Otter’s new feature lets users search across their enterprise tools

2026-04-28 · Source: AI News & Artificial Intelligence | TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Fundamental Awareness, quick

Summary

Otter.ai has launched an enterprise search capability, transforming its AI meeting notetaker app into a comprehensive workspace. This new feature allows users to integrate and query data from external applications like Gmail, Google Drive, Notion, Jira, and Salesforce, in addition to existing meeting data. Operating as a Model Context Protocol (MCP) client, Otter can pull data using a common standard adopted by AI tools. The company has also redesigned its AI assistant for consistent presence and context-aware questioning across the interface. Furthermore, Otter introduced botless meeting capture for its Windows app, following its Mac app release, and now boasts 35 million users, up from 25 million last year.

Key takeaway

For CTOs and VPs of Engineering evaluating enterprise AI tools, Otter's shift to a unified workspace with cross-application search and an integrated AI assistant signals a move towards more comprehensive productivity platforms. You should assess how such integrated solutions, particularly those leveraging Model Context Protocols, could streamline workflows and consolidate information access across your organization, potentially reducing tool sprawl and improving decision-making efficiency.

Key insights

AI meeting notetakers are evolving into integrated enterprise productivity platforms via expanded data search and AI assistants.

Principles

• Transparency in AI tools fosters enterprise adoption.
• Data integration is key for AI productivity tools.

Method

Otter uses a Model Context Protocol (MCP) client to connect to external apps, pulling data for unified search and enabling actions like pushing summaries or drafting emails.

In practice

• Connect Gmail, Google Drive, Notion, Jira, Salesforce.
• Push meeting summaries to Notion.
• Draft Gmail messages from meeting context.

Topics

• Otter.ai
• Enterprise Search
• Model Context Protocol
• Data Integrations
• AI Assistant

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.