Resources

Thinking seriously about AI in asset integrity.

Research, real-world applications, and industry perspectives for integrity
professionals navigating the shift toward connected, AI-driven operations.

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Industry Reports and Insights

Industry Perspective

From Fragmented Data to Decision-Ready Integrity

Asset integrity does not have a data problem - it has a context problem. Why the next step is not another system of record, but an intelligence layer that prepares...

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Customer Use Cases

Chemicals Shutdown Management Weld Inspection

RT Weld Inspection Management

deeplify brought six fragmented RT weld inspection steps into one connected platform, integrating SAP, inspection contractors and digital archives to accelerate inspections, eliminate rework and improve traceability.

66%

Inspection cycle reduced from 3 days to 1

~1,260

rework loops eliminated per year
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Corrosion Monitoring Oil & Gas

RT Wall Thickness Monitoring & Analysis

Across hundreds of process units, AI-assisted wall thickness analysis replaced manual campaign workflows, accelerating inspections, centralising data and providing continuous corrosion insights for more informed turnaround planning.

70%

reduction in analysis and reporting effort

50%

faster end-to-end inspection cycles
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Asset Integrity Oil & Gas RBI

Corrosion Intelligence & RBI Preparation

With inspection history, asset hierarchy and maintenance records connected in one intelligence layer, corrosion rates and data checks are automated for faster, more reliable RBI updates.

≤60%

reduction in data preparation time

Full

traceability from raw inspection data to RBI input
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Research Projects

UltrasonAIc

AI-based ultrasonic testing system for real-time defect detection. This project develops AI models capable of analyzing ultrasonic testing data in real time, advancing the reliability and speed of defect detection...

Partners
  • Bundesanstalt für Materialforschung und-prüfung (BAM), Berlin
  • DGZfP Ausbildung und Training GmbH, Dortmund
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GenAI4ZfP

Generative AI for quality management in non-destructive testing. This project explores how generative AI can improve documentation quality, consistency, and traceability in NDT workflows — directly addressing the data quality...

Partners
  • Werkzeugmaschinenlabor WZL der RWTH Aachen
  • DIN Deutsches Institut für Normung e.V.
  • Messtronik GmbH
  • LaVa-X GmbH
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Digi4Plas

Digital methods for optimizing plasma coating processes in production. This project develops digital tools for monitoring and controlling plasma coating processes — contributing to deeplify's broader expertise in industrial process...

Partners
  • Fraunhofer IST
  • House of Plasma GmbH
  • Plasus GmbH
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