01
Real App Behavior
Validate workflows against physical devices rather than relying only on virtualized behavior.
Mobile AI Infrastructure
Give Mobile AI agents a real Android world to act in.
ARMARRAY provides dedicated physical Android infrastructure for agent execution, real-device validation, interaction data workflows, and evaluation-oriented POCs.
The Problem
Agents can reason. They still need somewhere real to act.
Mobile agents increasingly need to recognize screens, perform actions, navigate apps, and complete tasks. Development can begin in virtual environments, but real-device validation requires infrastructure that exposes physical Android behavior.
02
Real Interaction
Observe practical touch, app, device-state, and network behavior during task execution.
03
Repeatable Infrastructure
Move beyond ad-hoc handset racks toward organized, serviceable, dedicated device pools.
Workflow
From instruction to real-device evidence.
The current stack already provides the real-device control and integration foundation. Agent-specific workflows can be adapted on top of this base to match project requirements for execution, observation, data collection, and evaluation.
InstructionAgent task
→Device AccessAPI / automation
→Real AndroidPhysical execution
→ObservationScreen / state
→ActionTap / input / navigation
→ResultEvidence / evaluation
Why Dedicated Real Android
A practical layer between emulator-only testing and a DIY device lab.
ApproachStrengthTrade-off
Emulator / AVDFast, repeatable, automation-friendlyNot a physical mobile environment
Public Real Device CloudRemote access to real devicesShared service model and less control over dedicated infrastructure
DIY Device LabFull ownership and customizationCabling, power, cooling, maintenance, and expansion complexity
ARMARRAYDedicated programmable physical Android infrastructureDesigned for teams that need owned or private real-device capacity
Mobile AI Integration
Start with proven capabilities. Customize what your agent workflow needs.
Device Management
Device inventory, status, and configuration for organized physical Android pools.
Remote Control
Programmatic input, app launch, and device operations for repeatable workflows.
Streaming & Remote Shell
Real-time device access for development, validation, and operational support.
Developer Interfaces
Backend HTTP API, WebSocket, and MQTT for customer-platform integration and command routing.
Command & Configuration
Device commands, configuration updates, app launch, and service discovery.
Private Deployment
Deploy dedicated infrastructure in customer-controlled lab, office, or data-center environments.
Existing Integration Surface
Connect your agent to the physical device layer.
Connect your agent or orchestration layer directly to ARMARRAY's physical Android infrastructure through existing programmable interfaces.
HTTP APIWebSocketMQTTRemote ShellDevice CommandsDiscovery
Representative routesPublic integration surface
GET /api/devices
GET /api/devices/{uuid}
PUT /api/devices/{uuid}/config
POST /api/devices/{uuid}/apply
POST /api/devices/{uuid}/command
WS /ws · /ws/shell
Deployment-specific URLs, authentication, payload schemas, and network parameters are provided during technical onboarding.
Adapt the software layer to the agent workflow.
Build agent-specific workflows on top of ARMARRAY's existing device-control and integration capabilities. Components can be adapted to project requirements from POC validation to larger-scale deployments.
Customization Options
Agent Task Interfaces
Device Allocation
Observation & Action Workflows
Trajectory Recording
Evaluation Integration
SDK / Customer Platform Integration
Other workflow requirements can be evaluated on a project-specific basis.
Hardware Layer
A real Android execution environment, packaged for scale.
S32 turns 32 physical Android nodes into a dedicated execution layer for Mobile AI agents — real apps, real device state, physical SIM support, and programmable control inside a serviceable chassis.
Explore S32POC to Scale
Validate first. Scale infrastructure when the workflow is proven.
A typical engagement can begin with a small real-device POC and grow toward a dedicated cluster or private deployment.
Stage 18–16 DevicesReal-device POC
→Stage 232–64 DevicesDedicated device pool
→Stage 3128–500+Production infrastructure
→Stage 4Private DeploymentLab / office / data center