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Nexilume AI vs RELAI

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

Nexilume AI compared with RELAI
DetailNexilume AI logo Nexilume AIRELAI logo RELAI
What it doesEdge-first agent serving framework for cloud, OpenWrt, and device deployment The continual learning engine for AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelNot given Freemium
PricingNot given RELAI Free: $0. RELAI Enterprise: Custom pricing.
Key features
  • Deploy agents across cloud, OpenWrt nodes, and custom runtimes with unified SDK
  • Discover agent capabilities and route calls based on live state, identity, and policy
  • Agents operate authorized computers and phones securely
  • Team token management with project-scoped access and attributable usage
  • Adaptive API pool connecting multiple providers with health, quota, and cost selection
  • Enterprise OpenWrt router with policy routing and audit trails
  • Self-hosted Community edition under Apache 2.0 license
  • Organization-level access control and tenant management
  • 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
  • Single unified network connecting agents across cloud, edge, and devices
  • OpenWrt router for private network agent discovery and policy routing
  • Secure device operations with audit trails through cloud interfaces
  • Both self-hosted Community and managed Enterprise Cloud options
  • Adaptive API failover with multi-provider capacity pooling
  • 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)1 no change since last check22 −1 (down) since last check
Trust Flow (Majestic)113
Citation Flow (Majestic)2125
Referring domains (Majestic)979

3 details filled in for both companies.

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