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XenomatiX provides a solid‑state LiDAR sensor, Xavia, that combines high‑resolution 3D point‑cloud capture with an integrated 2D camera and edge AI to deliver real‑time pavement and runway condition metrics such as PCI, IRI, and rut depth. The plug‑and‑play hardware mounts on mobile mapping vehicles or handheld rigs, enabling fast, traffic‑free inspections at speeds up to 90 km/h and delivering data through a web dashboard or API for immediate analysis.
Raised to date
$2.7MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.


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Road and runway operators need frequent, high‑resolution surface inspections to assess conditions such as roughness, rutting, cracks, and debris, but traditional methods rely on bulky equipment, manual surveys, and traffic disruptions, leading to high costs and delayed maintenance decisions.
XenomatiX offers a solid‑state LiDAR sensor (Xavia) combined with edge AI and integrated 2D camera to capture dense 3D point clouds and visual data in real time. The system generates pavement condition indices (PCI, IRI, rut depth) and runway safety metrics on‑the‑fly, without stopping traffic. Data are georeferenced, compensated for vehicle motion, and delivered through a web‑based dashboard or API for immediate analysis and reporting. The plug‑and‑play hardware can be mounted on mobile mapping vehicles, construction machinery, or handheld rigs, enabling single‑operator operation at speeds up to 90 km/h. By consolidating multiple inspection tasks into one platform, XenomatiX reduces equipment costs and inspection time while improving measurement accuracy.
Primary customers are road agencies, airport authorities, and construction firms that require fast, accurate pavement and runway inspections, as well as mobility companies integrating 3D perception into autonomous vehicles or surveying platforms.