Cloud-based Android phones for managing multiple social media accounts globally
The continual learning engine for AI agents
Stage
Not given
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Founded
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Based in
SG
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Pricing model
Freemium
Freemium
Pricing
Free: 1 cloud phone with 30 minutes startup time per month. Paid plans: $0.085/device/month with custom plans available (up to 95% discount). Startup Time Package: $0.0042/min. Monthly Startup: $16.91/month (15% discount available with annual payment). Annual payment saves 15%.
RELAI Free: $0. RELAI Enterprise: Custom pricing.
Key features
Android 15 cloud phones with real ARM chips deployed globally
GPS and SIM card simulation across 150+ countries
One-click reskinning and environment switching
RPA automation with templates and custom workflows
Bulk application management
Team collaboration and device sharing
Browser-based access without client download
Unlimited cloud phones with no multiplicity limits
API integration support
Cloud storage management and proxy integration
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
Real ARM-based Android cloud phones that operate like physical devices, minimizing platform risk controls
Independent device environments with isolated IP and storage reduce account association risks
No-code RPA automation with pre-built templates for popular platforms
Originated from AdsPower technical team with proven cross-border expertise
No additional RPA fees; included with device subscription
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
DuoPlus
RELAI