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Engini vs RELAI

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Engini compared with RELAI
DetailEngini logo EnginiRELAI logo RELAI
What it doesShip agents into systems you can't afford to break The continual learning engine for AI agents
StageNot given Not given
FoundedNot given Not given
Based inIL Not given
Pricing modelFreemium Freemium
PricingFree plan includes 125,000 tasks and 75,000 triggers monthly with 5 seats and 1 on-prem agent. Starter: $29/month or $24/month billed annually. Business: $289/month or $240/month billed annually. Enterprise: custom pricing. RELAI Free: $0. RELAI Enterprise: Custom pricing.
Key features
  • MCP server for AI agents and assistants
  • Python and TypeScript SDKs
  • REST API and CLI for scripts and coding agents
  • No-code workflow canvas
  • Managed authentication to connected systems
  • Audit trail of agent actions
  • Tool permissions scoped per agent
  • On-premises agent for systems behind firewall
  • Native integrations with Zendesk, Intercom, Freshdesk, ServiceNow, SAP, NetSuite, Salesforce
  • Root cause analysis and backend execution of fixes
  • 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
What makes it different
  • Secure enterprise-grade controls including granular tool permissions, audit trails, and versioning without sacrificing automation speed
  • Autonomous AI agents that execute fixes end-to-end rather than just deflecting to chatbots or escalations
  • Multiple interface options including MCP, SDKs, API, CLI, and no-code canvas for different developer and non-developer needs
  • On-premises deployment capability for regulated or sensitive systems behind firewalls
  • Seamless integration with entire enterprise tech stack including ERP, CRM, helpdesk, and observability platforms
  • 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
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)33 no change since last check23 no change since last check
Trust Flow (Majestic)513
Citation Flow (Majestic)3125
Referring domains (Majestic)7579

5 details filled in for both companies.

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