AI Reliability Agent

No more
buried
findings.

ReliabilityOS is an autonomous AI agent that monitors every critical asset, predicts failures before they happen, and coordinates maintenance action — 24/7 — without human intervention.

24/7 Autonomous monitoring
0 Findings buried in reports
1 Source of truth for every asset
Operations Overview LIVE
Comp-01 / Compressor A NOMINAL
Vib: 2.1 mm/s Temp: 61°C RUL: 47d
Pump-B / Raw Water TRENDING
Vib: 4.8 mm/s Temp: 73°C RUL: 12d
HT-EX / Heat Exchanger NOMINAL
DT: 8.2°C Flow: 214 gpm RUL: 89d
Gear-03 / Main Drive ACTION
Vib: 11.2 mm/s Temp: 88°C RUL: 4d

One agent. Every
reliability function.

Continuous Monitoring

Ingests vibration, temperature, ultrasound, oil analysis, and operational data streams simultaneously. No polling intervals. No blind spots.

Anomaly Detection

Learns each asset's baseline behavior and flags deviations before they become failures. Not thresholds — patterns.

Work Order Generation

When an anomaly is confirmed, the agent drafts the complete work order — asset code, failure mode, recommended action, parts list — and routes it to the right technician.

Root Cause Analysis

Cross-references current fault data against historical maintenance logs, OEM specifications, and similar asset histories to identify likely failure modes.

Parts Coordination

Checks inventory availability, reserves required parts, and generates procurement requests — all before the technician is dispatched.

Escalation Management

Routes only what needs human judgment to humans. Everything else runs autonomously with full audit trail.

It sees what
humans miss.

Traditional PdM generates 35-40 reports per year per program. Reliability engineers are left to cross-reference them manually — which is exactly why critical findings get buried. ReliabilityOS reads all of it, simultaneously, and surfaces only what matters.

Vibration analysis — trend deviation vs. absolute thresholds
Motor current signature analysis
Infrared thermography anomaly scoring
Oil analysis particle count and metal wear trends
SCADA operational parameter deviation
Comp-01 / Bearing DE — Velocity Spectrum NORMAL
0 Hz 1x 2x 3x 4x
Peak Velocity 2.1 mm/s
1x Amplitude 1.8 mm/s
Bearing Freq 3.2× baseline
Health Score 92 / 100
Recent Events
Pump-B bearing temp rising Detected 14 min ago · 73°C vs 62°C baseline
WO drafted
Comp-01 nominal after PM Baseline updated · Health score +8pts
Resolved
Gear-03 vibration spike 3 consecutive cycles above threshold
Escalated

From anomaly to
work order — in seconds.

The gap between detecting a fault and fixing it is where plants lose millions. ReliabilityOS closes that gap autonomously. When an anomaly is confirmed, the agent executes the full maintenance workflow without human involvement for routine cases.

01

Detect & Contextualize

Sensor events are ingested and contextualized against asset type, operating conditions, and failure history. The agent reasons about what is actually happening, not just what the reading says.

02

Draft Work Order

A complete work order is generated: asset code, failure mode classification, recommended intervention, priority score, estimated labor hours. No human typing required.

03

Reserve Parts

Inventory is checked in real time. Required parts are reserved or a procurement request is generated with vendor, lead time, and cost included.

04

Dispatch & Track

Work order is routed to the nearest qualified technician with full context. Completion is logged automatically. Audit trail is written for every action.

4.2s Average time from anomaly to work order draft
80% Reduction in maintenance administrative overhead
6+ hrs Average time saved per critical work order vs. manual process

What plants
actually get.

45%
Reduction in unplanned downtime
By catching failures 2-4 weeks before they occur instead of during the breakdown.
22%
Reduction in maintenance cost
By eliminating unnecessary preventive maintenance and focusing resources on actual failure risk.
6-8mo
Typical payback period
Measured ROI from reduced downtime, lower emergency repair costs, and recovered labor hours.
99%
Of critical findings surfaced within 24 hours
Continuous monitoring with automated triage means nothing waits in someone's inbox to be missed.

Your plant
deserves a
reliability engineer
who never sleeps.

The PDM industry was built for humans reading reports. ReliabilityOS is built for the machines that need to keep running.