InfraHub

PaveX is an AI-powered pavement condition assessment platform that uses vehicle-mounted RGB-D sensors, positioning, and vibration data to survey roadway networks. The system automatically detects and classifies pavement distress, then quantifies length, width, area, volume, and severity using depth-based measurements. It generates PASER and PCI condition scores, including PCI workflows aligned with ASTM D6433, and delivers GIS-ready condition maps with location-linked imagery and repeat-survey history. The same imagery can also be used to detect, geolocate, and inventory traffic signs and pavement markings.

GoodRoads offers a system that performs automated inspections of asphalt and concrete roads using device-mounted sensors to capture imaging and ride-quality data. The system computes standard condition scores (such as the Pavement Condition Index per ASTM D6433 and PASER) from the collected data. It also provides software tools to generate multi-year maintenance plans and manage roads and roadside assets through a desktop interface.

PULSE for Pavement from CITYROVER uses a single vehicle-mounted camera to automatically collect data on roadways, then generates ratings, roughness scores, marking inventories and pavement failure lists. It delivers outputs such as PCI scores, IRI measurements, crack surveys and marking conditions without requiring manual inspection of each segment. The system is designed to support public-sector road planning by feeding the data into budgeting, lifecycle analysis, work planning and communication workflows.