| What it does | The continual learning engine for AI agents
| Context layer platform for regulated industries
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | RELAI Free: $0. RELAI Enterprise: Custom pricing.
| Free: $0, includes up to 5 members, 100 context nodes, and 100 MB of indexed content. Team: $25 per seat per month (or $200 per seat billed annually), includes up to 25 members, 1,000 context nodes, and 1 GB of indexed content. Enterprise: custom pricing, includes Forward Deployed Engineers, Hybrid
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| Key features | - 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
| - Model-agnostic: runs on Claude, GPT, Gemini, or open-weight models
- Full observability: trace every tool call, retrieval, and reasoning step
- Isolated execution: tool calls run in isolated environments by default
- Code mode: reduces token usage to one-third of traditional approaches
- Self-hosted on your infrastructure: cloud, on-prem, or air-gapped
- MCP server integration: works with existing MCP servers unchanged
- Open source under MIT license
- Automatic model failover and switching
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| What makes it different | - 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
| - Isolated by default with no direct system access
- Reduces token usage to approximately one-third
- Runs end-to-end air-gapped with no external network calls
- Full transparency through open agent-observability spec (AVP)
- No vendor lock-in: switch models without rewriting agents
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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) | 22 ▼ −1 (down) since last check | 38 ● no change since last check |
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| Trust Flow (Majestic) | 13 | 14 |
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| Citation Flow (Majestic) | 25 | 28 |
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| Referring domains (Majestic) | 79 | 102 |
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RELAI
Port of Context