| What it does | Cloud computer for every agent, with your tools and team.
| 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 | NO
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| Pricing model | Freemium
| Freemium
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| Pricing | Free: $10 monthly usage credit. Pro: $20/month for $100 monthly usage credit. Max: $100/month for $500 monthly usage credit. Enterprise: custom volume pricing. All plans include 5× usage credit for model calls at provider's API price with no markup. Pay-as-you-go top-ups available.
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| Key features | - Each agent gets its own dedicated computer in the cloud
- Agents keep working after you close your laptop
- Run many tasks in parallel, each on its own computer
- Encrypted vault for credentials and secrets
- Connect tools once, all agents can use them
- Support for any AI model including your own subscriptions
- Multiplayer chats teammates can continue
- Scheduled recurring work on a schedule
- Approval controls for risky actions
- Start tasks from Slack, web app or phone
| - 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 | - Open source under Apache 2.0, self-hostable or run on managed cloud
- Same harness works for team agents, software development automation, and embedding in your product
- No markup on model API costs; credits give 5× value
- Agents run real terminal commands, tests and git operations
- Teams share one workspace with shared integrations and role-based access
| - 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) | 11 ▼ −1 (down) since last check | 23 ● no change since last check |
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| Trust Flow (Majestic) | 11 | 13 |
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| Citation Flow (Majestic) | 30 | 25 |
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| Referring domains (Majestic) | 76 | 79 |
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RELAI