Granola secures $125M funding, reaches $1.5B valuation while expanding into enterprise AI

AI note-taking startup Granola has secured $125 million in Series C funding, pushing its valuation to $1.5 billion, as the company continues its expansion into enterprise-focused AI tools. The round was led by Danny Rimer at Index Ventures, with participation from Mamoon Hamid at Kleiner Perkins.

The funding marks a significant jump in valuation from $250 million during its previous round. Existing investors, including Lightspeed Venture Partners, Spark Capital, and NFDG, also participated. With this latest raise — which comes less than a year after a $43 million round — Granola has now raised a total of $192 million.

Granola’s growth has been fueled by its approach to meeting transcription. While users may be hesitant about visible bots attending meetings, many are comfortable with a background application quietly recording and summarising discussions. This subtle experience has played a key role in the product’s adoption.

Originally built as a prosumer tool that runs locally on a user’s computer to transcribe meetings and generate notes, Granola has been steadily evolving into a more enterprise-ready platform. Last year, the company introduced collaborative note-sharing features, allowing teams to work together on meeting outputs. Since then, the startup has gained traction among enterprise customers, including Vanta, Gusto, Thumbtack, Asana, Cursor, Lovable, Decagon, and Mistral AI.

Alongside the funding announcement, Granola is launching a new feature called Spaces, a shared workspace for teams. Within Spaces, users can organise content into folders, apply granular access controls, and query notes at both workspace and folder levels. This addition is designed to make knowledge management more structured and accessible across organisations.

As AI-powered meeting notes become widely available, Granola is shifting its focus to deeper integration with workflows. Earlier this year, the company introduced a Model Context Protocol (MCP) server, and it is now expanding its capabilities with two new APIs to embed note data into broader AI systems.

The newly introduced personal API allows individuals to access their own notes as well as those shared with them, while the enterprise API enables administrators to manage and utilise team-wide context. The personal API is available for business and enterprise users, whereas the enterprise API is reserved exclusively for enterprise customers.

These updates follow feedback from users who were frustrated when Granola restricted access to its local database, disrupting on-device AI workflows. Co-founder Chris Pedregal explained that the company’s local cache was not originally designed to support such workflows, leading to changes in how data was stored. Those changes unintentionally broke existing integrations, prompting the company to develop APIs that allow users to access data more effectively.

Granola has also updated its MCP server to improve visibility into shared notes and folder-based content. The platform already integrates with a range of tools, including Claude, ChatGPT, Figma, Replit, Manus, v0, Bolt (new), Duckbill, and Dreamer, with plans to add more partners over time.

As meeting transcription becomes a standard feature across many platforms, the competitive edge in this space is shifting toward enabling meaningful actions based on captured data. This includes generating follow-up emails, scheduling meetings, and leveraging company data from CRMs and internal systems to move deals forward.

Other companies, such as Read AI, Fireflies, and Quill, are also exploring similar directions, suggesting that the next phase of innovation in this category will centre on translating insights into execution.