OtterAI

Updated 6 Jun 2026 Reviewed by 7wData

Visit Website

Profile

Otter.ai automatically records, transcribes, and summarizes meetings from platforms like Zoom and Teams, turning spoken conversations into searchable knowledge that can be queried and integrated with other business tools.

Otter.ai, headquartered in Mountain View, California, reached $100 million in annual recurring revenue (ARR) by March 2025, according to Sacra estimates, and reported over $1 billion in cumulative customer ROI by October 2025. The company, founded by Sam Liang and Yun Fu, provides an AI-powered meeting transcription and conversation intelligence platform. Its core product, OtterPilot, joins virtual meetings on Zoom, Microsoft Teams, and Google Meet to capture, transcribe, and summarize conversations.

In 2025, Otter.ai expanded its enterprise suite with a public API, a Model Context Protocol (MCP) server for AI-to-AI workflows, and advanced AI Chat that queries CRM and document integrations. The company also launched a desktop app for bot-free recording and added Japanese language support. Otter.ai has raised approximately $73 million in disclosed funding, including a $50 million Series B led by Spectrum Equity in 2021.

The company employs roughly 200 people as of mid-2024. CEO Sam Liang has publicly positioned the company as evolving from a meeting notetaker into a "conversational knowledge engine" for enterprises. In April 2026, Otter released a feature allowing users to search across connected enterprise tools including Gmail, Google Drive, Notion, Jira, and Salesforce, with planned support for Microsoft Outlook, Teams, SharePoint, and Slack.

Who buys this

Enterprise sales teams using CRM integrations (Salesforce, HubSpot) to capture meeting insights and automate follow-ups
Knowledge workers and project teams who need searchable meeting archives and automated action-item tracking
Educational institutions (e.g., Harvard) using transcription for lectures and research collaboration
Media and entertainment companies (e.g., NBCUniversal) that rely on accurate meeting records for production coordination

Publicly disclosed clients

Salesforce
Harvard University
NBCUniversal
Amazon
IBM
Walgreens
Mastercard

Strengths and what to watch

Strengths

Proprietary automatic speech recognition (ASR) engine built in-house, providing high transcription accuracy and speaker separation even with overlapping speech
Deep integration with major video conferencing platforms (Zoom, Teams, Google Meet) via platform-specific SDKs, reducing friction for users
Strong enterprise traction with a $100M ARR milestone in 2025 and a customer ROI claim of over $1 billion annually, backed by enterprise customer calculations

Watch for

Heavy reliance on the remote-work tailwind; a return to in-office norms could slow user growth and reduce meeting volume
Competition from native transcription features built into Zoom, Microsoft Teams, and Google Meet, which could erode Otter's differentiation
Valuation uncertainty: Sacra reports a $66.9M valuation as of 2025, which appears low relative to $100M ARR, suggesting either a down round or data discrepancy

Recent moves

Key Information

Industry: Applications - Horizontal, Audio & Voice
Founded: 2018
Headquarters: Mountain View, California

Frequently Asked Questions

What does OtterAI do?

OtterAI automatically records, transcribes, and summarizes meetings from platforms like Zoom and Teams. It turns spoken conversations into searchable knowledge that can be queried and integrated with other business tools for better productivity.

How does OtterPilot work for meeting transcription?

OtterPilot joins virtual meetings on Zoom, Microsoft Teams, and Google Meet to capture, transcribe, and summarize conversations in real time. It uses proprietary automatic speech recognition for high accuracy and speaker separation even with overlapping speech.

What enterprise integrations does OtterAI offer?

OtterAI integrates with Salesforce, HubSpot, Gmail, Google Drive, Notion, Jira, and more. In April 2026, it added cross-tool search across these platforms, with planned support for Microsoft Outlook, Teams, SharePoint, and Slack.

Is OtterAI accurate for transcribing meetings?

Yes, OtterAI uses a proprietary automatic speech recognition engine built in-house. It provides high transcription accuracy and speaker separation even with overlapping speech, making it reliable for capturing detailed meeting records.

What is OtterAI's enterprise suite and recent updates?

In 2025, OtterAI expanded its enterprise suite with a public API, a Model Context Protocol server for AI workflows, and advanced AI Chat that queries CRM and document integrations. It also launched a desktop app and Japanese language support.

How does OtterAI compare to native transcription in Zoom or Teams?

OtterAI offers deeper integrations across multiple platforms and advanced features like cross-tool search and CRM syncing. However, native transcription in Zoom and Teams could erode OtterAI's differentiation as those tools improve.

Sources

sacra.com — Otter.ai ARR of $100M in March 2025, funding history ($73M total), and user base of 25 million
otter.ai — Customer ROI claim of $1B+, enterprise suite features (public API, MCP server, advanced AI Chat), and integration with Teams, Zoom, Google Meet
techcrunch.com — CEO Sam Liang's strategy to evolve beyond meeting transcription into a conversational knowledge engine
techcrunch.com — April 2026 launch of cross-tool search feature connecting Gmail, Google Drive, Notion, Jira, Salesforce
getlatka.com — Headcount of 200 employees (2024), $100M revenue in 2025, and founding year of 2014
otter.ai — Product description, customer logos (Salesforce, Harvard, NBCUniversal, Amazon, IBM, Walgreens, Mastercard), and desktop app availability