Granola

Granola is an AI meeting notes app built by London startup Granola, co-founded in 2023 by Chris Pedregal (previously CEO of UK fintech Cleo) and Sam Stephenson. The core problem it solves is familiar: you can take notes during a meeting, or you can actually pay attention to it, but doing both well at once is genuinely difficult. Granola's answer is to run silently in the background on your computer, capture your device's system audio without sending any bot into the call, and then combine whatever brief jottings you made during the meeting with an AI-generated summary when the call ends. Nobody sees a bot in the participant list. Nobody gets a "recording in progress" notification from a third party.

The app integrates with your calendar to detect meetings automatically, supports Zoom, Google Meet, Microsoft Teams, Webex, and browser-based calls, and outputs notes in a clean Notion-style editor with customizable templates for different meeting types (1:1s, customer calls, standups, sales calls). As of early 2026, Granola also offers an MCP server so Claude, ChatGPT, and Cursor can query your meeting history directly, Spaces for team collaboration with access controls, and Business-plan integrations with Notion, Slack, HubSpot, Attio, Affinity, and Zapier. The app is available on Mac, Windows (added late 2024), and iOS.

What Granola actually is in April 2026

Granola started in 2023 as a two-person project built around a single insight: professionals with client-facing roles, legal exposure, or high-trust relationships actively avoid visible meeting bots. A bot appearing as a participant signals surveillance, makes some clients uncomfortable, and in certain jurisdictions creates legal complexity around consent to record. Granola circumvented all of this by capturing system audio locally, the same way screen-recording software works. The audio is transcribed in real time and then deleted; Granola stores the transcript and notes, not the audio file itself.

By October 2024, when Granola raised its Series A ($20M, led by Spark Capital), it had 5,000 weekly active users. By March 2026, when it raised a $125M Series C led by Index Ventures' Danny Rimer and Kleiner Perkins' Mamoon Hamid, the valuation had jumped from $250M to $1.5B, a 6x increase in under a year. Enterprise clients at time of the Series C included Vanta, Gusto, Asana, Cursor, Lovable, and Mistral AI. Total funding reached $192M.

The product has also evolved beyond a notepad. Granola launched its MCP server on February 4, 2026, enabling AI applications to pull meeting context on demand. A developer can ask Claude, "What did the product manager say about the API deadline?" and get the answer from the most recent relevant meeting. Spaces, launched alongside the Series C in March 2026, added team workspaces with granular folder access controls, making it viable for cross-functional teams rather than just individual contributors.

Chris Pedregal has described the longer-term vision this way: "Conversation transcripts are the richest source of context for what's happening across your company. When paired with powerful AI models, they can unlock workflows that wouldn't.." This points toward Granola becoming less of a note-taker and more of an organizational memory layer.

Where Granola sits versus Otter.ai and Read AI

The key mechanical split between these three tools is where recording happens and what the output is.

Otter.ai deploys OtterPilot, a cloud-based bot that joins your meeting as a visible participant. This means other attendees see it in the participant list and receive notifications. Otter's output is a verbatim transcript with speaker attribution: it identifies who said each line. If you need a complete word-for-word record, Otter does this better than Granola. Otter also has broader platform support (iOS, Android, Windows, Mac, web) and has been available longer. The tradeoff: the bot's presence changes meeting dynamics for some users, particularly in client-facing or legal contexts. Otter is priced from $16.99/mo for paid plans and offers 300 minutes free per month.

Read AI takes a different approach to recording (browser extension or cloud agent, plus a mobile app for in-person meetings) and layers on analytics that Granola does not offer: engagement scores, sentiment analysis, speaking-time metrics per participant, and a more comprehensive post-meeting dashboard. Read AI integrates with HubSpot, Salesforce, Confluence, Jira, Notion, and Slack out of the box, a wider integration surface than Granola's Business plan. The catch: Read AI's free tier allows only 5 meetings per month with full notes, which limits evaluation. It has also drawn criticism for being "added to meetings automatically" without transparent user notification, earning a 1-star rating pattern on Trustpilot from affected users. Read AI costs $19.75/mo on the individual plan.

Granola's position: no bot presence, simpler analytics (none, by design), notes that blend user input with AI, and MCP-native integration for AI developers. It is not trying to be a data platform. The tradeoff is no speaker attribution in transcripts and a more limited integration set compared to Read AI's enterprise depth.

"It's actually unbelievable how good granola.ai is. It replaces writing documents. It's the killer user research tool. The ability to 'chat with the transcript' to come back to a point that was made is pure gold. There's no going back to pre-granola days." - @rauchg (Guillermo Rauch, Vercel CEO), X/Twitter, June 3, 2024

How AI actually works inside Granola

The note-generation mechanism in Granola is worth understanding because it differs from purely AI-generated summaries. During a meeting, you can take notes the usual way. Granola has a scratchpad open for this. After the call ends, the AI does not just summarize the audio transcript; it reads your notes too, and merges the two. The result is a structured summary that preserves your own framing and priorities while filling in context, quotes, and detail you may have missed or shorthandled.

This "note amplification" model means the output reflects human judgment about what mattered, not just whatever the AI decided to extract. Users who take good meeting notes get noticeably better Granola summaries than users who take none. It also means Granola works better as a co-processor than a hands-off recorder. If you want to put the laptop away and let the AI handle everything, Otter or Fireflies are a better fit.

Templates further shape output. You can define a template for customer discovery calls that always extracts pain points, a template for 1:1s that surfaces blockers and commitments, or a template for sales calls that captures pricing discussed and next steps. These can be created and reused across meeting types.

The AI chat feature lets you ask questions across your meeting history: "What did we agree on the pricing model last quarter?" pulls context from multiple past meetings. The MCP server extends this to any compatible AI tool, so developers can give Claude access to their Granola notes and ask questions about past conversations without switching apps.

"The auto transcript and summary are SO GOOD that it has completely changed how I interact in meetings. I just listen and discuss.. then the summary kicks in and it usually describes it better anyways." - Reddit user, r/productivity, 2025

The privacy and consent friction users keep raising

Three recurring issues appear in forums and reviews, and they are worth knowing before you commit.

Participant consent: Granola does not automatically notify other meeting participants that they are being recorded. The app runs on your machine; it does not announce itself. Depending on jurisdiction and context, this may create legal exposure. One Reddit thread from 2025 put it plainly: "Is it weird that it doesn't tell other people that it's recording?" Enterprise plan users can enable an org-wide notification setting that announces Granola's use, but this is not on by default at lower tiers.

Model training defaults: On Basic and Business plans, Granola uses meeting data to train its AI models by default. The opt-out exists but is buried in settings rather than surfaced at onboarding. Enterprise plan includes team-wide model training opt-out as a native control. If you are recording sensitive client conversations, this default matters.

Link-sharing defaults: As of early 2026, notes are shareable via link by default, meaning anyone with the URL can read the meeting summary. Reports in tech media described this as "Granola's private notes are public by default." The company addressed this in product updates, but the default behavior generated significant discussion in productivity communities.

No audio playback: Granola transcribes in real time and deletes the audio. If the transcript contains an error (a misheard name, a wrong number, a garbled sentence), you cannot go back and replay the recording to verify. Users in finance, legal, or technical roles who discuss specific figures frequently report needing to manually double-check outputs.

No speaker attribution: Even in multi-person calls, Granola transcripts do not attribute speech to specific participants. The tl;dv reviewer testing the product in 2026 noted: "I'm surprised it doesn't identify speakers in its transcription." If who-said-what matters for your use case, Otter's speaker identification is a significant advantage.

Who Granola is for

Use Granola if: You are an executive, VC, lawyer, consultant, or anyone in a client-facing role who values the social signal of not having a bot in the meeting. You run back-to-back meetings and need concise structured summaries fast. You are already in the Notion, Slack, or HubSpot ecosystem. You want your meeting notes to flow into your AI coding or writing tools via MCP. You prefer to remain present in conversations rather than typing furiously.

Skip Granola if: You need verbatim transcripts with speaker attribution for legal, compliance, or team review purposes. You are Windows-first and need feature parity with Mac (still catching up). You have deep Salesforce or Pipedrive integration requirements (not available as of April 2026). Your team's note workflow runs through Google Docs (no native export). You are in a jurisdiction with strict two-party consent laws and need participant notification built in at the meeting level, not opt-in at the org level. You want your AI to work completely hands-off without any manual note input during the call.

Granola's user base skews toward tech-adjacent professionals, founders, and operators who attend many meetings and want the intelligence without the awkwardness. At $14/user/month on the Business plan, cheaper than Fathom, tl;dv, or Read AI, it has become one of the better-value options in its segment, especially since the pricing restructure in 2026.