NOAN vs Mitosis Labs
Mitosis Labs and NOAN attack the same failure, AI that guesses, from opposite ends. Mitosis builds a memory engine over what already exists: your emails, chats, and documents become a queryable knowledge graph, so AI can recall what actually happened. NOAN builds a fact layer of what the company has approved as true: verified, versioned facts that agents, apps, and your website read over one API. Choose Mitosis to make AI accurate about your past. Choose NOAN to make AI act on your approved present. Some teams will genuinely want both: recall from one, authority from the other.
Side by side
Competitor claims last verified 26 August 2026| Dimension | NOAN | Mitosis Labs |
|---|---|---|
| What it is | The company brain and API: verified facts, tasks, contacts, notes, and assets behind one REST endpoint | A memory engine that converts emails, chats, docs, and app data into a queryable knowledge graph for AI |
| Source of truth | Approved, versioned facts with an owner; one source of truth for the whole company | Your data exhaust as it happened; answers cite the original message or document |
| Verification | Facts enter through a verify gate: a human approves before anything reads it as true | No approval step; accuracy comes from grounding in source records, not from human sign-off |
| API | Plain REST plus MCP, bearer keys, unlimited API keys on every plan | Public REST API, MCP server, and CLI for agents to query the memory |
| Agents | Built for agents: facts to ground on, a task board to control them, any model | Agents query memory for context; no task board or control plane for dispatching agent work |
| Auditability | Every fact versioned with full history and Time Travel; every agent action lands on the task board | Answers show their source; the memory itself mirrors your communication history |
| Pricing model | Whole-workspace plans from $99/month; unlimited keys, no per-agent or per-task metering | Waitlist onboarding at time of writing; no public self-serve pricing published |
| Lock-in | Facts are plain text behind a REST API; one GET exports everything | Sources remain in your original tools; the derived graph lives in Mitosis |
When to choose Mitosis Labs
- You want AI to recall what was said and agreed across a large history of email, chat, and documents without curating anything
- Your pain is hallucinated answers about past events, not ungoverned facts
- You want per-answer citations back to the original message or file
When to choose NOAN
- You need agents to act on approved truth: prices, policies, positioning that a human signed off
- You want the brain to also run the work: task board, contacts, and assets in the same API
- You want your website and apps reading the same facts your agents do, so one change updates everything
Common questions
Is NOAN an alternative to Mitosis Labs?
For AI memory over your communication history, no; Mitosis is purpose-built for that. For a verified company brain that grounds agents, powers apps, and runs a task board, NOAN is the alternative. They overlap only at the point of keeping AI accurate, and they do it differently: recall versus verification.
What is the difference between AI memory and a fact layer?
Memory is derived from what happened: messages, meetings, documents. A fact layer is declared and approved: this is our price, this is our policy. Memory answers what did we say; facts answer what is true now. Agents that act on your behalf need the second kind, because acting on an old email is how mistakes ship.
Can I use Mitosis and NOAN together?
Yes, and the split is natural: Mitosis as recall over your history, NOAN as the approved truth agents act on and the task board that controls them. Both expose APIs and MCP, so one agent can read from each.
Sources: mitosislabs.ai · All comparisons
See the fact layer with your facts in it
Every plan includes the API, MCP, and unlimited keys. Start with one verified fact and build from there.