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How can I get started?

Let’s work together to improve our Nation’s infrastructure. Please reach out to our team at contact@cyvl.ai to get started.

What type of LiDAR does Cyvl use, and what are its specifications?

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.

Do I need to buy the sensor to use your services?

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.

What’s the pricing for using Cyvl?

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.

Do you offer free trials or demos?

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.

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What is sensor fusion, and how does Cyvl use it?

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.

How does Cyvl integrate with our tools and platforms?

Cyvl provides data in common formats such as GIS Shapefiles, Excel, CSV, GeoJSON, and Pointclouds, allowing seamless integration with existing software systems.

What is the accuracy of Cyvl’s geolocation for pavement data?

The median geo-location accuracy for pavement markings is under 1.5 meters, achieved through high-precision GPS, correction networks, and post-processing adjustments

How does Cyvl assess pavement condition?

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).

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What is Cyvl, and what services does it provide?

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.

How does Cyvl collect data on infrastructure assets?

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.

Is special training required to operate Cyvl’s sensor?

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.

What types of pavement distresses can Cyvl detect?

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.

What types of assets can Cyvl detect?

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.

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Where is Cyvl located?

Cyvl is based in Somerville, Massachusetts, right outside of Boston.

Ready to Start Saving with Cyvl?

We’re here to help your team work faster, deliver more projects, and make data-driven decisions. Because you’re building the future—for all of us.