London’s Granola raises $125M to turn meeting recordings into enterprise AI infrastructure

Granola, the London-based AI meeting app that records conversations without dropping a bot into the call, has raised $125 million in a Series C round led by Danny Rimer at Index Ventures, with participation from Mamoon Hamid at Kleiner Perkins. The round values the company at $1.5 billion, a sixfold increase from its $250 million valuation less than a year ago, and brings total funding to $192 million.

Existing investors Lightspeed Venture Partners, Spark Capital, and NFDG, the venture firm run by Nat Friedman and Daniel Gross, also participated. Rimer will join Granola’s board as an observer.

The valuation leap is striking even by the standards of the current AI funding boom. In May 2025, Granola raised a $43 million Series B from NFDG at a $250 million valuation. Before that, it closed a $20 million Series A in October 2024 with just 5,000 weekly users, and a $4.25 million seed round from Lightspeed and betaworks in May 2023. The trajectory from seed to unicorn in under three years is unusually fast, though not without precedent in this market cycle.

What Granola actually does

The product’s appeal is deceptively simple. Granola sits on a user’s computer and records meeting audio locally rather than sending a visible bot into the call. It transcribes the conversation, generates structured notes, and makes those notes searchable across an organisation. The approach matters because many professionals, particularly in sales, legal, and executive functions, find meeting bots intrusive. Granola’s pitch is that it captures the same information without the social awkwardness.

The company, founded in 2023 by Chris Pedregal and Sam Stephenson, has since expanded well beyond note-taking. Granola Chat lets users query their conversation history using Claude, GPT, or Gemini. Spaces allow teams to organise, share, and search contextual notes across meetings and channels. And earlier this year, the company launched a Model Context Protocol server and two new APIs, one personal and one enterprise-grade, that let users and administrators integrate meeting context into external AI workflows.

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That last feature is the one Pedregal is betting the company’s future on. AI meeting notes are becoming a commodity, with Otter.ai, Fireflies.ai, Read AI, and Quill all offering variants of the same transcription-plus-summary formula. Granola’s argument is that the real value is not in the notes themselves but in making the knowledge locked inside conversations accessible to other systems. If an AI agent can pull context from every meeting a team has ever had, the reasoning goes, it can make better decisions about what to do next.

The enterprise pivot

The funding is explicitly earmarked for enterprise expansion. Granola counts Vanta, Gusto, Thumbtack, Asana, Cursor, Lovable, Decagon, and Mistral AI among its customers, a mix that spans compliance, fintech, home services, project management, developer tools, and AI itself. The enterprise API includes SSO, SCIM, and consent-based data management, the table-stakes infrastructure that large organisations require before adopting any tool that records employee conversations.

The competitive landscape is crowded and moving quickly. Fireflies.ai has built a user base of more than 16 million and reached a $1 billion valuation. Otter.ai has been in the market since 2016 and holds significant brand recognition. Glean and Mem.ai are approaching the same problem from the enterprise knowledge management side. And the incumbents, Notion, Microsoft, and Google, are all building AI meeting features into their existing productivity suites.

Granola’s advantage, if it holds, is that it arrived early to the intersection of meeting intelligence and agentic AI. The MCP server, the APIs, and the LLM integrations position it as a context layer rather than a standalone app, something other AI tools can query rather than compete with. Whether that positioning survives contact with Microsoft Copilot and Google Gemini at enterprise scale is the central question the next two years will answer.

The valuation question

A $1.5 billion valuation for a company that was worth $250 million ten months ago invites scrutiny. Granola has not disclosed revenue figures, user counts, or retention metrics publicly. The AI meeting assistant market is projected to grow from roughly $3.5 billion in 2025 to more than $34 billion by 2035, according to Market Research Future, which gives the category room to support multiple large companies. But the gap between market potential and demonstrated revenue remains wide across the sector.

What Granola does have is product-market fit in a specific niche: professionals who want AI-powered meeting intelligence without the friction of a visible bot. That niche has proved large enough to attract Index Ventures and Kleiner Perkins, two firms that do not typically chase early-stage hype. Whether it proves large enough to justify a $1.5 billion price tag will depend on how quickly the enterprise product converts pilots into contracts, and how defensible the context-layer strategy turns out to be against competitors with far larger distribution networks.