| What it does | Enterprise agentic automation platform that unifies data, reasons with AI agents, and executes workflows across 180+ systems
| A simple and universal swarm intelligence engine
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| Stage | Not given
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| Founded | Not given
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| Based in | IN
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| Pricing model | Not given
| Freemium
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| Pricing | Forever Free: $0/forever (5 credits/day, 1 user, 100MB storage). Standard: $29/month (120 credits/month, up to 5 users). Growth: $99/month (400 credits/month, up to 10 users). Business: $199/month (850 credits/month, up to 25 users). Enterprise: $499/month (2,100 credits/month, up to 100 users). Cus
| 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 | - Connect 180+ enterprise systems including ERPs, CRMs, databases, APIs and files
- Natural language data transformation and analysis
- No-code workflow builder for business teams
- AI agents with human-in-the-loop approvals
- Multi-step reasoning across long-running workflows
- Predictive forecasting with statistical models and machine learning
- Interactive dashboards and reports built from natural language
- Full data lineage and audit trails for governance
- On-premise or private cloud deployment options
- Role-based access control with encryption in transit and at rest
| - 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 | - Unified intelligence and execution layer - same system that reconciles data also carries out resulting actions
- Agentic reasoning adapts to exceptions instead of failing on them
- Self-operating workflows that improve as they handle more cases
- Model-agnostic platform supporting multiple LLMs and deployment options
- Deployment inside customer perimeter with data residency controls
| - 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) | 27 ▼ −1 (down) since last check | 56 ● no change since last check |
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| Trust Flow (Majestic) | 20 | 5 |
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| Citation Flow (Majestic) | 20 | 30 |
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| Referring domains (Majestic) | 70 | 160 |
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Mimasa AI