PRENAV

PRENAV is a Redwood City, California company that sells PRENAV.XYZ, a browser-based service for automated visual inspection of civil and industrial structures. Inspectors fly off-the-shelf drones, then upload the drone, camera, or lidar datasets. PRENAV runs managed cloud photogrammetry to build a high-resolution 3D point cloud of the structure. Deep learning models then highlight defects on both the point cloud and the source images. The current models cover concrete cracking, spalling, exposed rebar, cracks in steel, and rust, and PRENAV says it can train custom models for a customer's own defect types. Users can mark and measure damage, add it to inspection reports, track changes over time, and share point clouds through a web viewer. Point clouds can be exported to common 3D formats for CAD work. A second product, Synthetic Imagery as a Service, renders labelled photoreal defect images for teams that train their own vision models. The company says its work has covered bridges, dams, and cell towers, and that in 2017 it ran the first automated drone flights inside a working nuclear reactor. The service suits infrastructure owners and inspection engineers who want AI defect detection on structures rather than general mapping. Pricing is not published: buyers request a demo and a quote through the contact page. The main drawbacks are a lack of transparency and of independent evidence. There is no public pricing, no published API, no security or compliance documentation, and no user reviews on the major review sites. The last recorded funding round was about seven years ago, so buyers should confirm the vendor can support them before they commit.