Harmony vs MiroFish
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Harmony compared with MiroFish
| Detail | 
Harmony | M
MiroFish |
|---|
| What it does | AI agents that resolve IT and HR requests inside Slack and Teams
| A simple and universal swarm intelligence engine
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| Stage | Startup
| Not given
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| Founded | 2025
| Not given
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| Based in | US
| Not given
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| Pricing model | Contact for pricing
| 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 | - AI Service Desk Agent in Slack and Microsoft Teams
- 100+ pre-built AI agents out-of-the-box
- No-code AI agent builder
- Automated knowledge base generation
- IT asset and software management
- Automatic ticket classification and routing
- Multi-channel ticket intake
- Bi-directional integration with ServiceNow, Jira, Freshservice
- 100+ integrations
- Four-layer security architecture
| - 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 | - Resolves up to 90% of routine IT and HR requests autonomously
- Reduces ticket resolution time from days to minutes
- Automatically generates and maintains dynamic knowledge base from tickets and interactions
- No-code agent building in plain English with Harmony Genie
- Works natively in Slack and Teams where employees already work
| - 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 |
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| DR (Domain Rating by Ahrefs) | 44 ▲ +1 (up) since last check | 56 ● no change since last check |
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| Trust Flow (Majestic) | 13 | 5 |
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| Citation Flow (Majestic) | 34 | 30 |
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| Referring domains (Majestic) | 184 | 160 |
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4 details filled in for both companies.
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