NC Tech provides IT consulting and managed services.
NCTech offers a service that collects high-resolution 360° street-level imagery and LiDAR data to document infrastructure assets in the field. It uses geospatial capture techniques to map the exact location, orientation, and status of items like signs, poles, utility boxes, sidewalks and more. The data collection process replaces many site visits by enabling desktop review of assets, and feeds into updating inventories and condition assessments with minimal manual input. The captured imagery and 3D data can be regularly refreshed so agencies can monitor change over time and integrate the outputs into GIS or asset-management systems.
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.
ROMDASTM RoadmasROMDAS is a modular, vehicle-mounted data capture system designed to survey road and asset conditions using a range of sensors. The core platform combines hardware interfaces and acquisition software with optional modules such as the Laser Crack Measurement System (LCMS) for 3D pavement profiling, GPS and geometry tracking, and video logging for both pavement and right-of-way views. It can also measure macro-texture, rut depth, and surface defects like cracks and potholes. Collected data are processed through the DataView software, which synchronizes measurements with imagery and location data to produce mapped condition information suitable for integration with GIS and asset management systems.
Viso.ai Suite Viso.aiViso Suite is a computer vision platform that enables automated pothole detection using video feeds or images from cameras mounted on vehicles or infrastructure. The platform allows users to build and deploy detection models that identify and locate potholes in real time, measuring their position and dimensions. It supports integration with mapping and workflow systems so maintenance teams can visualize detections, generate alerts, and plan repairs directly from the captured data.
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