Tettra Review 2026: Real Pricing, the 10-User Minimum, and Who It Actually Suits

Tettra is an internal wiki with an AI bot bolted onto Slack. The pitch is simple and the problem is real: your team keeps asking the same questions, someone senior keeps answering them, and nobody writes anything down. What the marketing page doesn't lead with is the pricing floor — Tettra charges for a minimum of ten users whether you have ten or three. For a small team, that single detail decides whether this is worth considering at all.

The problem it's actually solving

Every growing team hits the same wall. Institutional knowledge lives in a handful of people's heads and in Slack threads that scroll into oblivion. A new hire asks where the deployment runbook is. Someone answers. Three weeks later, a different new hire asks the same question, and someone answers again — usually the same someone, usually a senior person whose time is the most expensive on the team.

The standard fix is "write a wiki," and the standard outcome is that the wiki goes stale within a quarter because nobody's job is maintaining it. Tettra's angle is that the wiki fails not because people won't write documentation, but because the documentation lives somewhere nobody goes. Their answer is to serve it where the question actually gets asked: in Slack.

How Kai works, and why the stale-content handling matters

Kai is Tettra's AI assistant. It runs retrieval-augmented generation over your knowledge base — meaning it searches your actual documentation and answers from it, rather than generating from a general model's training data. It's built on OpenAI's models. Someone asks a question in Slack, Kai searches your verified pages and replies with an answer plus the source page.

The design decision worth highlighting is what Kai refuses to read. Pages flagged as stale, and pages marked private, are excluded from the AI index. Only verified, current content feeds answers.

That sounds like a small implementation detail. It's the most important feature in the product. The failure mode of every AI-on-your-docs tool is confidently serving an answer from a document that stopped being true eighteen months ago — which is worse than no answer, because people act on it. Tettra pairing content verification with AI indexing means the bot's accuracy degrades gracefully instead of silently. If you're comparing tools in this category, ask every vendor how they handle stale content. Many don't have an answer.

What it costs, and the minimum that catches people out

Tettra publishes two tiers:

Annual billing gets you two months free — roughly a 20% discount. Non-profits and educational institutions can get further discounts by contacting sales, and orders over 250 licenses get reduced per-user rates.

You may find older articles referencing a cheaper "Basic" plan at around $4–5/user. That tier no longer appears on Tettra's current pricing page, and the AI features that make the product interesting were never on it anyway. Price your evaluation against Scaling.

What users actually complain about

Tettra has something Zealos and most of the newer tools in this space don't: a real body of independent reviews. Roughly 185 of them across four review platforms, averaging about 91% satisfaction. That's a genuinely good score, and it means the complaints below come from people using the product, not from speculation.

The consistent praise is for support responsiveness (people report replies within hours), setup simplicity, and the Slack integration itself. The consistent complaints are more specific:

• The hierarchy is rigid. Tettra enforces Category → Subcategory → Page. Three levels, no deeper. If you're coming from Notion or Confluence and you're used to nesting pages as deep as your org chart goes, this will feel like a straitjacket. For some teams the constraint is a feature — it stops the wiki sprawling into an unnavigable tree. For others it's a dealbreaker.
• Formatting options are limited. Several reviewers find they can't make pages look the way they want. If your documentation relies on complex tables, embeds, or visual layout, test this specifically during the trial.
• The 10-user minimum. This comes up repeatedly from small teams, and it's the most common reason people rule Tettra out.

None of these are quality problems — the product does what it says. They're fit problems, which is more useful to know, because fit is something you can assess in advance.

How it compares

The honest framing: Tettra is a focused tool, not a broad one. It does knowledge-in-Slack well and deliberately doesn't try to be your project tracker, your document editor, or your intranet. Whether that's discipline or limitation depends entirely on what you need.

Who should use it — and who shouldn't

Worth trialling if: your team is 10+ people, Slack is genuinely your primary communication tool, and you can name three questions that get asked every single month. That last test is the useful one. If you can't name them, you don't have the problem this solves, and a wiki won't create the habit.

Probably skip if: you're under ten people (the minimum makes it expensive per head), your team doesn't live in Slack (the core value evaporates — this is a Slack product first), you need deep nested documentation structure, or you need SSO and SCIM without an Enterprise conversation.

Getting real signal from the 30-day trial

Thirty days without a credit card is unusually generous, and long enough to get a genuine answer rather than a first impression. Four things I'd focus on:

1. Migrate your five most-asked-about topics first, not your whole documentation set. If Kai answers those five well, the product works for you. If it doesn't, migrating everything wouldn't have helped.
2. Test the hierarchy against your messiest documentation area. Three levels is the constraint — find out in week one whether your content fits it, not in month three.
3. Watch whether people actually ask Kai. The technology working and the habit forming are different things, and only the second one matters. If your team keeps DMing the same senior engineer instead, the tool hasn't solved anything.
4. Deliberately let a page go stale and see what Kai does. This is the verification system's whole value proposition. Confirm it behaves the way the documentation claims.

The bottom line

Tettra is one of the more credible tools I've looked at in this category, mostly because it isn't trying to do very much. It answers Slack questions from verified internal documentation, it handles stale content thoughtfully, and it has a real base of independent reviews backing up that it works — which is more than most AI tools launching right now can claim.

The constraints are real and they're structural: ten-user minimum, three-level hierarchy, limited formatting, Slack-dependent. None of those are going to change based on how much you want them to. But they're all knowable before you spend anything, and the 30-day no-card trial means finding out costs you nothing but a month of attention.

If you're a Slack-first team of ten or more drowning in repeat questions, this is worth the trial. If you're five people, look at Notion first — you'd be paying double per head for a tool whose main advantage you can partly replicate for free.

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