
Israeli AI Innovation Maps Underground Infrastructure to Improve Rail Service
Israel Railways and startup Exodigo are showcasing groundbreaking AI technology at CES Las Vegas that creates detailed underground maps to enhance railway maintenance and reduce passenger disruptions. This innovative collaboration demonstrates how cutting-edge technology can improve daily commutes while saving time and resources.
In an exciting display of technological innovation, Israel Railways and Israeli startup Exodigo are turning heads at the prestigious CES technology exhibition in Las Vegas with their revolutionary AI-powered underground mapping system. The collaboration represents a major leap forward in railway infrastructure management, promising better service for passengers and more efficient operations.
The breakthrough system uses advanced remote sensing technology adapted specifically for railcars, creating comprehensive digital models of underground infrastructure along railway corridors. What makes this particularly impressive is how the technology transforms the way railways can plan, maintain, and expand their networks without causing headaches for daily commuters.
Israel Railways has already begun deploying the system across multiple track segments, with remarkable results. The technology provides railway teams with accurate, high-quality information about existing underground infrastructure through a single, centralized data source. This means workers can see exactly what lies beneath the tracks before breaking ground, preventing costly mistakes and avoiding unnecessary delays.
The partnership came together through an innovative approach by Israel Railways' management and innovation division. After assessing their infrastructure mapping needs, they launched an "Innovation Challenge Tender" to find the best global solutions. Exodigo emerged victorious after outperforming both Israeli and international competitors in rigorous comparative evaluations and an extensive pilot program along an actual railway corridor.

The Ripple Effect
The impact of this collaboration extends far beyond Israel's borders. Railway operators worldwide face similar challenges when trying to maintain excellent service while simultaneously expanding and upgrading their infrastructure. This solution offers a blueprint for transit systems globally, showing how AI and remote sensing technology can revolutionize an industry that millions of people depend on daily.
Acting CEO Avi Elmalich emphasized the company's commitment to innovation, noting that Israel Railways continuously works to identify technological solutions that improve passenger service and maintenance efficiency. The successful pilot program demonstrated the system's tremendous potential not just for Israeli railways, but for transit operators around the world.
Jeremy Suard, CEO and co-founder of Exodigo, highlighted how the solution enables systematic mapping of rail assets while introducing new capabilities for digital asset management in dynamic environments. Perhaps most exciting is how this technology creates the foundation for future integration of additional AI tools into infrastructure decision-making, all aimed at maximizing public service.
The delegation presenting at CES includes Board Chairman Moshe Shimoni, Acting CEO Avi Elmalich, and Head of the Innovation Division Hagay Rosenfeld, marking the successful completion of the development and adaptation phase. Their presence at one of the world's premier technology exhibitions showcases Israeli innovation on a global stage.
For everyday passengers, this technology translates into fewer delays, smoother service, and more reliable commutes. For the railway industry, it represents a smarter, more cost-effective way to manage and expand critical infrastructure. It's a win-win scenario that demonstrates how cutting-edge technology can solve real-world problems while improving quality of life for millions of commuters.
Based on reporting by Google News - Israel Technology
This story was written by BrightWire based on verified news reports.
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