Run AI Agents and Automation at Scale
A phone farm is the infrastructure for AI agents, custom Skills, and multi-account automation. It turns raw device pools into a schedulable execution fleet.
Agent Orchestration
Built for Massive Execution
Organized Execution
Bring device pools, account batches, and repeated runs into one operating rhythm instead of juggling fragmented execution.
Systematic Resource Ops
Manage batches, permissions, and recovery rules inside one system instead of handling raw hardware case by case.
Scalable Operating Model
Give the team a structure that can keep growing without being dragged back into manual device coordination.
Run Agent Workflows Inside One System
When multi-account execution, Skill scheduling, and environment recovery still depend on manual steps, scale is impossible. We turn those motions into controlled system flows.
Node Allocation
Dynamically allocate execution nodes by region, platform, and task complexity.
Skill Dispatch
Batch dispatch preset or custom Skills to your Agent fleet for automated production.
Auto Reset
Automatically clean environment fingerprints and account data after task completion.
Four Pillars of Massive Agent Execution
Intelligent Scheduler
Match tasks with the best execution environment based on priority and node status.
Isolation Layer
Deep fingerprint simulation ensures each Agent has a unique, real device identity.
Skill Orchestration
Visually manage custom Skill logic with support for complex workflows.
Real-time Audit
Log all execution and performance data to keep every second under control.
Physical device stacks vs cloud phone farms
Who should evaluate a phone farm first
High-volume teams
Need warmup lanes, grouped execution, and multi-operator handoff.
Multi-region operators
Layer device pools and proxy pools across multiple markets.
Legacy device owners
Teams slowed down by maintenance and recycling of existing hardware.
Common questions
How is a phone farm different from a cloud phone?
A cloud phone is the execution unit. A phone farm is the operating model that organizes many of them into infrastructure.
Why do teams evaluate phone farm separately?
Because they are usually deciding how to organize large batches of devices, operators, and repeated execution, not just looking for a generic cloud phone overview.
When should a team stop relying on physical device piles?
Once the team needs layered warmup, operator handoff, pooled regional execution, and structured recycling, device piles become the bottleneck.