Designed for Maintenance and Reliability Teams
Smart Monitoring for Heat Exchanger Health, InScale-ai is a Hybrid AI software solution for predictive monitoring of scaling and fouling in industrial heat exchangers.
By combining physics-based models and machine learning, InScale-ai helps industrial operators improve condition-based maintenance, optimize performance, and extend equipment life.
Developed in partnership with Petrobras under the Conexões para Inovação program, the system was trained with real-world operational data from a range of offshore facilities, ensuring field relevance and high robustness.
Hybrid AI You Can Trust
Our models combine real-time operational data with simulation insights, enabling more accurate predictions of scaling and fouling buildup — and deeper understanding of system behavior.
Predictive Maintenance, Smarter
Move from reactive cleaning cycles to predictive, data-driven maintenance planning. InScale-ai helps you prioritize interventions, avoid unnecessary shutdowns, and reduce OPEX.
Performance Tracking and Forecasting
Estimate equipment performance and virtual flow rates continuously — even when flow meters are not available — and generate engineering insights to support decision-making.
Scalable and Intuitive SaaS
Monitor multiple heat exchangers across different assets from a single platform. Our intuitive dashboards provide transparency, alerts, trend analysis, and explainable predictions.