Autonomous Energy Coordination

XOS™ is a system layer that coordinates energy decisions across vehicles, infrastructure, and networks.

Charging decisions, handled by intelligence.

Xplug replaces manual choices with an AI intelligence layer
that takes over charging decisions.

Every decision is made automatically, in real time-across routes and networks.

A smarter way to charge.

Experience EV charging through a unified Live Map and AI Copilot-turning complex energy decisions into effortless actions.

Xplug Charging Map

All chargers. One map. AI verified

US PUBLIC CHARGERS

161k

+12% YoY growth

DC FAST PLUGS

36k

Across 3.1k sites

TODAY'S AVAILABILITY

74%

Nationwide uptime

Built on AI, Fueled by People.

Xplug AI CoPilot

Tell me where you're going, I'll handle the charging.

Welcome to Xplug CoPilot.
Start by entering a destination or asking for nearby chargers. Set your battery % to unlock smart routing.

Xplug continuously evaluates energy availability, reliability, pricing, and real-world context to determine the best charging action in real time.

How energy decisions are made.

The AI decision loop behind every charge.

Sense

Live signals from the charging ecosystem

Predict

Future outcomes before they happen

Decide

Autonomous decisions in real time

Continuous loop

Vehicles

intent · state · constraints

Chargers

availability · reliability · price

Networks

rules · capacity · conditions

Autonomous Decision Layer

continuous coordination

Sense

live signals

Predict

congestion & outcomes

Decide

best action now

continuous

battery state destination intent time sensitivity

Local constraints and intent signals.

availability reliability pricing congestion

Real-world conditions at the edge.

capacity conditions access rules real-time constraints

Policy, capacity, and network states.

Every local choice improves global flow.

Xplug coordinates decisions across mobility systems, infrastructure, and autonomous agents by translating real-world behavior into machine-readable signals for system-level coordination.

Mobility Systems

Human & Autonomous

Generate real-time mobility and energy decision signals through machine-readable interfaces.

Examples

EV Drivers Autonomous Vehicles Fleet AI

Signals

Routing intent Time constraints Mobility outcomes

Infrastructure Nodes

Physical → Software-defined

Physical energy assets exposed as software-defined interfaces with machine-readable operational constraints.

Examples

Charger Hosts Parking Infrastructure Service Facilities

Signals

Availability Reliability Capacity limits

System Contributors

Human & Machine Agents

Agents that improve coordination quality through automated validation and intelligence systems.

Examples

Validators Monitoring Agents Intelligence Systems

Signals

Data validation Anomaly detection Ecosystem insights

Together, these participants form a continuously learning coordination system.

Human-in-the-loop Coordination

Decisions are made by people. Software assists with visibility and recommendations.

Infrastructure reacts after decisions are made.

Shared Autonomy

Humans and machines generate signals. The system coordinates decisions in real time.

Infrastructure adapts dynamically to demand and constraints.

Machine-native Autonomy

Autonomous vehicles and agents interact directly with the system.

Mobility, charging, parking, and service decisions are coordinated without human intervention.

Existing infrastructure is utilized through software-defined interfaces — not centralized control centers.

Xplug is designed to operate across all three stages, becoming invisible as autonomy becomes the default.

When energy decisions become autonomous.

When charging decisions are handled by intelligence,
everything downstream becomes more efficient.

Less wasted energy

Predictable mobility by default

Infrastructure that operates autonomously

Built for EVs today.
Designed for autonomous energy decisions tomorrow.

This is the system Xplug is building.

Laying the foundation for an autonomous energy network —
where vehicles, chargers, and future mobility systems
coordinate automatically.

This system is already operating today.

Enter the System Build on Xplug View Nodes

The AI charging network for EVs and autonomous vehicles.

Autonomous Energy Coordination

Charging decisions, handled by intelligence.

A smarter way to charge.