Arterial provides a computer-vision platform that turns municipal fleet vehicles into a continuous road-inspection network, automatically detecting and tracking hazards, signage, field assets, and pavement markings for city agencies. The system delivers a living GIS inventory enriched with 3D measurements and 70+ contextual factors, enabling crews to prioritize repairs without survey trips or manual inspections. Coverage typically captures about 80% of a jurisdiction's road network every two weeks.
Funding
Funding not disclosed
Founders
Product
Problem
Most cities have no reliable, current data on the condition of their roads and supporting infrastructure. Many agencies do not know the location of their own signs, guardrails, or manholes, and only discover hazards like potholes after a resident files a complaint. Traditional survey methods take months to collect data that becomes outdated almost immediately, leaving maintenance teams blind to degradation and unable to defend budget requests with accurate counts.
Solution
Arterial installs an AI-powered computer-vision dashcam (the ARTIE™ camera) into municipal fleet vehicles that are already driving their normal routes. As crews travel the network, the system passively collects imagery and automatically detects, measures, and geolocates roadway hazards, assets, signage, and pavement markings. A patented processing pipeline called E-LiDAR rebuilds each corridor as a near-LiDAR-accurate 3D model from standard camera footage without any dedicated survey trips. Detections are enriched with dimensions, degradation rates, and 70+ contextual factors, then scored against agency-defined priorities. The result is a living GIS inventory—refreshed roughly every two weeks, covering approximately 80% of the jurisdiction—that flows directly into the tools maintenance teams already use, allowing them to fix more issues with the same budget.
Target Audience
Primary customers are municipal and county public works departments, departments of transportation, and other government agencies responsible for maintaining roadways, signage, street furniture, and pavement markings within their jurisdictions.
Features
- Computer-vision dashcam pipeline that automatically detects 40 classes across four packages: hazards, field assets, signage, and line markings
- E-LiDAR technology that generates survey-grade 3D models and measurements (depth, width, length, degradation rate) from standard video without special equipment
- The Governor™ prioritization layer that filters detections against agency-defined collection criteria, sizing the workflow to match crew capacity
- Continuous condition assessment for field assets, tracking six traits including missing, damaged, defaced, obstructed, and clogged
- Automatic enrichment with over 70 contextual factors including traffic density (AADT), speed limits, snow-plow routes, bike lane proximity, and community reports
- MUTCD v.11-compliant signage inventory with coded and measured detections
- Record accuracy of 99.7%, with automated de-duplication and jurisdiction filtering
- Integrates directly with agency work-order systems, eliminating verification trips and manual inspections