For professionals in back-to-back meetings, Granola is an AI notepad that combines your typed notes with AI transcription, evolving into an enterprise context layer with cross-meeting agentic Chat, pre-meeting Briefs, and an MCP server other AI tools can query.
Presence & Market Position
#2 of 79
AI-Native GTM Challengers
▲ 31 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Granola is working to become the context layer around meetings: a notepad that captures a person’s rough notes and transcripts, then makes that record available for preparation, retrieval, and other tools. It has a strong presence in the AI productivity and GTM-tool conversation, where it appears as a personal meeting-capture product and as an input to broader knowledge and account workflows. The discussion spans everyday use, comparisons with other note-taking approaches, integrations into connected workspaces, and the practical value of bringing meeting context into agent-led research and follow-up.
Nooks
Qualified
DevRev
Fin (Intercom)
FirefliesFigma, Asana, Bumble, Intercom, Ramp, Vercel, Cursor, Linear, Brex, Replit
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Business Profile
Founded in London in 2023, Granola grew from a personal meeting notepad into a business selling shared conversation context to teams. The independent company has roughly 67 employees and $192M in total funding. Its $125M Series C, announced March 25, 2026, was led by Index Ventures at a $1.5B valuation. That round accompanied shared Spaces, expanded access controls, and APIs for individuals and enterprises. The commercial expansion builds on adoption at companies including Asana and Cursor, with enterprise administration and integrations extending the product beyond individual note-taking.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Granola's agent-facing build-out started with an MCP server in February 2026 connecting meeting notes to Claude, ChatGPT, Cursor, and other MCP-compatible tools, followed by personal and enterprise APIs for programmatic access. Subsequent releases pushed transcript data toward agent consumption specifically: an agentic Chat rebuild that reasons across a full meeting archive with citations, and a speaker-attribution field added to the API so an agent can query who said what, not just a call summary.
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