Odysight.ai Inc., a leading provider of visual-based Predictive Maintenance (PdM) and Condition-Based Monitoring (CBM) solutions, announced the successfull completion of its first Odysight.ai TruVision® European flight on an AW139 Leonardo helicopter tested by the Italian Air Force.

This milestone represents Odysight.ai’s first operational footprint in Europe, a significant step forward as the Company expands into the world’s second largest helicopter market.

The test, in cooperation with SIPAL¹, a leading Italian engineering company, was conducted by the Italian Air Force Flight Test Unit (R.S.V.), part of the Aeronautical and Space Experimentation Division responsible for studying and conducting all ground and flight tests of the Italian Air Force’s aircraft, developing software and hardware modifications to aeronautical systems and conducting Operational Test and Evaluation (OT&E) of new systems in real-world environments.

The demo was conducted on a European-made AW139 Leonardo helicopter operated by the Italian Air Force. The AW139 is a best-selling twin-engine helicopter, a multi-mission platform widely used in both civil and defense fleets, representing a market potential of over 1,000 units in service worldwide. The aircraft is manufactured in cooperation with Boeing on a variant known in the U.S. as the MH-139A Grey Wolf. Operating on such a versatile and globally recognized platform has provided both parties valuable validation opportunities for future applications.

“Following successful demonstrations and implementations of our solutions across several Israeli and American platforms, in collaboration with the Israeli Air Force and a global defense corporation, we are proud to have validated our capabilities also on a European-originated Leonardo AW139 helicopter,” said Yehu Ofer, Chief Executive Officer of Odysight.ai. “The Italian Air Force test represents an important step in Odysight.ai’s European expansion. Working alongside leading European experts enables us to demonstrate how our visual-AI technology integrates within established aerospace ecosystems, reinforcing the transition toward predictive, data-driven maintenance.”