Asset Performance Management
Maximize asset reliability and eliminate unplanned downtime with OxMaint's intelligent APM platform. Leverage predictive analytics, real-time condition monitoring, and AI-powered failure prediction to keep your critical assets performing at peak efficiency.
Trusted by over 1000+ clients across the world
What is APM?
Asset Performance Management Explained
Asset Performance Management (APM) is a data-driven strategy that uses predictive analytics, machine learning, and real-time monitoring to optimize asset reliability, predict failures before they occur, and maximize equipment performance throughout its lifecycle.
Predictive Analytics
AI-powered failure prediction models
Condition Monitoring
Real-time sensor data analysis
Reliability Engineering
RCM & failure mode analysis
Risk Management
Criticality-based prioritization
The Four Pillars of APM
Predict
Forecast failures before they happenMonitor
Track health in real-timeAnalyze
Identify root causesOptimize
Maximize performanceData-Driven Decisions
Transform raw sensor data into actionable insightsComplete APM Platform
Intelligent Performance Monitoring
OxMaint APM combines advanced analytics, machine learning, and IoT connectivity to deliver comprehensive asset performance insights. From real-time health monitoring to predictive failure alerts—everything you need to maximize reliability.
Asset Health Scoring
AI-calculated health scores for every asset.
Failure Prediction
ML models predict failures days in advance.
Condition Monitoring
Real-time vibration, temperature & pressure.
Risk Assessment
Criticality-based risk prioritization.
Performance Benchmarking
Compare assets against industry standards.
Reliability Analytics
MTBF, MTTR & OEE tracking dashboards.
APM Analytics Hub
Predictive intelligence centerPredictive Alert
Pump #247 - Bearing failure predicted in 12 daysWhy OxMaint APM?
Transform Reactive to Predictive
Stop firefighting equipment failures. OxMaint APM enables you to predict problems before they cause downtime, optimize maintenance schedules based on actual asset condition, and maximize the return on your asset investments.
45% Improve Uptime
Maximize asset availability with prediction.
60% Reduce Failures
Catch issues before they become breakdowns.
30% Lower Costs
Optimize maintenance spend with data.
25% Extend Asset Life
Proper care increases equipment longevity.
Real-Time Visibility
Know asset health status instantly.
Data-Driven Decisions
Replace guesswork with analytics.
APM ROI Dashboard
Measured improvementsReliability Metrics
Advanced APM Features
Enterprise-Grade Intelligence
OxMaint APM leverages cutting-edge technology to deliver predictive insights that transform your maintenance strategy from reactive to proactive.
Our AI continuously learns from your asset data to predict failures with increasing accuracy. Models adapt to your specific equipment behavior, environmental conditions, and operational patterns for highly accurate forecasts.
Connect vibration sensors, temperature monitors, pressure gauges, and other IoT devices for continuous condition monitoring. Support for industry protocols including OPC-UA, MQTT, Modbus, and REST APIs.
Systematic analysis of potential failure modes, their causes, and effects. Prioritize maintenance actions based on criticality, detectability, and occurrence probability using industry-standard RPN scoring.
Implement RCM methodology to determine the most effective maintenance strategy for each asset. Balance preventive, predictive, and run-to-failure approaches based on asset criticality and failure patterns.
Create digital representations of physical assets for advanced simulation and analysis. Visualize asset health, predict performance under different scenarios, and optimize operational parameters.
APM Technology Stack
AI Engine
Neural network modelsBig Data
Real-time processingCondition Monitoring
Supported Protocols
Proven Predictive Performance
Industry leaders trust OxMaint APM to maximize asset reliability.
94.5%
Prediction Accuracy
60%
Fewer Unplanned Failures
3.2x
Average ROI (Year 1)
"OxMaint APM predicted our compressor failure 2 weeks before it would have happened. We saved $450K in emergency repairs and lost production."
Global Chemicals Inc.
Chemical Processing
"The vibration analysis integration caught bearing wear patterns we would have missed. Predictive maintenance is now our standard approach."
Precision Manufacturing Ltd.
Manufacturing
"We reduced unplanned downtime by 65% and maintenance costs by 35%. The health scoring dashboard gives us confidence."
Mining Operations Co.
Mining & Resources
"Asset availability improved from 92% to 98.5% within 6 months. The ROI was visible almost immediately after deployment."
Power Generation Corp.
Energy & Utilities
FAQ
Asset Performance Management Questions
FAQs about APM software and how OxMaint can help maximize your asset reliability.
Asset Performance Management (APM) is a strategic approach that combines predictive analytics, condition monitoring, and reliability engineering to optimize asset performance, predict failures before they occur, and maximize equipment uptime and lifespan. Unlike traditional maintenance that reacts to problems, APM uses data science to forecast equipment health and enable proactive intervention.
While CMMS focuses on managing maintenance activities (work orders, schedules, inventory), APM focuses on predicting and preventing failures through analytics and monitoring. CMMS answers "how do we manage maintenance tasks?" while APM answers "what maintenance should we do and when?" OxMaint combines both capabilities—CMMS for execution and APM for intelligence—giving you a complete solution.
Organizations implementing APM typically see 45% improvement in asset uptime, 60% reduction in unplanned failures, 30% decrease in maintenance costs, and 25% extension of asset useful life within the first year. Most OxMaint APM customers achieve positive ROI within 6-9 months, with an average return of 3.2x in the first year.
OxMaint APM integrates data from multiple sources: IoT sensors (vibration, temperature, pressure, flow), SCADA/DCS systems, historian databases, work order history, operator observations, and external data like weather and production schedules. The more data available, the more accurate the predictions become as our machine learning models continuously learn and improve.
OxMaint APM achieves average prediction accuracy of 94.5% after the initial learning period (typically 3-6 months of data collection). Accuracy improves over time as models learn your specific equipment behavior, environmental conditions, and operational patterns. For critical assets with good sensor coverage, accuracy often exceeds 97%.
While IoT sensors significantly enhance APM capabilities, they're not required to get started. OxMaint APM can work with existing data sources like work order history, inspection records, and operator observations to provide asset health insights. As you add sensors over time, prediction accuracy improves. We recommend starting with your most critical assets and expanding sensor coverage based on ROI.
Predict failures before they cost you money.
Transform your maintenance strategy with OxMaint APM. Leverage predictive analytics, real-time condition monitoring, and AI-powered insights to maximize asset reliability and minimize downtime.
Join forward-thinking organizations already preventing failures with OxMaint.
