MiroFish vs Neuron7
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
MiroFish compared with Neuron7
| Detail | M
MiroFish | 
Neuron7 |
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| What it does | A simple and universal swarm intelligence engine
| AI agents for field service, technical support, and customer care
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| Stage | Not given
| Established
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| Founded | Not given
| 2020
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| Based in | Not given
| US
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | 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%.
| Not given
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| Key features | - 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
| - Service Expertise Graph built from case history
- Step-by-step diagnostic guidance adapted to technician role and experience
- Predictive issue identification
- Direct integrations with Salesforce, ServiceNow, SAP, and Microsoft
- Real-time learning and improvement from each case closed
- Multi-region service standardization
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| What makes it different | - 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
| - Deterministic guidance grounded in actual fixes your team has performed, not AI guesses
- Improves with every resolution, creating institutional knowledge at scale
- Fast deployment of weeks, not months, with pilots running quickly
- Levels the playing field so newly onboarded technicians match experienced ones
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 56 ● no change since last check | 48 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 5 | 15 |
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| Citation Flow (Majestic) | 30 | 35 |
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| Referring domains (Majestic) | 160 | 249 |
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4 details filled in for both companies.
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