Lansy Desk vs MiroFish
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Lansy Desk compared with MiroFish
| Detail |
Lansy Desk | M
MiroFish |
| What it does | Meeting notes and minutes from every call without a bot joining
| A simple and universal swarm intelligence engine
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| Stage | Not given
| Not given
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| Founded | Not given
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| Based in | AE
| Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Not given
| Starter: $7.50/month (monthly) or $9/month (annual); Pro: $15.83/month (monthly) or $19/month (annual); Premium: $40.83/month (monthly) or $49/month (annual). Annual plans save 17%.
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| Key features | - Records meetings without a bot joining the call
- Automatic summaries with tasks, owners and deadlines
- Works with Zoom, Meet, Teams, Webex, softphones and messengers
- Individual skill profiles and competency scoring
- Team-wide dashboard for managers
- Integration with Claude and ChatGPT
- Available on macOS, Windows and Linux
- Recordings stored locally on your computer first
- End-to-end encryption and UAE PDPL compliance
- Continue recording if internet drops
| - Upload PDF, Markdown, and text documents to seed simulations
- Convert source material into ontology and graph structure
- Run parallel simulations with up to 1 million agents per run
- Generate prediction reports with key risks and confidence signals
- Deep interaction through ReportAgent or direct character interviews
- Dual-surface simulation across Twitter and Reddit style channels
- Follow-up questions in the same workspace for continued analysis
- Build executable scenarios for public opinion, market, policy, and narrative use cases
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| What makes it different | - Records calls without a bot joining the meeting
- Only the installer needs the app; other participants install and confirm nothing
- Skill profiles build automatically from real calls, replacing manual performance reviews
- Managers see team insights without accessing individual recordings
| - Inspectable AI forecasts treated as exploratory hypotheses before operational decisions
- Review simulations before upload with the Forecast Explorer gallery
- Graph-native simulation that exposes actor incentives, narrative spread, and reaction chains
- Templates and guides for recurring scenario types like crises and product launches
- Keeps judgment with humans on scenario boundaries and high-stakes operating calls
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 11 ▲ +1 (up) since last check | 56 ● no change since last check |
| Trust Flow (Majestic) | 0 | 5 |
| Citation Flow (Majestic) | 15 | 30 |
| Referring domains (Majestic) | 2 | 160 |
4 details filled in for both companies.
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