Exodigo is a subsurface intelligence company that helps infrastructure owners, engineers, and contractors reduce cost, schedule, and safety risk on critical infrastructure projects. Its core offering is an AI-powered, multi-sensor mapping platform that delivers accurate, design-ready subsurface intelligence in both 2D and 3D formats. Extending beyond mapping, Exodigo also provides AI-driven engineering services that integrate subsurface intelligence directly into design, project controls, and construction workflows.
A new subsurface mapping solution for rail
Exodigo recently announced the successful development and deployment of an advanced underground intelligence system specifically designed for rail infrastructure projects. At the 2026 International Consumer Electronics Show (CES 2026) in Las Vegas, the company introduced its subsurface mapping solution for rail as well as its first successful deployment with Israel Railways. The solution is built as an end-to-end underground intelligence system that combines remote analysis, field-based sensing, and AI-driven data fusion to deliver engineering-ready subsurface insight.
How it works
The process begins with AI-driven desktop mapping, where Exodigo gathers and analyzes existing records, as-builts, and historical satellite imagery to establish an initial understanding of subsurface conditions and identify gaps and risk areas. Exodigo then conducts on-site multi-sensor scans, deploying a proprietary array of non-intrusive sensing technologies, such as ground-penetrating radar and electromagnetic sensors, to collect extremely dense datasets, often exceeding 500 GB of data per acre.
On the software side, Exodigo’s AI platform processes and fuses these inputs, overlaying records and remote imagery with high-resolution field sensor data. Advanced machine-learning models interpret signals, resolve conflicts between datasets, and classify subsurface utilities and features with a high degree of confidence.
The output is a multidimensional subsurface model that identifies up to 90% of underground utilities without any intrusive work. Produced to American Society of Civil Engineers (ASCE) Subsurface Utility Engineering (SUE) standards, this integrated hardware-and-software approach transforms fragmented and uncertain subsurface information into a single, actionable source of underground truth for design and construction.
New capabilities for digital asset management in a dynamic environment
The multidimensional subsurface models produced by Exodigo serve as more than static visualizations: they function as a living digital subsurface layer that can be integrated directly into railway digital asset management and engineering workflows.
By linking verified subsurface intelligence to existing rail assets, operators gain a continuously accessible baseline that supports planning, maintenance, and development in a dynamic operating environment. These models allow teams to evaluate how underground conditions interact with track systems, signaling, electrification, drainage, and adjacent utilities, improving coordination across disciplines and reducing reliance on outdated records.
Because the models are generated at corridor scale and can be updated as new data is collected, they enable proactive maintenance planning, risk-aware design for upgrades and expansions, and faster response to unexpected conditions. In practice, this introduces new digital asset management capabilities, shifting rail organizations from reactive, assumption-based decision-making to AI-enabled, data-driven management of underground assets across the full lifecycle of the rail network.
Key differentiators and challenges addressed with Exodigo’s new solution
During an extensive railway corridor pilot, Exodigo proved clear superiority through a combination of performance, scalability, and operational impact. Key differentiators included:
- High-speed data acquisition: Continuous mapping from rail-mounted systems without track closures or service disruptions
- Data quality and accuracy: Clear, consistent detection and classification of subsurface assets across long corridor sections
- Comprehensiveness: Multi-sensor fusion delivered richer and more reliable results than single-technology approaches
- Operational readiness: The ability to deploy on existing railcars and operate within real-world railway constraints
In comparative evaluations against multiple global vendors, Exodigo’s solution stood out as the most mature, scalable, and infrastructure-ready technology.
The results presented by Exodigo demonstrate significant potential, not only for Israel Railways, but also for railway operators worldwide, who face common challenges, such as aging infrastructure, incomplete or outdated underground records, increasing demand for capacity, and pressure to minimize service disruptions during maintenance and expansion.
Traditional subsurface investigation methods are slow, disruptive, and often limited in coverage, making it difficult to maintain accurate asset inventories or confidently plan projects. Exodigo’s solution addresses these challenges by enabling:
- Network-wide subsurface mapping without excavation or downtime
- A unified, continuously updated source of underground truth
- Reduced risk of asset strikes, delays, and cost overruns
- Smarter long-term planning for maintenance, electrification, signaling, and expansion projects
As demonstrated with Israel Railways, the technology is applicable well beyond a single use case, offering railway operators globally a scalable way to modernize rail asset management and improve service reliability.
