| What it does | Control plane for agentic AI security on the endpoint
| The continual learning engine for AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Freemium
| Freemium
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| Pricing | Kirin: Free ($0/mo) for individual developers and small teams (1-5 users), Team plan at $15/mo per user for growing teams (5+ users), Enterprise plan with custom pricing. AgentMesh: Free ($0/mo) with 300 items per category, Premium at $15/mo per user, Pro at $850/mo per user for unlimited API access
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| Key features | - Policy enforcement before agent execution
- Blocks prompt injections and rogue agent actions
- Real-time detection of malicious behavior
- MCP server scanning and blocking
- Shadow AI discovery across organization
- Secrets detection and prevention
- Skills and extensions vetting
- Dangerous artifacts rejection
- Support for Cursor, Claude Code, GitHub Copilot, Windsurf
- Minute-level deployment
| - Capture signals from code, requirements, and production traces
- Build and maintain EvalsWiki as versioned behavioral knowledge
- Find missing eval coverage and unclear expectations
- Generate complete evals with scenarios, environments, and evaluators
- Optimize harness across prompts, tools, workflows, and code
- Multi-objective optimization for quality, cost, latency, and KPIs
- Model selection, migration, and routing with evaluation
- Regression-controlled improvement with evaluation evidence
- Versioned storage in repository with pull requests
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| What makes it different | - Visibility into shadow AI across enterprise systems
- Unified control plane for multiple coding agents and IDEs
- Supply chain threat discovery before components run
- Secure coding enforcement with threat modeling
| - Turns failures into replayable learning environments
- Prevents regressions by keeping previous evals in the loop
- Integrates with existing observability stacks and traces
- Preserves business intelligence versioned in repository
- Adapts harness to model changes without redefining use cases
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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) | 62 ▲ +1 (up) since last check | 23 ● no change since last check |
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| Trust Flow (Majestic) | 16 | 13 |
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| Citation Flow (Majestic) | 40 | 25 |
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| Referring domains (Majestic) | 810 | 79 |
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Knostic
RELAI