AI-Powered Reliability Intelligence

AI-Driven Predictive &
Prescriptive Maintenance
Platform

ReliAIQ transforms how industrial organizations manage asset reliability — converting existing operational data into structured, intelligent, and actionable maintenance strategies. Move from reactive to prescriptive.

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No Heavy CAPEX Required Rapid Deployment Existing Data Leverage
ReliAIQ AI Intelligence Network
AHI SCORE92.4
Trusted Across Industries
Oil & Gas Petrochemical Power Generation Manufacturing Mining Utilities
Our Objective

Turning Industrial Data into Reliability Intelligence

At ReliAIQ, we transform how industrial organizations manage asset reliability by converting existing operational data into structured, intelligent, and actionable maintenance strategies.

  • Real-time process data from DCS/SCADA systems, leveraged without new infrastructure investment
  • Transform operational history into predictive degradation models and failure forecasts
  • Measurable Maintenance and Failure Intelligence — from structured failure codes to root cause libraries
  • Quantified Asset Health Index (AHI) delivered continuously across your full asset base
ReliAIQ Plant Health Monitoring Dashboard
Plant Health Index85% — Live
Core Capabilities

Core Capabilities of ReliAIQ

Advanced, AI-driven solutions to predict and prevent equipment failures — a structure built specifically for the demanding environment of industrial reliability.

Pillar 01
Asset Health Index Engine
Real-time composite scoring that quantifies asset health across all critical parameters. Continuously updated from existing plant data — no IoT sensors required.
Real-Time AHI Health Scoring Anomaly Detection
Pillar 02
Predictive Failure Forecasting
Structured ML models identify degradation trajectories and forecast failure timelines weeks in advance — enabling scheduled intervention before costly breakdowns.
ML Forecasting Degradation Curves Failure Timeline
Pillar 03
Prescriptive Maintenance Intelligence
Beyond prediction — our AI recommends specific corrective actions, sequences, and resource requirements to resolve root causes before failure occurs.
Prescriptive Actions Root Cause AI Work Order Logic
Pillar 04
Asset Hierarchy Creation
Establish a structured, standardized asset hierarchy from Plant → Unit → System → Equipment → Component. Enabling clear visibility and logical reliability mapping.
Asset Mapping Hierarchy Accountability
Pillar 05
Digital PM Framework
Intelligent preventive maintenance systems with digital inspection checklists, standardized protocols, structured failure codes, and automated documentation workflows.
Digital Checklists PM Optimization Failure Codes
Pillar 06
Centralized Intelligence Database
Consolidate fragmented plant data into a unified reliability platform — historical maintenance reports, PM records, condition monitoring trends, and failure analysis reports.
Single Source Data Lake Audit Trail
Solutions Page

Advanced AI-Driven Solutions

Built specifically for the demanding environment of industrial reliability — predict and prevent equipment failures before they occur.

Solution 01
Asset Health Index Engine
Assess asset deterioration progressively and quantitatively using multi-variable analysis from existing operational and maintenance data.
  • Real-time composite AHI calculation
  • Multi-parameter health scoring
  • Threshold-based alert generation
  • Trend monitoring & reporting
Solution 02
Predictive Failure Forecasting
Structure data to identify root cause influencing variables, detect abnormal performance signatures, and forecast degradation trajectories.
  • ML-based failure prediction models
  • Degradation trajectory forecasting
  • Root cause variable identification
  • Failure timeline estimation
Solution 03
Prescriptive Maintenance Intelligence
Structure data sets to enable self-learning systems that recommend specific corrective actions, resource requirements, and scheduling decisions.
  • Prescriptive corrective action recommendations
  • Criticality-ranked work prioritization
  • Resource & parts optimization
  • Maintenance schedule intelligence
Reliability Intelligence

Reliability KPI Dashboard Insights

Monitor every asset's health in real-time. From the plant-wide health index to individual equipment alerts — ReliAIQ gives you complete reliability visibility.

↑ 28%
MTBF Improvement
Mean Time Between Failures
↓ 42%
MTTR Reduction
Mean Time To Repair
↑ 18%
OEE Increase
Overall Equipment Effectiveness
↓ 35%
Unplanned Downtime
Emergency shutdowns eliminated
ReliAIQ Reliability KPI Dashboard — Plant Health Monitoring
6
Intelligence Pillars
Zero
New IoT Investment Required
Rapid
ROI Realization
100%
Data-Driven Decisions
Our Approach

Convert Existing Data into Intelligence

ReliAIQ believes most industrial facilities already possess valuable operational data. Instead of heavy CAPEX investments in new IoT infrastructure, we leverage what you already have.

Existing Data Sources We Leverage

DCS / SCADA Systems
Process Historian Data
Maintenance Logs
Inspection Reports
Manual Check Sheets
Operational History

Why This Matters

  • Faster implementation timeline — no hardware procurement
  • Lower capital investment required upfront
  • Reduced project risk with familiar data sources
  • Rapid ROI realization from day one
  • Scalable deployment across your full asset base

AI-Powered Solutions

01
Data Collection & Structuring

We gather and normalize fragmented plant data from all existing sources into a unified, structured intelligence database.

02
Asset Hierarchy & Criticality Mapping

Define the complete asset hierarchy and apply data-driven criticality ranking to focus intelligence where failure impact is highest.

03
AI Model Training & Calibration

Train ML models on your plant's specific operational signatures, failure history, and process behavior patterns.

04
Live Intelligence & Prescriptive Output

Deploy real-time AHI monitoring, failure forecasts, and prescriptive maintenance recommendations through your dashboard.

AI-Powered Reliability in Action

Real-World Impact

See how ReliAIQ converts plant data into measurable reliability outcomes across critical industrial assets.

Case Study 01
Thermal Power Plant
Boiler Tube Failure Prediction
48h
Advance Warning
$2.1M
Savings
  • Predicted tube failure 48 hours in advance using process historian data
  • Avoided unplanned outage and turbine trip cascade
  • Maintenance scheduled during planned shutdown window
  • Estimated downtime savings exceeding $2.1M
Case Study 02
Chemical Processing Plant
Pump Degradation Detection
3 Wks
Early Detection
$346K
Cost Avoided
  • Detected centrifugal pump bearing degradation 3 weeks before failure
  • Root cause: cavitation from upstream control valve fluctuation
  • Prescriptive action: valve calibration + bearing replacement scheduled
  • Maintenance cost savings of $346,000 in avoided production loss
Case Study 03
Manufacturing Facility
Motor Failure Forecasting
92%
Prediction Accuracy
$580K
Annual Savings
  • 92% prediction accuracy on motor winding failure across 47 motors
  • Forecast lead time averaging 19 days before failure event
  • Eliminated 6 unplanned production stoppages in 12 months
  • Total annual maintenance cost reduction: $580,000
Deployment Options

Core AI Technologies

ReliAIQ deploys across your preferred infrastructure — fitting your IT security, compliance, and operational requirements.

🖥️
On-Premise
Full deployment within your plant network. No data leaves your facility. Complete control over security, access, and data governance. Ideal for regulated environments.
☁️
Private Cloud
Dedicated cloud environment with enterprise-grade security. Scales dynamically with your asset base. Managed infrastructure with 99.9% uptime SLA commitment.
⚡
Hybrid
Edge processing at plant level with cloud-based AI analytics and dashboards. The flexibility of cloud with the security of on-premise data residency.
About ReliAIQ

Mission & Vision

🎯 Our Mission
Transform Industrial Reliability Through AI
To transform industrial reliability by harnessing Artificial Intelligence to predict failures, optimize maintenance decisions, quantify asset health, and maximize operational performance. ReliAIQ converts complex plant data into measurable reliability intelligence — enabling organizations to reduce downtime, improve safety, and achieve operational excellence.
  • Predict failures before occurrence using ML models
  • Optimize maintenance decisions with intelligence, not intuition
  • Quantify asset health across the entire asset base
  • Maximize operational performance and uptime
🚀 Our Vision
The Global Benchmark for AI-Driven Reliability
To become the global benchmark for AI-driven reliability intelligence. We envision a future where every industrial asset operates with quantified reliability, maintenance decisions are entirely data-driven, and failures are predicted before occurrence.
  • Every industrial asset operates with a quantified reliability score
  • All maintenance decisions are data-driven, not calendar-driven
  • Failures are predicted before they happen — consistently
  • Operational excellence powered by intelligent analytics

Ready to Transform Your
Maintenance Strategy?

Join industrial organizations leveraging AI to predict failures, optimize maintenance decisions, and maximize operational performance — using the data you already have.

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Get Started

✔ No CAPEX required  ·  ✔ Rapid deployment  ·  ✔ Uses your existing data