Stop Guessing. Start Predicting CUI.
Predictive Analytics + Real-time Monitoring = Risk Intelligence.
Equity provides a data-driven, analysis-centric solution to identify, predict, and mitigate corrosion risk, enabling you to optimize maintenance spend and enhance asset reliability. By moving beyond reactive repairs to a predictive integrity program, we help you reduce operational risk and prevent costly failures.
Using all your data, Equity’s patent-pending methodology will save you millions of dollars in inspection and maintenance costs, plus reduce the risk of corrosion under insulation (CUI) damage.
Solution: Predictive Integrity Management Program
Sign up for a Phase 1 Calibration and Validation project and start achieving improved predictions. This non-intrusive program helps you get a handle on CUI, once and for all.
- Predict: Use Equity’s patent-pending, physics-based XAI model and your available data to forecast damage and failure time
- Observe: Use real-time sensor data to reduce uncertainty in the two most important predictive variables (Time of Wetness [ToW] and temperature)
- Learn: Model continuously updates and learns from new data, corrosion rates, risk predictions, and probability of failure (POF)
- Recommend: Gain supplemental insights to justify when, where, and how to inspect
Join the Early Adopter Community
Sign up today and solve CUI once and for all.
Reduce operational risk and prevent costly failures
Save millions by eliminating unnecessary inspections
Improve predictions by leveraging all plant data
Case Study: Validate and Predict Future CUI Damage in Process Units
Industry: Midstream
Location: Middle East
Type of Asset: 50-Year-Old Plant (piping and cold insulation system design)
Issue: Minimal prior inspection and maintenance due to continuous operations, dozens of leaks in the past 10 years, and severe insulation system damage. With ineffective corporate CUI guidelines in place, CUI was getting out of hand.
Solution: As shown by the validation data, Equity predicted all of the 42 cases with sufficient data available for model calibration and validation.
Result: Equity Research leveraged the calibrated and validated model to deliver a prioritized inspection plan for the unit that would have prevented 20 leaks ($20 million savings) and reduced excess inspections via focused NDE ($18 million savings).
What is Explainable AI?
Traditional AI is an amazing pattern finder. It can look at mountains of data and tell you what might happen. As a black box, however, it cannot explain the “why.”
Explainable AI (XAI) is different. It understands cause and effect. XAI goes beyond predicting that a piece of equipment will fail – it explains why it will fail.
XAI predicts what it thinks will happen based on physics, chemistry, and asset data. Next, it observes what's happening in the field; if there's a difference, the model will learn and update its own understanding. Finally, it will recommend the best actions to take using the newer, smarter model.
XAI gets smarter with every piece of new information.
Who is Equity?
At Equity, we are problem solvers.
We are focused on the safe and reliable operations of industrial equipment. We look at the whole picture and develop solutions that are purpose-fit for your unique needs. We are unified, collaborative, and proactive.
We are Equity.
© 2025 Equity Technology Group, Inc.
Equity Technology Group, Inc. is certified to the ISO 9001:2015 quality standard by ASR.
