| What it does | Full-stack Model Context Protocol platform for building, testing, and deploying MCP servers and agentic AI applications
| 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 | Hobby: free forever with 30k requests/mo; Pro: $30/org/mo with 300k requests/mo included and $0.10 per 1k extra requests beyond 300k; Enterprise: custom pricing starting at $250/mo with dedicated infrastructure and custom SLAs.
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| Key features | - Open-source TypeScript SDK with declarative decorators and Zod validation
- NitroStudio desktop IDE for visual tool testing and AI reasoning visualization
- NitroCloud serverless hosting with auto-scaling and custom domains
- GitHub integration for one-click deployment
- Enterprise authentication modules
- White-label NitroChat AI interface
- 99.99% uptime SLA on NitroCloud
- API to MCP conversion tools
| - 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 | - Designed for teams building custom MCP tools from their own APIs, not a catalog of prebuilt connectors
- Complete full-stack platform combining SDK, IDE, and cloud hosting in one suite
- Open-source core with npm-installable packages for SDK, CLI, and UI widgets
- 80,000 deployments and 13 million requests already in production
- Enterprise-grade security with AES-256 encryption and JWT authentication
| - 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) | 15 ▼ −1 (down) since last check | 23 ● no change since last check |
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| Trust Flow (Majestic) | 7 | 13 |
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| Citation Flow (Majestic) | 28 | 25 |
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| Referring domains (Majestic) | 125 | 79 |
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NitroStack
RELAI