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Tettra

AI-powered internal wiki that answers questions from your docs.

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About

Tettra is an internal knowledge management system that gives teams a central, searchable wiki for processes, policies and how-tos. Its standout feature is Kai, an AI assistant that lives in Slack and Microsoft Teams: employees ask questions in chat, and Kai answers from the team's documented content with links back to the source pages. When it cannot find an answer, it routes the question to the right expert, which captures tacit knowledge instead of letting it evaporate in threads.

The platform fights documentation decay, the reason most wikis die, with a verification system where subject-matter experts periodically re-approve pages and a stale-pages report that flags outdated content. Teams can build pages in the native editor or import from Google Docs, Notion and PDFs, use templates for onboarding guides and SOPs, and manage knowledge gaps through a Q&A and page-request workflow. An experimental REST API is available on Scaling and Enterprise plans.

Tettra holds a 4.7 rating on G2 across 161 reviews and offers both free and paid tiers, with paid plans reported around five euros per user per month. It is aimed at startups and mid-size teams that live in Slack; larger enterprises with complex knowledge governance needs may find its simplicity limiting, which reviewers note as the main tradeoff.

What it can do

  • AI assistant Kai answering questions from the knowledge base in Slack and Teams
  • Wiki-style pages with native editor and import from Docs, Notion, PDFs
  • Expert verification system and stale-page reports
  • Q&A workflow with knowledge-gap requests
  • Page templates for onboarding, SOPs and FAQs
  • Permissions, version history and experimental REST API

Setup

  1. Sign up for the free plan on tettra.com.
  2. Create categories and import existing docs from Google Docs, Notion or PDFs.
  3. Install the Tettra app in Slack or Microsoft Teams to enable Kai.
  4. Assign subject-matter experts to verify pages on a schedule.
  5. Review the stale-pages report and knowledge-gap requests monthly.

Prerequisites

A team with documented processes to centralize; Slack or Teams for the Kai assistant.

Use cases

knowledge-managementinternal-wikidocumentationteam-collaboration

Works with

Trust score — 6/10

/10 trustMetrics-checked

Scored 6/10 (metrics tier, metrics-v1). Evidence: 4.7/5 on G2 across 161 reviews (techreviewer.co); launched 2015 (techreviewer.co); free and paid tiers with API on Scaling/Enterprise (api-evangelist GitHub). Strengths: strong user ratings, thoughtful anti-decay workflows, generous free tier. Docked for: (1) smaller vendor with limited public traction data; (2) simplicity limits enterprise governance use cases. License: proprietary commercial SaaS (freemium).

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
6.0/10
Maintenance · recency, releases, issue load
7.0/10
Openness · license + docs
7.0/10
Manual review · sanity read + red-flag check
6.0/10
  • · 4.7/5 on G2 across 161 reviews; launched 2015 (techreviewer.co)
  • · Kai AI assistant in Slack/Teams answers from KB with source links (aitechsuite.com)
  • · Free + paid tiers; experimental REST API on Scaling/Enterprise plans (api-evangelist GitHub)

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.