Mobile sandboxes for your AI agents controlled over REST API and MCP
The continual learning engine for AI agents
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Paid
Freemium
Pricing
Cloud 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