, meeting teammates where they already workAI
  • Pages can be assigned to subject matter experts for recurring verification, which fights documentation rotAI
  • Suggested edits go through owner approval, so accuracy is maintained without locking everyone outAI
  • Existing content from Google Docs, Notion and local files can be imported instead of rewrittenAI
  • Clear fit for support and agency teams that need consistent answers across many clientsAI

Cons

  • No pricing tiers are published on the homepage, so cost has to be confirmed with sales before comparing alternativesAI
  • AI answer quality depends entirely on how well the knowledge base is written and maintainedAI
  • Verification assignments create recurring work for subject matter experts, a commitment some teams underestimateAI
  • Search and setup are optimized for internal use, so there is no public help center or external documentation optionAI
  • Deeper documentation structures may feel limited next to larger wiki platformsAI

How much does Tettra cost?

Integrations

Slack is the integration the homepage highlights, with Kai answering questions in chat. Google Docs and Notion are named as sources for importing existing content into the knowledge base.

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Features

Three core areas: an internal knowledge base with a built in editor and imports from Google Docs, Notion and local files; AI powered Q&A through the Kai bot in Tettra and Slack, with fallback routing to the right person when no answer exists; and knowledge management automation covering expert verification, knowledge gap detection and approval of suggested edits.

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Frequently asked questions about Tettra

  • How do you use Tettra?
    The walkthrough on this page covers 5 steps: 1. Create your team knowledge base 2. Add content with the editor or import existing docs 3. Connect the Slack app so Kai can answer questions 4. Ask Kai a question and check the routing fallback 5. Assign verification owners and review suggested edits.
  • What platforms does Tettra support?
    Tettra is available on Web App and Browser extension.
  • What does Tettra integrate with?
    Slack is the integration the homepage highlights, with Kai answering questions in chat. Google Docs and Notion are named as sources for importing existing content into the knowledge base.
  • What are the limitations of Tettra?
    No pricing tiers are published on the homepage, so cost has to be confirmed with sales before comparing alternatives. AI answer quality depends entirely on how well the knowledge base is written and maintained. Verification assignments create recurring work for subject matter experts, a commitment some teams underestimate.

Status

StatusActive
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Added10/22/2026

Platforms

Web AppBrowser extension

Pricing

FreemiumSubscription