Groundnote vs Thetatron
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Groundnote compared with Thetatron
| Detail | 
Groundnote | 
Thetatron |
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| What it does | AI note taker that turns meetings into decisions and actions
| Brain-based AI that learns on your device without retraining, remembers you, and keeps your data private
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | AU
| US
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| Pricing model | Freemium
| Not given
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| Pricing | Free: up to 5 processed meetings per calendar week, no credit card required. Team: A$9.90/person/month (launch price, locked for 12 months). Business: custom pricing, contact sales.
| Not given
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| Key features | - Automatic extraction of decisions and action items with owners
- Full transcript alongside decisions for verification
- Support for multiple input methods: browser recording, file upload, or transcript paste
- Source quotes with timestamps and speaker attribution
- Evidence and confidence labels for extracted outcomes
- Pre-meeting briefs that resurface overdue items
- Shareable guest recaps that require no account to view
- Email and Slack notifications for meeting summaries
- Integration with task management systems (Jira, Asana, Linear, ClickUp)
- Commitment confirmation workflow for verified ownership
| - Learns continuously on your device without retraining
- Remembers individual users separately
- Runs fully offline on consumer hardware like iPad
- Learns without forgetting existing knowledge
- Consistent performance over long conversations
- Honest about uncertainty
- User controls what it learns
- Works with existing language models
- Corrected facts replace outdated information
- Designed for disconnected networks
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| What makes it different | - Evidence-linked outcomes with full transcripts and timestamps for verification
- Human confirmation of AI-inferred outcomes before they are treated as commitments
- Free plan with no credit card required and generous limits for individuals
- Privacy-first and made in Australia
| - Continual learning architecture that learns in place after deployment, unlike frozen models
- Brain-modeled design with separate organs for memory, sleep, and decision-making
- All learning happens on your device with no data sent to servers
- Works where cloud connectivity is unavailable or undesirable
- Patent-pending learning method usable with other large language models
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 4 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 21 | 0 |
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| Referring domains (Majestic) | 8 | 0 |
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4 details filled in for both companies.
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