CorrosionAI
Predict. Protect. Perform.
AI-Powered Corrosion Prediction
Transform your asset integrity management with machine learning that predicts corrosion before it causes damage
The Challenge
Traditional corrosion monitoring is costly, slow, and reactive
8+ Hours
Manual analysis per inspection
200-400/analysis
Cost per traditional assessment
Reactive
Detection only after damage occurs
Limited Data
Incomplete asset visibility
The Solution
CorrosionAI delivers predictive intelligence for your assets
Predictive Intelligence
95%+ accuracy in corrosion prediction using advanced ML models
Trace-Level Detection
Detect H2S at 10 ppm levels before critical thresholds
Self-Evolving System
Auto-calibration every 60 seconds for continuous accuracy
Physics-Grounded Insights
100% audit traceability with explainable AI
Risk Quantification
30 days early warning for proactive maintenance
Real-Time Dashboards
24/7 monitoring with instant alerts
How It Works
Sensing
IoT sensors collect real-time data from your assets
Analysis
AI processes data using physics-based models
Prediction
ML algorithms predict future corrosion patterns
Insights
Actionable recommendations delivered to your team
Traditional vs CorrosionAI
| Aspect | Traditional | CorrosionAI |
|---|---|---|
| Analysis Time | 8+ hours | Real-time |
| Cost per Analysis | 200-400 | 90% reduction |
| Approach | Reactive | Predictive |
| Accuracy | Variable | 95%+ |
| Monitoring | Periodic | 24/7 |
95%+
Prediction Accuracy
10 ppm
H2S Detection
30 days
Early Warning
Industries We Serve
Carbon Capture & Storage
BeAI provides real-time AI monitoring of CO₂ injection rates, reservoir pressure, and wellbore integrity to detect subsurface anomalies early. Predictive models optimize capture efficiency and reduce energy consumption, while digital twin simulations model long-term sequestration performance. Automated ESG reporting pipelines and anomaly detection algorithms ensure carbon accounting accuracy and regulatory compliance.
Oil & Gas
BeAI applies machine learning to production optimization, balancing reservoir drawdown, lift efficiency, and surface constraints to maximize output. Its predictive maintenance engine monitors rotating equipment and pipelines, flagging degradation trends days before failure and reducing unplanned downtime. Corrosion management modules and continuously updated reservoir models improve investment decisions and maintain full regulatory audit trails.
Power Generation
BeAI optimizes dispatch and load-balancing across thermal, renewable, and hybrid assets, reducing fuel consumption while meeting real-time grid demand. Turbine and generator health monitoring predicts failures using vibration and thermal analysis, scheduling maintenance during low-demand windows. AI-driven renewable output forecasting and automated fault detection reduce outage duration and improve grid resilience.
Maritime & Offshore
BeAI monitors vessel performance (hull resistance, propulsion efficiency, and fuel consumption) to recommend optimal routing and trim adjustments. Offshore integrity management and predictive analytics for mooring systems and risers reduce costly ROV interventions and unplanned maintenance. Real-time weather integration and platform digital twins improve safety, operational windows, and regulatory scenario planning.
Water & Utilities
BeAI applies real-time anomaly detection across distribution and wastewater networks to identify leaks, pressure faults, and contamination events early. AI-driven demand forecasting optimizes pumping schedules and chemical dosing, reducing energy and treatment costs. Predictive maintenance combined with water quality analytics ensures regulatory compliance and guides capital investment prioritization.
Chemical Processing
BeAI deploys advanced process control AI to optimize reaction conditions, feedstock ratios, and energy inputs, improving yield and reducing waste. Predictive maintenance for reactors, heat exchangers, and compressors minimizes unplanned shutdowns and extends turnaround intervals. Anomaly detection and digital twin simulations allow engineers to safely test process changes, while ERP integration aligns production with demand forecasts.
Frequently asked questions
What is CorrosionAI?
CorrosionAI is a corrosion prediction and asset integrity platform for critical infrastructure. It combines sensor data with physics-based models and machine learning so that degradation is anticipated instead of being found during an inspection.
How does CorrosionAI work?
It runs in four stages: IoT sensors collect asset data in real time, physics-based models process it, machine learning projects future corrosion patterns, and the result reaches the maintenance team as a recommendation. Dashboards run continuously with alerts.
How is it different from a purely statistical model?
The predictions are grounded in corrosion physics rather than in correlation alone, and every output is traceable for audit. That matters when an integrity decision has to be defended to a regulator or an insurer.
What does it monitor?
It tracks the operating variables of the asset in real time, including trace-level hydrogen sulphide, and calibrates itself continuously so the model does not drift away from the plant it represents.
How does it change maintenance planning?
It moves integrity work from reactive to predictive. Traditional monitoring detects damage after it has happened, whereas an early warning turns an unplanned shutdown into a scheduled intervention.