| What it does | AI agent delivery platform for domain experts to build, deploy, and run agents that complete real work
| A simple and universal swarm intelligence engine
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| Stage | Not given
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| Founded | 2023
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| Based in | US
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| Pricing model | Not given
| Freemium
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| Pricing | Pro plan: $30/month (limited offer, regular $100/month) with 6000 credits plus 14000 bonus credits, 4-core CPU, 4GB RAM, 40GB storage. Managed Agent API and Enterprise plans available.
| 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 | - Agent Builder for building agents through conversation
- 50+ industry agent templates
- Support for 20+ leading models including OpenAI, Claude, Gemini, DeepSeek
- Integration with Google Workspace, Microsoft 365, Slack, Lark, Jira, GitHub
- ZooData for converting URLs into agent-ready JSON
- Approval gates for sensitive operations
- Managed Agent API for production deployment
- Knowledge Management and data collection
- Triggers and scheduled tasks
- Complete auditability with recording of all decisions and tool calls
| - 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 | - Agents built and operated by domain experts, not just engineers
- Production-ready agents live in 7 days with forward-deployed engineers
- Agents operate on real systems with approval gates and complete auditability
- Security-first with tenant isolation, encryption, and role-based access control
- Multi-agent runtime with no vendor lock-in and support for all frontier models
| - 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) | 35 ▼ −1 (down) since last check | 56 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 5 |
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| Citation Flow (Majestic) | 40 | 30 |
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| Referring domains (Majestic) | 138 | 160 |
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ZooWork