Kuulo vs Granola: what happens when you leave the laptop

Granola is the AI notetaker that people in London tech, VC, and product circles tend to recommend when someone asks which one is actually good. The recommendation is usually accurate for the person giving it: someone who spends most of their day in scheduled meetings on a Mac, values polished note quality over raw feature count, and is happy to pay $14–18/month for something that feels well-made.

The recommendation breaks down quickly when you hand it to a medical student on clinical placement, a student trying to record a lecture on their phone, or a professional who needs their notes available on the device in their pocket rather than the laptop on their desk.

This is not a list of Granola's failures. It is a clear-eyed account of what Granola is built for, what it's not built for, and where the two tools serve genuinely different needs.

What Granola actually does well

The Granola product story is coherent and well-executed.

No bot. Granola captures audio from your Mac's system audio output — it doesn't join your meeting as a visible participant. In a client call, a sensitive negotiation, or a context where a meeting bot would be unwelcome, this is a meaningful advantage over tools like Fireflies and Otter. Independent testing in 2026 rates Granola's transcription accuracy at 90–92%, outperforming Otter (85–88%) and matching Fireflies.

Human-AI hybrid notes. Granola augments your own typed notes with AI context — rather than replacing your writing entirely, it layers intelligence on top of what you captured yourself. Some users find this a more natural workflow than handing off all capture to an AI.

Windows support in 2026. Granola added Windows desktop support in its 2026 update, broadening from Mac-only. This was a significant gap that limited its appeal for cross-platform teams.

Business plan value. At $14/user/month with unlimited meetings, team folders, and integrations to Notion, HubSpot, Slack, and Zapier, the 2026 Business plan is genuinely competitive for desktop-centric teams.

These are real strengths. If you spend your working day in back-to-back video calls on a Mac or Windows laptop, Granola is a well-executed tool.

Where Granola's architecture creates hard limits

No iPhone. No iPad.

Granola is a desktop application. It captures audio from the system audio output of your Mac or Windows machine. If your meeting isn't playing through a computer speaker or headphone — if you're in a room, on a ward, in a lecture theatre, in a client's office, on a building site, in a car — Granola cannot capture it.

This is not a missing feature. It is an architectural fact about what Granola is. The product was designed for video calls happening on a computer screen. The moment the meeting moves off that screen, Granola stops working.

For anyone who records in-person conversations as their primary use case — clinical consultations, patient encounters, fieldwork interviews, lectures, seminars — Granola is simply not the tool.

Cloud processing, regardless of the "bot-free" framing

Granola is consistently described as a privacy-conscious tool. This reputation deserves scrutiny.

Granola does not store your audio recordings — this is confirmed in their documentation and is genuine. After transcription, the audio is deleted. For most business use cases, this is a reasonable privacy posture.

But the audio still travels to Granola's servers for transcription. The pipeline is: audio recorded on device → transmitted to cloud → transcribed by cloud ASR model → text returned → audio deleted. The transcription processing happens on Granola's infrastructure, not your device.

For the majority of users recording business meetings, this is fine. For users recording patient consultations, research participant interviews, therapy sessions, or legally sensitive conversations, the cloud processing step is the exposure — not the storage. GDPR Article 9 special category data requires the highest protection standard; transmitting it to a cloud server for processing, even briefly, is the event that creates the exposure.

Granola's privacy story is: we process it in the cloud, then delete it. Kuulo's privacy story is: it never reaches a cloud, because there isn't one. These are different claims at different levels of the stack.

AI training opt-out requires the $35 Enterprise tier

On Granola's free and Business plans, your transcription data may be used to improve their AI models — a standard industry practice. Opting out of model training requires the Enterprise tier at $35/user/month. For professionals recording sensitive content who want a clean data use position, this is a meaningful hidden cost.

The 25-note history cap on free

Granola's free plan caps note history at 25 notes. Once you exceed 25, older notes become inaccessible — you can't read last month's meeting notes without paying. For a student or early-career professional evaluating the tool, this makes the free tier genuinely difficult to assess over a semester or quarter.

No live translation, no clinical templates

Granola has no live translation feature and no clinical document templates. For multilingual environments or clinical documentation workflows (SOAP notes, ward round summaries, patient clerking), Granola offers nothing specifically designed for those use cases.

The comparison

Who should use Granola

Granola is well-suited for: teams who spend most of their working day in video calls on a computer, work in a stable-internet environment, have no requirement for clinical or research data governance, and want a polished, bot-free desktop note-taking experience. For that profile, $14/user/month is fair value.

Who should use Kuulo

Kuulo is the right choice when:

• You need to record on an iPhone — in a lecture, on a ward, in a client's office, anywhere not at a desk
• Your recordings involve patient, research, legal, or therapeutic data that should not transit a cloud server
• You work in an environment without reliable internet
• You need clinical templates (SOAP notes, ward round summaries)
• You want a speaker-attributed, structured summary from a multi-person conversation
• You want notes that are private by architecture, not policy

The simplest framing: if your meeting is happening on a laptop screen, Granola is a serious contender. If your meeting is happening anywhere else, Kuulo is the tool that can actually capture it.

When Granola goes silent

Every cloud-based AI notetaker shares a structural vulnerability: the recording depends on an active internet connection and an external transcription API. When either fails, the recording stops — silently, without alerting you. You discover the failure when you go looking for notes that aren't there.

This is not hypothetical. On January 29, 2026, Granola's public status page documented: "One of our transcription providers is experiencing an outage, which is impacting Granola transcription. On desktop, your transcript may be interrupted as we fall-back to another transcription provider. On mobile, transcripts/note summaries will be delayed." The iOS app remained affected for over an hour. Every meeting recorded during that window produced no notes.

Granola's own troubleshooting documentation acknowledges a known recurring failure: "Recording or transcription stops after a few minutes." Listed causes include Bluetooth dropout, device sleep, and directly: "Sometimes the connection to our transcription service drops." The fix is to restart Granola and try again at the next meeting. There is no recovery for the meeting that already happened.

For teams operating under HIPAA (US), GDPR (EU/UK), or equivalent data protection frameworks, this silent failure compounds the privacy concern: sensitive audio was transmitted to a cloud processor that may or may not have successfully transcribed it — the data exposure occurred regardless of whether the notes arrived.

Kuulo processes entirely on-device. There is no external transcription API, no cloud dependency, and no server that can fail mid-meeting. A meeting recorded with Kuulo will produce notes regardless of internet quality, API uptime, or Bluetooth stability. The architecture that makes Kuulo private by design is the same architecture that makes it reliable by design.