CorrosionIntel
CorrosionIntelIndustrial AI Platform
Verified Deployments

Outcomes that
prove the science.

Every engagement is grounded in real asset data, verifiable field outcomes, and measurable improvements to reliability, cost, and safety. Four active deployments across India's most demanding industrial environments.

4
Active Deployments
99%+
Model Accuracy
₹100s Cr
Value Generated

Jump to case study:

Sectors covered:Oil & GasRefinery / CDUAerospace & DefenceBoiler & Utilities
01Oil & Gas2024
Crude Oil Storage

Indian Oil Corporation Limited (IOCL)

Physics-Driven AI Corrosion Monitoring for Crude Oil Storage Tank

Large vertical crude oil storage tank — 79.5 m diameter, 89,800 m³ capacity

0
Inspection Area Reduction
Risk-based zone targeting vs. full surface treatment
0
Failure Prediction Accuracy
AI model identifies high-risk zones before leakage
0
Safety Risk Eliminated
Drone-assisted survey replaces manual high-altitude inspection
0
Maintenance Planning
Emergency shutdowns replaced with scheduled interventions
02Refinery2024
Crude Distillation

Bharat Petroleum Corporation Limited (BPCL)

Real-Time Corrosion Visibility in CDU Overhead Columns

Crude Distillation Unit overhead systems — HCl, CO₂, and acid condensate environments

0
Annual Value Generated
Energy efficiency, yield, and reliability combined
0
Response Time
vs. weeks–months with periodic inspection
0
Unplanned CDU Shutdowns
Early warning enables proactive corrective action
0
Corrosion Rate Control
Treatment optimization maintains target corrosion rates
03Aviation & Defence2023
Aerospace

Aerospace Manufacturer

Turbine and Airframe Component Integrity — Predictive Monitoring

Turbine blades, combustion chambers, fuselage structures, and wing spar joints

0
Component Failures Reduced
Unexpected failures eliminated through predictive scheduling
0
Maintenance Cost Reduction
Data-driven scheduling replaces time-based overhaul
0
Turbine Blade Life Extended
20,000 → 27,000 flight hours per blade set
0
Aircraft Availability Gain
Less downtime through early fault detection
04Boiler & Utilities2024
Power Generation

Process Plant — Horizontal Fire-Tube Boiler

Digital Twin-Based Safety Analysis of a Horizontal Fire-Tube Boiler

Horizontal fire-tube boiler critical for plant steam supply — real-time digital twin for blast prevention and predictive health monitoring

0
Tube Leak Reduction
Proactive corrosion management reduced tube leaks significantly
0
Failure Prediction Accuracy
vs. 75% accuracy with traditional methods
0
Repair Cost Reduction
Lower repair costs and reduced unplanned shutdowns
0
Boiler Uptime
Achieved through continuous predictive maintenance

Start Your Engagement

Your facility. Your asset class.
Your corrosion model.

Every deployment begins with understanding your specific asset configuration, data sources, and risk priorities. Write to us and we'll respond within 24 hours.

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