Granola
Bot-free AI notepad that enhances your meeting notes
- Overview
- Granola captures meeting audio locally on your device and enhances your rough notes into structured summaries — no bot joins the call, so attendees see no recording notification. The product has expanded from a solo Mac tool into a cross-platform (Mac, Windows, iOS, Android, Apple Watch) team layer, with Spaces for shared context, Recipes for repeatable post-meeting workflows, and an MCP server that lets tools like Claude and ChatGPT pull from your meeting notes directly.
- Why it matters
- Granola's $125M Series C at a $1.5B valuation in March 2026 signals a deliberate move from prosumer novelty to enterprise knowledge infrastructure — meeting notes as a queryable, shareable data layer rather than a personal archive. At $14/user/month it undercuts most bot-based transcription tools while avoiding the consent and optics friction those bots create. The MCP integration is the strategic bet to watch: if meeting context flows automatically into coding, CRM, and AI chat tools, Granola becomes a harder-to-displace data moat. Lock-in risk rises proportionally as team Spaces and cross-tool integrations accumulate.
- In practice
- Sales and CS teams use Granola on Business to auto-push call summaries into HubSpot or Attio via the native integration, then use Recipes to draft follow-up emails without manual copying. Consultants on the free tier use it for client calls where a visible bot would feel intrusive, then upgrade when they need Notion sync or full note history. The honest limitation: speaker attribution weakens noticeably in calls with three or more participants, and the AI training opt-out is gated to the $35/user Enterprise tier — a real concern for teams handling sensitive client conversations.
- Best for
- Professionals and small teams who take their own notes and want AI to structure them, without exposing a recording bot to call attendees
- Pricing
- Basic free (note history capped at last 30 days); Business $14/user/month (unlimited history, integrations, MCP, Recipes); Enterprise $35/user/month (SSO, API access, org-wide AI training opt-out)
Key features
- Invisible meeting capture — no bot joins the call
- Enhances your own rough notes with full transcript context
- Recipes: reusable AI prompt workflows for post-meeting tasks (follow-ups, PRDs, action items)
- MCP server connects meeting context to Claude, ChatGPT, Cursor, and other AI tools
- Team Spaces with shared folders, access controls, and cross-meeting AI chat
Quick answers
- What is Granola?
- Granola captures meeting audio locally on your device and enhances your rough notes into structured summaries — no bot joins the call, so attendees see no recording notification. The product has expanded from a solo Mac tool into a cross-platform (Mac, Windows, iOS, Android, Apple Watch) team layer, with Spaces for shared context, Recipes for repeatable post-meeting workflows, and an MCP server that lets tools like Claude and ChatGPT pull from your meeting notes directly.
- Why does Granola matter?
- Granola's $125M Series C at a $1.5B valuation in March 2026 signals a deliberate move from prosumer novelty to enterprise knowledge infrastructure — meeting notes as a queryable, shareable data layer rather than a personal archive. At $14/user/month it undercuts most bot-based transcription tools while avoiding the consent and optics friction those bots create. The MCP integration is the strategic bet to watch: if meeting context flows automatically into coding, CRM, and AI chat tools, Granola becomes a harder-to-displace data moat. Lock-in risk rises proportionally as team Spaces and cross-tool integrations accumulate.
- What is Granola best for?
- Professionals and small teams who take their own notes and want AI to structure them, without exposing a recording bot to call attendees
- How much does Granola cost?
- Basic free (note history capped at last 30 days); Business $14/user/month (unlimited history, integrations, MCP, Recipes); Enterprise $35/user/month (SSO, API access, org-wide AI training opt-out)
Seen in recent stories
Where Granola showed up in the last 90 days of KeyNews editions.
Know the terms
Glossary entries that explain what Granola is built on.
MCP (Model Context Protocol)
An open standard (created by Anthropic) that lets AI models connect to external tools, data sources, and services through a unified interface. MCP is becoming the USB-C of AI integrations.
Agentic workflow
A multi-step process where an AI agent plans, executes, evaluates, and iterates on tasks with minimal human intervention. Unlike single-turn prompts, agentic workflows involve loops, branching logic, and tool calls that unfold over minutes or hours.
Data moat
A competitive advantage derived from proprietary datasets that competitors cannot easily obtain or replicate. Data moats can come from user-generated content, domain-specific corpora, real-world telemetry, or exclusive licensing agreements.
Co-pilot
An AI assistant that works alongside a human user within an existing workflow, providing suggestions, automating sub-tasks, and augmenting productivity while keeping the human in control of final decisions.
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