Static models fail
dynamic corrosion.
Large industries spend 7–10% of total operational budget on corrosion-related maintenance every year. Traditional software relies on fixed, rule-based models — incapable of handling the thousands of variables that drive real-world corrosion.
CorrosionIntel's ML models evolve with your asset data — predicting corrosion progression in real time so you can plan maintenance before failures, not after them.
Intelligence across
every asset class.
Corrosion Prediction
Real-time AI/ML-based prediction of corrosion progression across complex industrial assets — pipelines, storage tanks, pressure vessels.
Corrosion Modeling
Feature-engineered models built on domain-specific data. Handles multi-variable environments where static software fails.
Cloud-Based Monitoring
On-cloud algorithmic processing with multi-database integration and multi-level data fetching for live asset health dashboards.
Inspection Automation
Machine-backed inspection scheduling and reporting. Reduce manual overhead and eliminate surprise failures.
Corrosion Testing
Lab-based corrosion testing with structured report generation. Field data feeds directly into your predictive models.
Health & Safety Management
Predict equipment integrity before it becomes a liability. Compliance-ready safety management for critical infrastructure.
Any industry the industrial revolution touched
is impacted by corrosion.
Built on a decade of
corrosion science.
Corrosion Intelligence Private Limited was incorporated to build and distribute AI-driven corrosion software for the industrial sector. The company emerged from technology developed by its parent organisation, Caliche Private Limited — a deep-tech engineering firm founded in 2018.
Headquartered at NRDC, New Delhi — India's national R&D commercialisation body — CorrosionIntel operates at the intersection of materials science, machine learning, and industrial operations.