
Optiq vs ChatGPT for confidentiality-sensitive professionals
ChatGPT trains on your conversations and stores chats in the cloud. Here's how Optiq compares for law firms, advisors, and other sensitive-work teams.
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Updated August 4, 2026

Granola is one of the best general-purpose AI notetakers, and it deserves credit for two things many competitors get wrong: it captures audio from your computer instead of sending a bot into the call, and it deletes meeting audio once the note is generated. If your meetings are ordinary business meetings, it is a genuinely good product.
The differences show up when the conversations are sensitive. Granola stores your notes and transcripts in its US-hosted AWS cloud, trains its models on de-identified user data by default outside Enterprise, routes content through third-party providers like OpenAI, Anthropic, Deepgram, and AssemblyAI, and states in its own docs that it is not HIPAA compliant, cannot sign a BAA, and should not be used with protected health information. Optiq keeps notes and transcripts on your machine, never trains on your data on any plan, and is being built specifically for organizations that can't have sensitive conversations living in someone else's cloud.
| Optiq | Granola | |
|---|---|---|
| Meeting capture | Recorded on your device from the microphone or system audio. Nothing joins the call. | Also botless: captures your computer's audio without joining the call, and never auto-records. |
| Audio retention | Audio stays on your device, so failed transcription steps can be retried. | Audio is never stored; it is transcribed in real time and discarded once the note exists. |
| Where notes live | In an encrypted database on your machine. | In Granola's US-hosted AWS cloud, encrypted, with a local cache for offline access. |
| Model training | Never, on any plan. | Trains on de-identified user data by default, with an opt-out in settings. Enterprise is opted out by default. |
| Third-party processors | Model calls go to private Venice models with zero data retention. | Content is processed by Deepgram, AssemblyAI, OpenAI, and Anthropic, which are contractually barred from training on it. |
| HIPAA | In private beta. No HIPAA claims yet, and we say so plainly. | States it is not HIPAA compliant, cannot sign BAAs, and should not be used with PHI. |
| Scope | Chat, dictation into any app, meeting notes, and a local agent. | Meeting notes and transcription, AI chat across meetings, integrations, and an API. All meeting-centric. |
| Pricing | Per-seat billing for organizations, with no per-request charges. | Free Basic tier, Business at $14 per user per month, Enterprise at $35. |
| Platforms | macOS and Windows desktop app. | macOS, Windows, iOS, and Android. |
Granola is a strong choice when your meetings are not subject to healthcare, legal, or financial confidentiality rules.
Optiq is built for the conversations Granola's own docs say it should not handle.
Granola and Optiq agree on more than most head-to-head pages admit. Both refuse to send a bot into your meetings, both capture audio on the device, and both treat raw audio as radioactive: Granola deletes it once the note is made, and Optiq never uploads it in the first place. That shared instinct is exactly why the remaining difference matters.
The difference is where the boundary sits. In Granola, the audio dies but the transcript and note are uploaded to Granola's US-hosted AWS cloud, retained indefinitely unless an Enterprise retention policy deletes them. In Optiq, the transcript and note never leave your machine at all. They live in an encrypted local database, and only individual model requests transit a confidential backend with zero retention. For a normal company, cloud notes are a convenience. For a firm or practice handling confidential client work, every stored transcript is something a compliance officer has to account for.
Granola trains its models on de-identified user data by default on its free and Business plans, with an opt-out in settings and a default opt-out for Enterprise. It also routes meeting content through third-party AI providers, which are contractually barred from training on it. That is a reasonable, disclosed setup, but it depends on de-identification pipelines and vendor contracts working as promised, and on every user remembering to flip the toggle.
Optiq's answer is shorter: nothing is trained on your data, on any plan, and model calls default to private Venice models with zero data retention. There is no toggle to remember because there is nothing to opt out of.
Granola is straightforwardly honest here, and we respect it: its docs state that it is not HIPAA compliant, cannot sign business associate agreements, and should not be used to store or process protected health information. For a healthcare team, that is a hard stop, not a trade-off. The same caution applies more broadly: Granola makes no privilege or confidentiality commitments for legal or financial data either.
Optiq is in private beta and does not claim HIPAA or other formal compliance certifications yet either; the difference is direction. Optiq is being built for organizations handling sensitive client and patient work, with local-first storage that keeps most sensitive material off servers entirely, and compliance work is in progress rather than out of scope. There is more detail on our security page.
No. Granola captures your computer's audio directly and never joins the call, the same approach Optiq takes. It also never auto-records; you start it manually for each meeting.
Notes and transcripts are stored encrypted in Granola's US-hosted AWS cloud, with a local cache on your device for offline access. Meeting audio itself is deleted once the note is generated. Optiq keeps notes, transcripts, and audio on your machine.
No. Granola's own documentation states it is not HIPAA compliant, cannot sign BAAs, and should not be used with protected health information. Optiq is in private beta and makes no HIPAA claims yet, but it is being built specifically for organizations that can't have sensitive conversations living in someone else's cloud.
By default on non-Enterprise plans, Granola trains its models on de-identified user data, and you can opt out in settings. Enterprise workspaces are opted out by default. Optiq never trains on your data on any plan.
Optiq is rolling out through a private beta for organizations that can't have meeting notes living in someone else's cloud. Book a demo and we will walk your team through it.
This comparison is based on each product's public documentation as of August 4, 2026. If something here is out of date, email support@tryoptiq.com and we will fix it.

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