Today’s AI workplaces generate vast amounts of conversational data from sales calls, user interviews, and internal brainstorming sessions. But much of this information stays stuck in transcripts or forgotten documents, making it tough for teams to find insights and make decisions together.
Granola tackles this problem by turning company conversations into useful context. The London startup just raised $125 million in a Series C round at a $1.5 billion valuation, led by Danny Rimer from Index Ventures and Mamoon Hamid from Kleiner Perkins. Existing investors Lightspeed, Spark, and NFDG also boosted their investments.
Granola is trusted by big companies such as Vanta, Gusto, Thumbtack, and Asana, as well as fast-growing startups like Cursor, Lovable, Decagon, and Mistral AI.
“To make your company’s context work for you”
Chris Pedregal and Sam Stephenson founded Granola in 2023 on the idea that knowledge work should rely on shared understanding rather than scattered documents. Rather than adding more documents or manual steps, Granola uses AI to improve everyday communication and information capture.
Granola’s product approach sees conversation as a valuable data source, combining AI transcription, semantic understanding, and advanced search. The platform helps teams pull insights from any meeting or channel.
For instance, Spaces provide a new way for teams to organise, share, and search contextual notes. Integrated with Granola Chat, which uses large models such as Claude, GPT, and Gemini, users can ask questions and get insights directly from their conversation history.
APIs offer personal- and enterprise-level access, making it easy to move contextual data between tools, while enterprise features include strong admin controls such as SSO, SCIM, and consent-based data management to protect privacy and ensure compliance.
Granola also integrates with a growing range of AI apps, including ChatGPT, Claude, and Lovable, as well as Figma Make, Replit, Bolt.new, and more.
In terms of competition, Granola works alongside tools like Notion, Otter.ai, Fireflies.ai, and newer AI knowledge platforms such as Glean and Mem.ai. What sets it apart is its deep conversation capture and native integrations with large language models, enabling organisations to search for natural, unified context rather than scattered notes.
What comes next
After this funding round, Granola plans to grow its enterprise offerings and integrations, bringing its context layer to more AI and productivity platforms.
The company also shared upcoming updates to its main app, building on Spaces and APIs to make it easier for teams to turn conversations into insights.
