Previse Technologies offers a physics‑based analytics platform that converts continuous humidity sensor data—or CFD‑simulated water transport when sensors are unavailable—into daily wetness and corrosion risk predictions for insulated equipment. The solution integrates with any CUI humidity sensor, provides visualizations on 2D isometrics or 3D models, and can be deployed on‑premise or as a cloud SaaS, enabling plant operators to target maintenance to genuine problem areas and reduce inspection costs and safety risks.
Funding
Funding not disclosed
Founders
Product
Problem
Corrosion Under Insulation (CUI) occurs when water penetrates insulation, leading to hidden metal corrosion that causes the majority of pipe failures and major incidents in process industries. Detecting CUI requires costly, disruptive inspections that involve removing insulation and cladding, resulting in high maintenance expenses, waste, and safety risks.
Solution
Previse Technologies provides a physics‑based analytics platform that turns continuous humidity sensor data into actionable predictions of equipment wetness and corrosion risk. Their solution works with any CUI humidity sensor and can also operate without sensor data by using an in‑house CFD simulator to model water transport in insulation. The platform delivers interactive visualizations on 2D isometrics or 3D geometry, integrates with existing Risk Based Inspection workflows, and is available as a cloud SaaS or on‑premise deployment. By classifying daily sensor readings into dry or wet conditions and quantifying time‑of‑wetness, Previse enables operators to focus maintenance on genuine problem areas, reducing scope, cost, emissions, and safety exposure.
Target Audience
Primary customers are asset owners and operators of process plants—such as oil & gas, petrochemical, and power generation facilities—who manage extensive insulated piping and seek to shift from reactive to predictive CUI maintenance.
Features
- Compatibility with all CUI humidity sensors, aggregating data from multiple vendors into a unified view
- Physics‑based analytics that classify each day as dry or wet, producing data‑driven probability of failure metrics
- CFD‑based simulator (cuiSim) for full 3D modeling of water transport in insulation, validated against experiments and field tests
- Interactive visualization (cuiView) overlaying wetness predictions on plant isometrics or 3D models, supporting what‑if scenario analysis
- Integration options for on‑premise software or cloud SaaS, plus APIs to connect with digital twins and existing IIoT ecosystems
- Alignment with Risk Based Inspection methods to incorporate wetness data into maintenance planning