Predictim Corrosion Solution
Predictim Corrosion Solution is an enterprise predictive risk platform, available as both a SaaS application and a developer API, developed through a decade of applied research in maritime corrosion science — including contributions to the European Interreg SOCORRO programme. It forecasts corrosion rates in submerged steel infrastructure with multi-sensor precision, enabling industrial operators to move from scheduled inspection cycles to targeted, evidence-based maintenance planning.
* Illustrative results from representative deployments; not a guarantee of outcome.
What this platform does
Each capability is a deployed module — not a feature on a roadmap. Engagements typically begin with a 4-week scoping exercise to confirm fit against your operational data and constraints.
Submerged steel corrosion prediction
Our machine-learning models predict the uniform corrosion rate of unprotected steel submerged in industrial process water or seawater, detecting risks before physical structural decay occurs.
Real-time multi-sensor telemetry API
Developer endpoints ingest real-time sensor streams (pH, conductivity, dissolved oxygen, temperature) to dynamically compute local water corrosivity indexes.
Predictive risk matrices
Predictive analytics map telemetry history into an intuitive risk matrix, enabling asset managers to plan targeted maintenance and anode replacements years in advance.
Offshore & port infrastructure templates
The API includes pre-configured mathematical models for specific marine assets, including wind turbine monopiles, sheet piles, and harbour walls.
RESTful developer integration
A developer-first REST API allows industrial operators and SCADA systems to query historical metrics and predict structural lifespans with simple JSON payloads.
Related reading
Pipeline Predictive Maintenance: Sensor Strategies, Failure Modes, and AI Models
"IoT sensors plus AI" undersells how failure-mode-specific pipeline monitoring actually is — a leak-detection system and a corrosion-forecasting system solve different problems, on different signals, at different timescales.
ReadFrom Reactive Inspection to Predictive Maintenance: AI and IoT for Pipeline Infrastructure
Pipeline corrosion and material wear are usually caught after the fact. Combining computer vision, IoT telemetry, and predictive models shifts maintenance from reactive repair to scheduled intervention — before failure, not after.
ReadWhich Platforms Help Extend Asset Life Through Corrosion Forecasting? An Evaluation Guide
Corrosion forecasting platforms range from generic anomaly detectors to physics-informed remaining-life models — the difference determines whether a flagged pipe segment gets an inspection crew or gets ignored.
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ExploreReady to deploy Predictim Corrosion Solution?
Request API access, or talk to our engineering team about integrating this into your existing operations.