Industrial Asset
Sensors, PLC, DCS and SCADA generate continuous telemetry.
TelemetryLive
ActionPending
Waiting
Explainable AI Platform for Operational Intelligence
From Monitoring to Intelligent Operations.
Pravah bridges the gap between industrial data and operational decision-making, combining Industrial IoT, Explainable AI, Digital Twins, Human-in-the-Loop workflows and Root Cause Analytics into one unified Operational Intelligence platform.
Why It Matters
Why industries need operational intelligence.
Industrial facilities generate millions of operational data points every day. Yet critical decisions are still based on fragmented dashboards, isolated alarms and manual investigation.
Alarm fatigue
Delayed response to critical eventsManual root cause analysis
Longer troubleshooting cyclesReactive maintenance
Increased downtimeMultiple disconnected systems
Limited operational visibilityLoss of expert knowledge
Inconsistent decision-makingBlack-box AI
Low operator trustBusiness Consequences
- Unplanned outages
- High maintenance costs
- Reduced asset availability
- Lower operational efficiency
- Increased Mean Time to Repair (MTTR)
- Inefficient maintenance planning
How it works
From industrial telemetry to validated engineering action.
See how Pravah takes industrial data from sensors to AI-driven insight, human validation and executed action, without replacing your existing operational systems.
How Pravah works: industrial assets report telemetry through a secure gateway to a validated data platform, and Pravah's explainable AI engine brings the fleet into one view. In this example, a digital twin simulates the asset, root cause analytics explains an anomaly, predictive intelligence flags rising failure risk, and an engineer reviews and approves the recommended action, which is then executed back on the asset.
Industrial Gateway
Telemetry is securely transmitted from the field.
LinkIndustrial Gateway
ProtocolOPC-UA
No link yet
Data Platform
Readings are validated and quality-checked.
Data QualityChecking
StorageIndustrial Data Lake
Waiting for data
Explainable AI engine for operational intelligence.
Explainable AIPending
EngineActive
Waiting for data
Digital Twin
Simulates asset behavior to test scenarios safely.
Twin StatusSynced
Scenarios Tested12
Simulation ready
Root Cause Analytics
Explains the real cause behind every anomaly.
AlarmFD Fan Vibration
PatternContextHistory
Root cause identified
Predictive Intelligence
Forecasts failure risk and remaining useful life.
Failure RiskLow
Remaining Life42 days
Within range
Human Validation
An engineer reviews and approves every recommendation.
- Review evidence
- Validate cause
- Approve action
Awaiting review
Core Capabilities
What makes Pravah an operational intelligence platform.
01
Explainable AI
Traditional AI often provides predictions without explaining the reasoning behind them. Pravah delivers transparent recommendations backed by engineering evidence, so engineers can understand, validate and act with confidence.
FD Fan Failure RiskHigh
Why
- Bearing temperature increasing
- Motor current imbalance detected
- Airflow reduced by 18%
- Damper position deviation observed
Recommendation
Inspect damper actuator, verify airflow path, schedule bearing inspection.
02
Human-in-the-Loop Intelligence
Industrial decisions need both computational intelligence and engineering expertise. Pravah keeps engineers at the center, AI detects anomalies and proposes a root cause, an operator reviews the evidence, and an engineer validates the recommendation before action is taken.
Detect
Diagnose
Validate
Act
03
Root Cause Analytics
Pravah identifies the underlying cause of operational events instead of reporting only symptoms, correlating alarms, operational context and historical patterns into a single explained root cause.
Alarm
Context
Pattern
Correlation
Root Cause
04
Asset Health & Predictive Maintenance
Pravah continuously evaluates the operational condition of critical assets (boilers, turbines, transformers, motors, fans, solar inverters, BESS and more), scoring health and flagging risk before failure occurs.
- Asset Health Score
- Remaining Useful Life
- Failure Probability
- Criticality Index
- Maintenance Priority
Case Studies
Explainable AI in the field.
Explainable AI for FD Fan Root Cause Analysis
Challenge: A thermal power plant experienced recurring FD Fan vibration alarms, resulting in repeated bearing replacements and unplanned outages.
Root cause: Pravah identified progressive damper actuator drift causing airflow imbalance, increased rotor loading, and bearing stress.
- Reduced diagnostic time
- Fewer unnecessary component replacements
- Lower maintenance cost
- Increased plant availability
Predictive Health Monitoring for Static VAR Generator (SVG)
Challenge: Unexpected SVG trips affected reactive power compensation and customer operations.
Root cause: Continuous monitoring of IGBT temperature, heat sink temperature, cooling fan performance, capacitor condition, reactive power and harmonic distortion surfaced early cooling system degradation.
- Predictive maintenance scheduling
- Reduced field failures
- Improved product reliability
- Lower warranty costs
Industry Applications
Built for heavy industry and energy utilities.
Power Generation
- Thermal Power Plants
- Hydro Power
- Gas Turbines
- Nuclear Support Systems
Renewable Energy
- Solar
- Wind
- Battery Storage
- Hybrid Plants
Utilities
- Transmission
- Distribution
- Smart Metering
- HES & MDMS
Manufacturing
- Steel
- Cement
- Mining
- Chemical
- Automotive
- Food Processing
- Pharmaceuticals
Business Value
What operational intelligence delivers.
Predictive maintenanceReduced downtime
Explainable AIHigher operator trust
Root cause analyticsFaster troubleshooting
Digital twinBetter planning
Asset health monitoringExtended equipment life
Human-in-the-loopImproved decision quality
Action logsEnhanced compliance
Typical Benefits
- Reduced unplanned outages
- Improved asset utilization
- Lower maintenance expenditure
- Better operational visibility
- Increased engineering productivity
Why Pravah
What makes Pravah different.
| Capability | Conventional Monitoring | Pravah |
|---|---|---|
| Visibility | Displays alarms | Explains alarms with context |
| Analysis | Historical trends | Predicts future behavior |
| Investigation | Manual troubleshooting | Automated root cause analysis |
| Decision Support | Static dashboards | Operational Intelligence |
| AI Capability | Black-box analytics | Explainable AI |
| Maintenance Strategy | Reactive maintenance | Predictive maintenance |
| Platform Architecture | Multiple software systems | Unified industrial platform |
| Operations | Manual logs | Intelligent action logs |
Intelligent operations start with explainable AI.
Industrial intelligence should empower engineers, not replace them.
Book a Demo of Pravah