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Mobilebox vs RELAI

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

Mobilebox compared with RELAI
DetailMobilebox logo MobileboxRELAI logo RELAI
What it doesMobile sandboxes for your AI agents controlled over REST API and MCP The continual learning engine for AI agents
StageNot given Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelPaid Freemium
PricingCloud Android 14: $0.01 per phone-minute; iPhone and iPad: $0.05 per phone-minute; Real Android devices: $0.03 per phone-minute; Dedicated devices: from $79 per month. Billed per second with one-minute minimum. Boot time and parked phones free. New accounts start with $2 credit. RELAI Free: $0. RELAI Enterprise: Custom pricing.
Key features
  • Cloud Android 14 phones (arm64)
  • iPhone and iPad sandboxes
  • Real Android devices
  • REST API and MCP server
  • Screen as numbered text elements
  • Batch actions (tap, type, swipe up to 20 per call)
  • Park and resume phones with state preserved
  • Live view with step-by-step recording
  • App installation and management
  • Screenshot and text observation modes
  • 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
  • Same API and MCP for Android, iPhone, iPad and real devices
  • Agents interact with real apps like people do
  • Boot time and parked phones are free
  • Works with Claude Code, Codex, Cursor and any HTTP MCP client
  • 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)Not checked yet no change since last check23 no change since last check
Trust Flow (Majestic)013
Citation Flow (Majestic)025
Referring domains (Majestic)079

5 details filled in for both companies.

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