Autonomous Agent — Active

Your facility
never sleeps.
FleetOS doesn't either.

An autonomous reliability agent that monitors every asset, predicts failures, and dispatches work orders — 24/7, without waiting for a human to act.

70% Reduction in unplanned downtime
24/7 Autonomous monitoring
14d Deployment to live
FleetOS Reliability Agent
09:14 Pump station B — vibration nominal. No action required.
08:47 Compressor 4 — bearing temp +12°C above baseline. Work order WO-2847 dispatched to technician Martinez.
07:30 PM task completed: HVAC filter rotation. Asset lifecycle extended 90 days.
06:55 Conveyor belt 7 — belt alignment drift detected. Scheduled for inspection during next maintenance window.
05:22 All site sensors reporting. Fleet health: 94.2/100
The Problem

Your maintenance team is drowning in noise.

Sensors fire. Dashboards pile up. Alerts get ignored. Technicians arrive to find the wrong part, the wrong tool, and a machine that's already failed.

Every major CMMS — Fiix, UpKeep, MaintainX — still requires a human to make every decision. They give you better alerts. They don't fix anything.

We built FleetOS to eliminate the human bottleneck entirely. The agent doesn't just monitor — it acts.

Three layers. One autonomous agent.

01

Monitor

Connects to your existing sensors, PLCs, and CMMS data streams. Covers every asset — critical turbines to balance-of-plant motors.

  • Vibration, temperature, pressure, electrical signatures
  • Sensor-agnostic — bring your own hardware
  • Edge processing. No data science team needed
02

Predict

Multi-variable failure probability across all asset parameters simultaneously. Not a threshold alert — a real prediction with confidence scores.

  • Remaining Useful Life (RUL) estimates per asset
  • Failure mode identification — what's failing and why
  • Improves continuously as it learns your fleet
03

Act

Autonomous work order dispatch. Parts ordering. Technician assignment. Escalation. The agent does the work — your team supervises, doesn't execute.

  • Auto-generates work orders with diagnostic context
  • Checks parts availability before dispatch
  • Configurable guardrails — you set approval thresholds

What your facility looks like in 90 days

70%

Unplanned downtime reduction, based on comparable mid-market facility deployments

25%

Maintenance labor cost reduction through precision scheduling and parts pre-staging

40-55%

Reduction in emergency callouts — the most expensive maintenance events

3-6x

Asset portfolio a single technician can manage — the agent handles monitoring and scheduling

Built differently

Not another maintenance app.
An autonomous team member.

Most software tells you what's happening. FleetOS does something about it. It's the reliability agent your facilities team doesn't have to manage — it manages itself, learns continuously, and reports when it needs a human in the loop.

Deploy in 14 days. No rip-and-replace of your existing sensors. Sensor-agnostic, CMMS-native, built for industrial reality.

Your fleet deserves an agent that works as hard as you do.