Live monitoring
Position, movement, commands and telemetry for every robot — across multiple sites at once, on a single map.
Robot-04● Connected
Robot-09● Maintenance
FLEET OS · AI-ASSISTED ROBOTICS
Your entire robot fleet.
One command center.
Robots from any vendor in a single console: position, battery, tasks, service and performance — live, across every site. Less downtime, more work done.
En route
Charging
Warning
Service
Active units
24
Operational efficiency
98.2%
Tasks / hour
142
Open alerts
2
Telemetry · fleet throughput1.80k items/h
Fleet events● live
| Unit | Type | Current task | Battery | Status | Location | Firmware | Action |
|---|
The fleet operating loop
From your first connected robot to a self-optimizing fleet.
01
Connect
Bring robots from any vendor into a single console.
02
Monitor
Live position, battery and telemetry for every unit.
03
Plan
Tasks, routes and people-plus-robot shifts in one place.
04
Maintain
Predictive alerts and service before downtime hits.
05
Optimize
AI suggests routes, charging cycles and fleet scaling.
Platform modules
Everything a fleet manager needs.
Real-time tracking, predictive service and smart scheduling in one ecosystem — whoever built the robot.
Task and traffic orchestration
Shared routes, priorities and task queues for transport, inventory and cleaning robots. Predictive routing steers around congestion on its own.
Energy and docking
AI manages charging cycles and the docking queue so the fleet never drops below the charge it needs to deliver the plan.
Gamma-6 · charging 38%
Predictive maintenance
Machine-learning models detect component wear and schedule service before it turns into downtime.
Unit 08 · bearing wear — service booked for 13:00
Performance and usage analytics
Dashboards that tie robot data to business outcomes: utilization, uptime, cost per task, availability.
Fleet and lifecycle
A registry of every unit with location, battery health and firmware version. Remote updates and a full service history per robot.
Shift planning
People and robots on one schedule.
Tasks, charging and service for every unit, synchronized with staff shifts. Conflicts and coverage gaps show up before they happen.
06:00
10:00
14:00
18:00
22:00
Task
Charging
Service
Staff shift
AI decision support
Recommendations, not just charts.
The AI engine processes data from the whole fleet and suggests concrete actions: reroute a robot, shift a charging window, add a unit for the peak, or move a robot between sites.
ROUTE
Reroute Robot-12 through aisle 4
Aisle 3 is congested — the detour shortens the current task and frees up dock 2.
ENERGY
Shift Alpha-1 charging by 20 min
Bay 2 is busy; docking Gamma-6 earlier does not conflict with the plan.
SCALE
Add a unit for the 14:00–16:00 peak
Forecast task volume exceeds fleet availability in zone B.
Use cases
One system. Every environment.
01 · PRODUCTION
Industry
Multi-vendor fleet control and real-time production status — from intralogistics to cobots on the line.
02 · LOGISTICS
Warehouses
Shared routes, priorities, tasks, battery and docking management for transport, inventory and cleaning robots.
03 · CUSTOMER SPACES
Retail and HoReCa
Service-quality insight for serving and cleaning robots, with privacy-aware data collection in guest areas.
04 · FIELD OPERATIONS
Construction
Machine health, position, availability, task progress and equipment utilization across multiple job sites.
Technology ecosystem
Robotics, edge computing and enterprise-grade cloud infrastructure.
United RobotsRobotics and autonomy
NVIDIAAI and edge computing
MicrosoftCloud and infrastructure
Scale your robotics operations with confidence.
We'll walk you through the platform using data from your own fleet — from the first robots to many sites.