AI solutions that transform industrial operations, increase reliability, and reduce costs.
Powertec develops and implements artificial intelligence models for predictive maintenance of industrial equipment. We use machine learning algorithms trained with real vibration, temperature, pressure, and electrical current data to detect anomalies before failures occur. Our models achieve over 92% accuracy in predicting breakdowns in turbines, compressors, pumps, and heat exchangers.
Data collection is performed by IoT sensors installed on critical assets, with real-time transmission to our analytics platform. The system generates automatic alerts classified by criticality, enabling maintenance teams to act proactively, eliminating unplanned downtime, and reducing emergency repair costs by up to 40%.
We employ convolutional neural networks (CNN) for automated analysis of inspection images. Drones equipped with high-resolution cameras capture images of equipment, piping, and structures in hard-to-reach areas, and our computer vision models identify corrosion, cracks, leaks, and deformations with millimeter precision.
This technology replaces or complements traditional visual inspections, reducing technician exposure to hazardous environments and accelerating the inspection cycle by up to 60%. Reports are generated automatically, with georeferencing of detected points and severity classification according to API, ASME, and PETROBRAS N standards.
We implement AI systems for real-time optimization of industrial processes. Our model predictive control (MPC) algorithms continuously adjust process variables — temperature, pressure, flow rate, and chemical composition — to maximize energy efficiency and production, while respecting operational and safety constraints.
Integration with existing SCADA and DCS systems is seamless, requiring no changes to the original control logic. Typical results include 5% to 15% reduction in energy consumption and 3% to 8% increase in productive capacity of processed units.
We use generative AI models to accelerate the project engineering phase. The tool automatically generates equipment layouts, optimized piping routes, and material estimates from process input parameters. Layout alternative conception time is reduced from weeks to days.
In addition, our natural language-based virtual assistants allow engineers to query technical standards, maintenance history, and project documentation through natural language conversation, streamlining decision-making and reducing critical information search time by up to 70%.
All our AI solutions follow principles of transparency, explainability, and safety. Models are validated with real data before deployment and continuously monitored to ensure reliability.
