| What it does | Web infrastructure that translates your site into an AI-readable version approved by you and served to agents at the edge
| 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 | AE
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| Pricing model | Freemium
| Freemium
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| Pricing | Free eight-week pilot including onboarding and model costs. Three paid plans after pilot: Pay as you go (self-serve, usage-based), Subscription (self-serve, monthly or annual flat fee), and Managed (done by company, pricing quoted per site). All plans quoted per individual site based on page count,
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| Key features | - AI agent rebuilds pages into semantic HTML, FAQs, and structured data
- Vision pass captures facts locked inside images
- Sifted pages use roughly 90% fewer tokens than originals
- Served from edge, humans and search crawlers see original site unchanged
- Before-and-after audit score for every page
- Measures citations and AI referrals from sifted pages
| - 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 | - Only AI agents see sifted pages; humans and Google crawlers see original site unchanged
- Every claim traces 1:1 to original pages; AI never fabricates or adds content
- 90% fewer tokens per page while carrying 37% more readable content
- Human in the loop approval for every page before serving to agents
- Measures results with before-and-after comparison on your traffic
| - 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) | 22 ▲ +1 (up) since last check | 23 ● no change since last check |
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| Trust Flow (Majestic) | 9 | 13 |
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| Citation Flow (Majestic) | 27 | 25 |
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| Referring domains (Majestic) | 61 | 79 |
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SiftServe
RELAI