Advanced Pavement Analytics
We offer a management tool for scalable tracking of road conditions and insights to city planners, engineers, and decision-makers
About Us
We are developing technology to monitor pavement condition index (PCI) using hyperspectral satellite imagery and advanced ML algorithms. By identifying critical intervention points, our scalable solution can reduce maintenance costs by 90%, providing real-time, accurate PCI assessments that are far more efficient than traditional methods.
Relevant Challenges
Sustainable Manufacturing
Concentrates on adopting production practices that minimize environmental harm, reduce resource consumption, and promote sustainability throughout the production lifecycle of vehicles, components, and infrastructure such as low carbon manufacturing solutions or sustainable battery production through green mining and material sourcing.
Network Infrastructure
Involves the development and deployment of robust communication networks that support the reliable exchange of data within transportation systems such as wireless communication, 5G networks, vehicle-to-everything (V2X) communication, and software-defined networking.
Predictive Maintenance
Focuses on using data analytics, sensors, and advanced algorithms to predict when a vehicle or infrastructure component is likely to fail, enabling maintenance activities to be scheduled before failures occur. This improves reliability, safety, reduces costs and extends the vehicle’s lifespan.
Urban Spaces
Focuses on safety in urban spaces prioritizes safeguarding all users within urban environments by addressing accident prevention and risks associated with dense, mixed-use spaces that include vehicles, pedestrians, cyclists, and public transit.
