Otter.ai co-founders Sam Liang and Yun Fu, CEO and CTO respectively, following the company's $320 million growth financing announcement.
Otter.ai has secured $320 million in repayable, non-equity growth financing from General Catalyst's Customer Value Fund. The company plans to expand enterprise sales, international operations and AI-powered workflow capabilities.

Otter.ai, a Mountain View, California-based AI meeting assistant and conversational knowledge platform, secured $320 million in growth financing from General Catalyst’s Customer Value Fund (CVF). The company announced the transaction on October 20, 2026.

The financing is non-equity and repayable, allowing Otter.ai to access growth capital without diluting existing shareholders. Co-founder and CEO Sam Liang told Reuters that the company would repay the financing with interest as its sales and marketing investments generate revenue.

Founded in 2016 by Sam Liang and Yun Fu, Otter.ai develops AI-powered software that records, transcribes, summarizes and organizes spoken conversations. Its platform converts meetings into searchable transcripts, identifies speakers, extracts action items and connects conversation data with enterprise applications.

The company plans to deploy the financing toward enterprise customer acquisition, sales and marketing expansion, international growth and product development. Its product roadmap includes enterprise AI agent workflows designed to turn information from meetings into automated actions across workplace tools.

Liang said Otter.ai intends to double or triple its sales and marketing budget, expand its sales team and increase international marketing activity. The company is also targeting significant growth in enterprise revenue.

Otter.ai reported more than 40 million users worldwide, with its software used by teams at over 86% of Fortune 500 companies. The company also said its platform had transcribed more than one billion meetings.

The financing supports Otter.ai‘s expansion from AI-powered meeting transcription into enterprise conversational knowledge management, with a focus on making information captured during meetings accessible for search, collaboration and workflow automation.

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