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KEEPING CRITICAL INFRASTRUCTURE SAFE

Product

OUR TECHNOLOGY

01 / ADVANCED SENSORS

02 / CONDITION MONITORING

03 / AI SOFTWARE

Our innovative EMAT sensors are leading the way in non-contact ultrasonic transducers. Highly adaptable and versatile, these sensors are perfect for high temperature and irradiated environments, or simpler applications in ambient conditions. Our technology transmits and receives high-fidelity ultrasound, providing precise and accurate readings.

Our permanent remote condition monitoring is the perfect solution for facilities looking to stay ahead of the curve. Our cutting-edge technology detects even the smallest defects in places that are otherwise impossible to inspect. Designed to last for many years, our monitoring service delivers reliable results that keep your plant running smoothly and safely.

Our AI software provides unparalleled accuracy in detecting even the smallest defects, making it the ideal solution for businesses who value precision. Our software includes uncertainty quantification, providing a robust foundation for confident decision-making in critical scenarios. With this technology, we can also correlate your data with operational parameters, giving you a new level of insight into your plant operations.

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OUR STORY

Full Matrix was founded with the goal of ensuring the safety of critical infrastructure like fusion powerplants through the use of advanced non destructive testing. Our team of experts in sensor technology, AI, and condition monitoring are dedicated to providing the best solutions for our clients.

OUR VISION

Our vision is to become the leading provider of condition monitoring services for critical infrastructure worldwide. We believe that our technology can help to create a safer and more sustainable future.

OUR TECHNOLOGY

Our technology provides real-time data on the condition of components. Our condition monitoring system uses AI algorithms to analyze this data, allowing us to detect potential issues before they become critical. We are continuously improving our system through the use of machine learning and physics-based models, ensuring that we can provide the most reliable and effective solution for our clients.

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