AI-driven non-intrusive underground mapping for infrastructure projects
Exodigo fuses multi-sensor field data and AI into 3D subsurface maps for utilities, transportation and government work. Its stack pairs civil-engineering tooling (Bentley OpenRoads, Civil 3D, MicroStation, ArcGIS, iTwin) with a Python/AWS/Terraform backend and WebGL front end, indicating maps delivered straight into engineers' CAD workflows. Ops-dominated hiring and pain points around global field coordination show field crews are the scaling bottleneck.
Exodigo is a privately held company founded in 2021 and headquartered in Palo Alto, with 201–500 employees. It produces underground maps without excavation, combining multi-sensor fusion, 3D imaging and AI to locate subsurface assets. Customers include stakeholders in utilities, transportation and government. The company operates across North America, Europe and the Middle East, and hires in the United States, Israel, Canada and the United Kingdom.
Exodigo uses Bentley OpenRoads, MicroStation, Civil 3D, Revit, ArcGIS and QGIS for engineering deliverables, plus Python, Docker, AWS, Terraform, C#/.NET, React, TypeScript and WebGL, with NetSuite and HubSpot for business operations.
Yes, hiring is steady and led by operations roles, followed by engineering and sales, with a tilt toward senior-level positions across the United States, Israel, Canada and the United Kingdom.
Job posts point to backend services for field data acquisition, real-time ingestion pipelines, a 2D-to-3D vision pipeline, LLM-powered agents for spatial data automation, and tools built inside Civil 3D and ArcGIS.
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Exodigo's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.