AI-POWERED PREDICTIVE MAINTENANCE 

Predict the Failure. 
Schedule the Fix. 
Skip the Breakdown

FDD catches faults that exist today. Predictive Maintenance forecasts failures 24–72 hours — sometimes weeks — before they happen, turning emergency callouts into scheduled repairs.

AI predictive maintenance software dashboard for commercial buildings and facility management

Up to 80%

Fewer critical breakdowns

Active deployments, HVAC & critical plant

3 - 5X

Lower maintenance cost

2 - 3X

Asset life extended by 
evidence, not age

Boaed - Ready

RUL-based 
capital plan

Every Asset Receives an Early Warning System and a Projected Lifecycle

WHAT IT IS

Time-series ML trained on chillers, AHUs, RTUs, pumps, boilers, and elevators – layered with degradation curves and Remaining Useful – Life estimates.

Asset life extends. Downtime disappears. CFOs get a defensible capital plan ranked by RUL evidence, not asset age or gut feel. Every repair sharpens the next prediction.

Core capabilities

From vibration signatures and refrigerant curves to cross-asset correlation and RUL-based capital planning – every capability built to convert the next emergency into a line item on next Tuesday's schedule.

ML-Based Failure Forecasting
Detects bearing wear, refrigerant undercharge, condenser fouling, and VFD anomalies 24-72 hours before alarm –sometimes weeks.

Capital Planning & ESG Asset
Every asset accrues a digital service history ready for ESG due diligence, green refinancing, and SEC asset-level disclosure. 

Cross-Asset Correlation
Finds the root degradation – a failing cooling tower surfaces through the chiller it serves, not just the loudest threshold.

RUL + Asset Health Scoring
Every major asset gets a continuously updated Remaining Useful Life estimate and a 0-100 health score. Capex by evidence, not age.

Scheduled Repair vs. Emergency Callout
Replace a $30,000 emergency chiller call on a 95°F afternoon with a $2,000 planned repair on a Tuesday morning.

Closed -Loop Outcome Verification
Post-repair, NETIX AI confirms the failure mode actually cleared. Every repair sharpens the next prediction. 

HOW IT WORKS

From sensor baseline to scheduled fix before the breakdown.
Five connected phases, each feeding the next. After every repair, the loop closes and the model gets smarter.

AI predictive maintenance workflow connecting IoT sensors to maintenance scheduling

HOW IT WORKS

From sensor baseline to scheduled fix before the breakdown.
Five connected phases, each feeding the next. After every repair, the loop closes and the model gets smarter.

AI predictive maintenance workflow connecting IoT sensors to maintenance scheduling

who IT’S FOR

Built for operators where one unexpected equipment failure has a direct, measurable impact on a P&L, an SLA, a guest review, or a clinical environment.

Predictive maintenance software for hospitals, commercial buildings, hotels, data centers and facilities

who IT’S FOR

Built for operators where one unexpected equipment failure has a direct, measurable impact on a P&L, an SLA, a guest review, or a clinical environment.

Ready to replace breakdowns with board-ready capital plans?

See how ML-powered forecasting, RUL-based asset scoring, and closed-loop verification turn reactive repairs into strategic maintenance – with defensible CAPEX planning built in.

WORKS TOGETHER WITH

Catch today’s faults. Predict Tomorrow’s failures.