| What it does | AI agents and workflow automation for GTM teams
| The continual learning engine for AI agents
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| Stage | Not given
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| Founded | 2023
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| Based in | US
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| Pricing model | Freemium
| Freemium
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| Pricing | Free plan: $0/month with 2,000 credits, 3 active agents, 2,000 tasks/month, 1 user. Startup: $12/month with 10,000 credits, up to 15 active agents, 5 users. Growth: $34/month with 10,000 credits, up to 50 active agents, 25 users. Teams: $56/month with 10,000 credits, up to 100 active agents, unlimit
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| Key features | - Visitor intelligence identification and ICP matching
- Outbound prospecting with contact enrichment
- Automated pipeline enrichment from multiple sources
- Sales research and call brief preparation
- Campaign personalization with company context
- Inbound lead scoring and qualification
- Three operating modes: autopilot, human-in-the-loop, and chat
- 500+ app integrations with one-click connection
- Custom workflow builder with logic and flow controls
- Task history, analytics and dashboard reporting
| - 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 | - Deploy in minutes without engineering setup or technical requirements
- Enterprise-ready with data privacy and no training on customer data
- Eliminates manual prospecting and research through automated agents
- Real-time CRM synchronization across all connected tools
- Personalized outreach at scale for every prospect
| - 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) | 58 ▲ +1 (up) since last check | 23 ● no change since last check |
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| Trust Flow (Majestic) | 23 | 13 |
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| Citation Flow (Majestic) | 17 | 25 |
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| Referring domains (Majestic) | 182 | 79 |
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