Why the Air Force Is Using the Virtualitics AI Approach to Weapon Sustainment

Members of the 28th Aircraft Maintenance Squadron weapons load crew insert an inert joint air-to-surface standoff missile into a B-1B Lancer. (Image: U.S. Air Force photo by Staff Sgt. Jake Jacobsen)

On October 22, Virtualitics announced a new five-year, $46 million contract to provide the U.S. Air Force with its "Integrated Readiness Optimization" (IRO) artificial intelligence (AI) applications.

Based in Pasadena, California, Virtualitics describes itself as a "Mission AI" company that is providing a holistic, AI-guided approach to maintenance for the Air Force. Their platform goes beyond updates given via dashboard analytics to enable the integration of "Conditions Based Maintenance-Plus" (CBM+) risk levels derived from inventory, manpower, and equipment constraints to optimize maintenance scheduling and operational planning. The platform preprocesses and fuses data, builds AI models, creates knowledge graphs, and helps teams discover insights using best-in-class data analytics and immersive 3D visualizations to support tactical and operational level decision making.

Michael Amori, CEO and co-founder of Virtualitics, is the guest on this episode of the podcast to explain how their IRO AI platform is enabling a disruptive new data-driven approach to conditions-based maintenance.

This is the first episode of Season 6 of the Aerospace & Defense Technology podcast, with new interviews published every week in November.

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