Otter.ai, today announced the launch of a new Conversational Knowledge Engine, a platform to connect conversations across teams and time, turning what’s said in meetings into structured, searchable knowledge that can drive agentic actions automatically. The launch is supported by three new product capabilities, an expanded MCP server, AI Chat and Otter for Desktop.
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Otter’s Conversational Knowledge Engine turns every meeting, every call, every discussion into data your organization can actually use: searchable, cross-referenced, connected to your existing tools, and available to the AI systems you’re already deploying.
The Conversational Knowledge Engine solves a long-standing gap in enterprise software where the decisions, context, and intent of conversational data are lost the moment a meeting ends. There has never been a system of record for what people actually say during meetings, which has driven Otter.ai’s strategic evolution into a new category. The Conversational Knowledge Engine will be as fundamental as CRM in capturing customer data, HRIS for employee data, and ERP for financial data.
Otter.ai’s proprietary Conversational Knowledge Engine can be broken down into three connected ideas:
- Conversational. Mapped to meetings and voice, where the majority of enterprise knowledge is actually created.
- Knowledge. A longitudinal knowledge graph (a continuously growing record of conversations over time), connecting thousands of conversations across thousands of people over time, linking decisions to who made them, the context around them, and the workflows that depend on them.
- Engine. Puts that graph to work through conversational agentic workflows, where conversations become the trigger for automated action across the enterprise.
The existing conversation intelligence market, valued at $23 billion today and growing toward $55 billion by 2033 (Grand View Research; Future Market Insights), was built around analyzing individual sales calls. The Conversational Knowledge Engine operates at a different order of magnitude. It is not a tool that sits alongside CRM, knowledge management, and conversational AI. It is the continuously growing knowledge layer that sits above all of them and feeds them. Otter.ai estimates the total opportunity exceeds $100 billion, a category that did not exist before today.
To power this strategic evolution, Otter.ai, which has delivered more than $1.5 billion in customer ROI through time saved, is launching three major new capabilities:
- Otter’s meeting intelligence now flows in every direction. New AI Chat Connectors make Otter an MCP Client, so you can pull live data from Gmail, Google Drive, Notion, Jira, Salesforce (and soon from Microsoft Outlook, Teams, Sharepoint, and Slack) directly into Otter AI Chat. Verify that an action item made it into Jira, cross-reference a prospect’s commitments against Salesforce, or surface a Google Doc from three meetings ago. It works the other way too: push meeting summaries and action items out to a Notion page, a draft email to Gmail, or any connected tool the moment a call ends. And because Otter also acts as an MCP server, external AI tools like ChatGPT and Claude can tap into your meeting history as live context. Ask Claude to draft a proposal drawing on your last five sales calls or have ChatGPT prep you for tomorrow’s meeting with full knowledge of what was promised and what’s still open.
- AI Chat is private, contextual, and always available. Now private by default, Otter’s AI Chat has been rebuilt into a single, unified interface that moves with users throughout the platform and matches the interaction model users expect from ChatGPT and Claude. It responds based on what the user is looking at, whether a specific meeting, a channel, or their full conversation history, and keeps the conversation going as users move through the platform. Users explore and refine insights privately, then choose exactly if, when, and how to share with their team.
- Otter for Desktop (Mac and Windows) captures conversations across any application, not just scheduled meetings. It records video calls, voice conversations, and internal discussions, so every conversation becomes part of your knowledge base.
“A decade ago, we created the AI meeting assistant category,” said Sam Liang, Co-Founder and CEO of Otter.ai. “This is our next chapter. Individual meeting notes were never the destination. The destination is connecting thousands of meetings across thousands of people and turning that data into a structured, intelligent, and self-executing system.”
For the 86% of Fortune 500 companies and 88% of the Forbes Cloud 100 already using Otter, the Conversational Knowledge Engine doesn’t start from zero, it activates on years of accumulated conversation history. Having access to a longitudinal record of what was said across every meeting across multiple departments enables agentic workflows that no point-in-time tool can replicate. Here are a few examples:
- Sales. Before every follow-up call, Otter synthesizes all prior conversations with a prospect, surfacing recurring objections, broken commitments, and shifting sentiment to recommend the highest-probability next action.
- Marketing. Marketing teams can ask Otter to analyze what prospects actually said across hundreds of sales and customer success meetings, identifying the most common pain points and the language buyers use when they see value, producing messaging built on real customer voice rather than assumptions.
- Recruiting. When a candidate finishes an interview loop, Otter aggregates feedback from every session, surfaces where assessors disagreed and which competencies went untested, and produces a unified candidate summary so hiring managers can decide faster without a days-long debrief cycle.
- Product Management. Product managers can ask Otter to surface every feature request mentioned across months of sales calls, customer success meetings, and user research sessions, ranked by frequency and revenue at stake, and automatically drafted into a prioritized roadmap brief.
All new features are available today. For more information, visit otter.ai.
About Otter.ai
Otter.ai is the Conversational Knowledge Engine built for the modern enterprise, giving AI agents the organizational context to act on by connecting thousands of conversations across thousands of people. Available on desktop on Mac and Windows, iPhone, Android, web. Used by more than 35 million people, across over one billion meetings, generating more than 30 million action items. The pioneer of the AI meeting assistant category. Backed by early investors in Google, Zoom, and Tesla. Headquartered in Mountain View, California.
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