Odysight.ai Partners with XP Services for First US Flight Testing of its AI-Predictive Maintenance System on UH-60 Helicopter
Omer, Israel, March 06, 2026 (GLOBE NEWSWIRE) -- Odysight.ai
Under the agreement, the system will be installed on a U.S.-operated UH-60 helicopter based in Tullahoma, Tennessee. The Company’s proprietary system integrates ruggedized visual sensors, embedded software, and AI-driven analytics to deliver continuous, real-time monitoring of critical components in hard-to-access areas. By converting visual data into actionable maintenance intelligence, the Company’s solution enhances flight safety, supports operational readiness, and reduces unscheduled downtime.
The initial deployment will focus on safety-critical elements, including flight control support components, hydraulic lines and reservoirs. Odysight.ai’s algorithms detect leaks, cracks, corrosion, misalignment, and other material condition. In partnership with XP Services’ flight test team, the system will undergo full flight testing, supporting future potential Supplemental Type Certification (STC) and Airworthiness Review (AWR).
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Odysight.ai continues to expand its AI-powered visual analytics platform to transform predictive and condition-based maintenance across aviation, aerospace, and other mission-critical industries. This deployment represents a key step toward commercialization in the U.S. defense and aviation markets.
Odysight.ai, incorporated in Nevada U.S., with European and Israeli subsidiaries, pioneers Predictive Maintenance (PdM) and Condition-Based Monitoring (CBM) markets with an innovative AI platform that transforms critical systems across Aviation & Aerospace, Transportation, Energy, and Industry. Leveraging advanced visual sensing, real-time analytics, and AI-driven insights, Odysight.ai enables safer, smarter, and more efficient operations. The Company’s technology has been deployed in projects with NASA, the U.S. Department of Defense and leading aerospace OEMs, delivering measurable improvements in system reliability and maintenance efficiency.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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