Cyvl is an AI-powered roadway and infrastructure management system that uses 3D LiDAR and street view imagery to collect and analyze data on roads, signs, and other assets. It offers various solutions for pavement conditions, pavement markings, sign inventories, 3D LiDAR scans, 360° street view imagery, and ROW assets. Data is processed using sensor fusion and AI to provide actionable insights. The system is designed for use by governments and engineering firms to improve efficiency and decision-making. Cyvl provides data in various formats for integration with existing software. The company is headquartered in Boston, MA, and has completed 250+ projects.
• ai-powered data analysis
• 360° street view imagery
• sensor fusion
• data integration with gis software
• row assets
• sign inventories
• pavement condition assessment
• 3d lidar scans
Cyvl’s LiDAR sensor is “civil engineering grade”. Our sensor (Ouster OS1-64) has a range of 0.8 to 120 meters, depending on reflectivity. It operates with 64 beams, offering high accuracy, and generates over 1.3 million points per second for detailed data collection.
Nope, you don’t need to buy the Cyvl sensor to use our services! We offer a leasing option so you can use the sensor for your project without committing to a full purchase.
Our pricing is tailored to each project’s specific needs. Please reach out to our team at contact@cyvl.ai to discuss your requirements and receive a customized quote.
Yes! Experience the power of our technology for your infrastructure needs. To schedule a demo or inquire about trial options, please reach out to our team at contact@cyvl.ai.
Sensor fusion is the process of integrating data from LiDAR and high-resolution cameras to enhance accuracy. Cyvl’s sensor fusion combines 2D images and 3D properties, allowing for reliable, complete data that improves the quality of condition assessments and asset inventories.
Cyvl provides data in common formats such as GIS Shapefiles, Excel, CSV, GeoJSON, and Pointclouds, allowing seamless integration with existing software systems.
The median geo-location accuracy for pavement markings is under 1.5 meters, achieved through high-precision GPS, correction networks, and post-processing adjustments
Cyvl assesses pavement condition by identifying various types of distresses such as cracks, potholes, and deformations. These defects are mapped, measured, and scored on a 0-100 scale that aligns with the ASTM Pavement Condition Index (PCI).
Using advanced 3D mapping sensors and proprietary AI, Cyvl helps governments, engineers, and infrastructure owners efficiently collect and analyze data on roads, traffic signs, and other assets. Cyvl empowers users to make data-driven decisions and optimize resources for a better-managed physical world.
Cyvl uses a vehicle-mounted sensor equipped with LiDAR, GPS, and high-resolution cameras to create a detailed 3D map of the environment. This system captures data on pavements, sidewalks, signs, and other nearby assets as the vehicle travels.
Nope! The Cyvl Sensor is a plug-and-play, vehicle-mounted roadway mapping machine. It can be mounted to any vehicle and used by anyone.
Cyvl detects distresses, including alligator cracking, edge cracking, longitudinal/transverse cracking, potholes, rutting, and shoving. Distresses are geo-located on the pavement surface and evaluated based on size and severity.
Cyvl’s AI-powered mapping technology detects and analyzes a wide range of physical assets, including traffic signs, curbs, sidewalks, visible utilities like manholes and hydrants, and road markings.
Cyvl is based in Somerville, Massachusetts, right outside of Boston.
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