XRoadz Inc provides an all‑in‑one platform that uses edge‑deployed AI, robotics sensors, and on‑device intelligence to deliver real‑time roadway analytics, crash prevention, and automated investigation tools. The system enables city departments to monitor traffic conditions, detect safety hazards, and respond instantly, improving road safety and traffic management while reducing fatalities and congestion. It integrates directly with existing infrastructure to create safer, more efficient urban environments.
Funding
Funding not disclosed
Founders
Product
Problem
Municipalities often rely on fragmented sensor networks and manual reporting to monitor road conditions, detect hazards, and investigate traffic incidents, leading to delayed responses, higher accident rates, and inefficient traffic management.
Solution
XRoadz delivers an integrated, edge‑AI platform that processes data from advanced robotics sensors directly on the device, providing real‑time roadway analytics and hazard detection. The system continuously monitors traffic flow, identifies potential crash risks, and automatically generates investigation reports, enabling rapid municipal response. By consolidating analytics, crash prevention, and automated investigation tools into a single platform, XRoadz helps city departments improve road safety, reduce fatalities, and streamline traffic operations without the need for separate hardware or software solutions.
Target Audience
Primary customers are municipal transportation, public safety, and traffic management departments seeking comprehensive, automated solutions for road safety and traffic efficiency.
Features
- Edge‑AI (A.I. 1) engine that runs inference on‑device, eliminating latency and dependence on cloud connectivity
- High‑precision robotics sensors for continuous detection of vehicles, pedestrians, and roadway anomalies
- Real‑time hazard alerts and automated incident classification to support immediate safety actions
- Integrated analytics dashboard that visualizes traffic patterns, congestion hotspots, and safety metrics
- Automated investigation workflow that compiles sensor data, video, and event timelines into ready‑to‑use reports
- Scalable architecture designed for city‑wide deployment across multiple intersections and road segments