| What it does | Ship agents into systems you can't afford to break
| Governance-first security framework for autonomous AI systems
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | IL
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| Pricing model | Freemium
| Open source
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| Pricing | Free plan includes 125,000 tasks and 75,000 triggers monthly with 5 seats and 1 on-prem agent. Starter: $29/month or $24/month billed annually. Business: $289/month or $240/month billed annually. Enterprise: custom pricing.
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| Key features | - MCP server for AI agents and assistants
- Python and TypeScript SDKs
- REST API and CLI for scripts and coding agents
- No-code workflow canvas
- Managed authentication to connected systems
- Audit trail of agent actions
- Tool permissions scoped per agent
- On-premises agent for systems behind firewall
- Native integrations with Zendesk, Intercom, Freshdesk, ServiceNow, SAP, NetSuite, Salesforce
- Root cause analysis and backend execution of fixes
| - Constitutional governance charter with 11 articles defining AI autonomy boundaries
- ATX-1 threat matrix taxonomy for agentic AI systems
- Python runtime implementation of AGP-1 for policy evaluation
- TypeScript and Python SDKs for governance integration
- Federation protocol for cross-domain AI governance
- Versioned, citable, openly licensed specifications
- Standards engagement with NIST, IEEE, and NCCoE
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| What makes it different | - Secure enterprise-grade controls including granular tool permissions, audit trails, and versioning without sacrificing automation speed
- Autonomous AI agents that execute fixes end-to-end rather than just deflecting to chatbots or escalations
- Multiple interface options including MCP, SDKs, API, CLI, and no-code canvas for different developer and non-developer needs
- On-premises deployment capability for regulated or sensitive systems behind firewalls
- Seamless integration with entire enterprise tech stack including ERP, CRM, helpdesk, and observability platforms
| - Governance-first approach where policy is evaluated before action, not after
- Deterministic enforcement with transparent audit trails and non-bypassable human oversight
- Non-partisan engagement with policymakers regardless of jurisdiction or political orientation
- Human-directed with transparent AI collaboration in research and development
- Deny by default principle: anything not explicitly authorized is prohibited
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 33 ● no change since last check | 28 ▲ +14 (up) since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 31 | 22 |
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| Referring domains (Majestic) | 75 | 6 |
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Engini
AEGIS Initiative