Otter.ai has secured $320 million from General Catalyst’s Customer Value Fund. The funding comes from a pool designed to support startups without taking equity, with returns tied to marketing performance.
The company plans to spend the capital on enterprise growth, sales strategy, global expansion, and product development.
Founded nearly ten years ago, Otter.ai has raised $50 million in total. PitchBook data shows the last round occurred in 2021.
Annual recurring revenue crossed the $100 million mark last year. Management stated it is nearing new targets but did not release specific figures.
Fourty million users have engaged with the service, a rise from 25 million the previous year. Retention remains a concern in a crowded market. The startup did not share data on monthly active users or churn rates.
“Voice is one of the biggest untapped opportunities in enterprise AI, and Otter is at the forefront of it – a conviction that’s only deepened watching Otter’s growth,” said Pranav Singhvi, Partner and Co-founder of CVF, General Catalyst. “When Otter enables enterprises to capture critical voice data and turns it into actionable business insights, teams move faster, decisions get sharper, and productivity compounds across the organization, and that’s why it’s a strong partner for CVF.”
Competition is intense. Established players include Fireflies.ai, Granola, and Read AI. New entrants such as Calendly, Wispr, and Superhuman—which acquired Fathom—are also active. Other tools like Circleback, Talat, and Quill operate in the space.
Most competitors aim to connect with enterprise systems and automate workflows based on meeting data. Otter is moving in the same direction. Recent updates include a meeting assistant, cross-app search, and integrations with other AI tools.
Alex Gay, the newly appointed CMO who previously worked at Superhuman, told TechCrunch at the HumanX conference last month that the company sees a large opportunity in turning transcripts into actionable roadmaps for people in back-to-back meetings.
“When we start thinking about what is actually the bigger problem that people are facing right now, we saw this large pain point in meeting-heavy roles, where people are back-to-back in conversations. These meetings are the work for them. That’s either customer conversations or, from a sales standpoint. That’s where strategies are discussed. But meetings are terribly inefficient because when you come into a meeting, you spend the first twenty minutes recapping what was said before to catch everybody up,” he said.
The company is now testing insights provided before, after, and during meetings. A feature sends a pre-brief to users containing details and background information, drawing context from previous conversations across different platforms. It is also testing a Live Assist feature that allows users to ask the AI assistant questions during a meeting to retrieve knowledge.
What it means
For people running meetings, the focus shifts from recording audio to managing context. The new pre-briefs mean participants arrive with background data rather than needing time to catch up at the start. Live Assist allows users to query information without stopping the flow of conversation, potentially reducing the twenty-minute recap period mentioned by Gay.
