Knowledge from your meetings, or from everything your team writes.
Otter.ai is a strong meeting notetaker that now doubles as a knowledge engine: it records and transcribes your calls and makes what was said searchable, with agents that act on meetings. this+that builds a company brain too, but from a different and much larger source: the messages your team sends all day across email, Slack, Teams, Google Chat, and Telegram. Meetings still count: the transcripts and summaries that land in your inbox get read like any other message. One captures what you say in meetings; the other captures the operational knowledge spread across everything your team writes.
A meeting knowledge engine, or a company brain fed by every message
Otter.ai made a smart move in 2026: it grew from an AI notetaker into what it calls a Conversational Knowledge Engine, turning meeting transcripts into searchable institutional knowledge with agents that schedule, capture action items, and qualify leads. If meetings are where your company's knowledge gets created, Otter captures that layer well, at real enterprise scale.
The catch is the source. Otter knows what was said out loud in meetings. It records calls from Zoom, Meet, and Teams, and its Slack, Salesforce, and Notion integrations sync its outputs back out, they do not read what happens inside those tools. But most operational knowledge never gets spoken in a meeting. It lives in the email thread, the Slack decision, the customer's reply, the quiet handoff between two people. this+that builds its brain from that whole written stream, and folds meetings in too: the transcripts and summaries that land in your inbox get read like any other message. Same idea, a much wider net, plus the unified inbox and workflows Otter does not have.
Feature by feature
How the two products compare across the things that matter most.
| Topic | Otter.ai | this+that |
|---|---|---|
| Category | Conversational Knowledge Engine built on meeting transcripts, with meeting agents (action items, SDR, recruiting). | Universal inbox plus a company brain built from every message, with workflows that act on what arrives. |
| Knowledge source | Meetings and voice only: Zoom, Google Meet, and Teams calls, desktop and mobile recording, audio and video uploads. | Every channel your team writes in (email, Slack, Teams, Google Chat, Telegram), plus the meeting transcripts and summaries that land in your inbox. |
| What it ingests | Meeting audio. Its Slack, Salesforce, Jira, and Notion integrations sync Otter outputs out; they do not ingest those tools’ content. | The actual content of your messages across every connected channel, read for tasks, context, and knowledge. |
| Where knowledge comes from | What was said out loud in a meeting. | The operational knowledge spread across everything your team writes, the missing middle, plus what is said in meetings. |
| Where work starts | A meeting happens and gets recorded. | Any message arrives, on any channel, and the agent reads and acts on it. |
| Agents and automation | Meeting agents: action item capture, scheduling, and SDR and recruiting agents that work off calls. | Workflows triggered by your messages: 32 action types, IF/ELSE, loops, and MCP, that both read the brain and write back to it. |
| Unified inbox | Not an inbox. A meeting layer alongside your tools. | A rebuilt unified inbox across every channel, where the work and the knowledge live together. |
| The knowledge loop | Meetings feed the knowledge base; agents act on meetings. | Messages feed the brain and the workflows; workflows act on messages and write back to the brain. It compounds. |
| Buyer | Meeting-heavy teams and enterprises; priced per user with an enterprise tier. | Teams whose work lives in messages across many channels. |
| Pricing | Free tier, Business around $19.99 per user per month, enterprise custom. | Free during beta. |
- Otter is one of the best meeting notetakers there is, and the move into meeting knowledge is well executed. If your institutional knowledge is created in meetings, it captures that layer thoroughly.
- Voice-activated agents that join the meeting and answer questions or capture tasks in real time are a genuinely useful idea.
- Channels group recordings by team, project, or topic, so meeting history is searchable in one shared place.
- Real enterprise scale and a mature product, with the security and admin features large orgs expect.
- If meetings are the job, Otter and this+that work well together: the summaries Otter emails you get read by this+that like any other message, so meeting knowledge joins the rest of your brain.
- The knowledge that never gets spoken: the email thread, the Slack decision, the customer reply, the quiet handoff. this+that captures the written operational stream meetings miss.
- A universal inbox across email, Slack, Teams, Google Chat, and Telegram, with every message read for tasks and context.
- Workflows that act on incoming messages and write back to the brain, so knowledge grows as a side effect of doing the work.
- Meetings still count: the transcripts and summaries that land in your inbox get read like any other message.
- A company brain that grounds every workflow and answer in what your team actually decided, across channels, not just calls.
See what's in your messages, not just your meetings
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