
Dynamic Infrastructure Brings AI-Powered Satellite Risk Prediction to America's Roads and Bridges
New service combines satellite radar, engineering records and AI to spot ground movement and other infrastructure risks before they become visible
NEW YORK, Oct. 13, 2026 /PRNewswire/ -- Dynamic Infrastructure, the Engineering AI Agent platform for critical civil assets, today launched an AI-powered satellite service that detects ground movement and standing water beneath roads and around culverts before problems become visible and costly. The platform combines satellite radar data with road condition, current and forecasted Average Daily Traffic (ADT), historical trends and other documented engineering data to highlight potential future failures. Drawing on its own record of more than 7,000 large structures and tens of thousands of smaller assets, Dynamic Infrastructure uses AI to analyse the data and identify changes engineers can act on.
How satellite data and AI read each asset:
- Roads. The satellite reads ground height with great accuracy. With the right expertise, this data can be translated into displacement beneath the pavement, including ground and sediment shifting under the roadbed. The platform combines those readings with the road's Pavement Condition Index (PCI) rating, current and forecasted traffic volume and historical trends to predict which road segments are at risk of deterioration over the next two to four years. Preventing the need for repaving and major road maintenance can save millions of dollars a year.
- Bridges. Vertical movement can be measured to sub-inch accuracy. This shows whether the deck or pavement is moving vertically because of problems in the ground beneath it, which can in turn affect the deck. It adds the ability to continuously monitor this important aspect of a bridge's stability. Combining structural deterioration monitoring with ground movement data gives a comprehensive view to support engineering decisions.
- Culverts. Satellites can also detect standing water around a culvert, a sign that it may not be working properly. Where structural documentation from ground inspections exists, Dynamic Infrastructure automatically combines it with the satellite data. This makes stormwater management and maintenance easier and directs budget to the places that affect the entire system.
Agencies have rarely been able to assemble this picture. Where they have, it has come from separate sources and systems, with one system for bridges, another for pavement and a survey for other assets. With Dynamic Infrastructure's Engineering AI, satellite ground readings now sit as an integrated layer inside the platform that holds all of them, so an asset and the ground beneath it are seen together, giving a comprehensive view for better-informed decisions.
"A road can look perfectly fine while movement is already happening below the surface," said Saar Dickman, CEO of Dynamic Infrastructure. "Satellite readings give engineers a longer-range view, so they can build preventive work into their plans before a problem becomes a failure. The earlier you act, the less it costs."
Resurfacing a single mile of road can cost hundreds of thousands of dollars, so preventing or delaying even one mile of premature resurfacing can justify the cost of monitoring an entire network. Earlier insight can also help agencies avoid rework, where a road is resurfaced and crews later have to return because the underlying cause sat below the surface.
Dynamic Infrastructure's detection record has been independently underwritten. Following technical due diligence, Munich Re backed the company's AI inspection analysis with an industry-first insurance guarantee that 99% of critical faults are detected in time to prevent structural failure.
The readings also help agencies prepare for severe weather and natural disasters. Unstable ground can be more vulnerable during hurricanes or extended heavy rainfall, and a blocked culvert cannot carry stormwater away. The Engineering AI combines the satellite readings with each asset's history to assess its exposure to water and storms, and ranks where that risk is greatest. Before a storm, agencies can see which roads and bridges sit on moving ground and which culverts are showing standing water, and deal with those first. After a flood, major storm or other event, they can request an additional analysis to see where the ground has shifted, so crews can be sent where the damage is.
Over the past year, the capability has been tested with data center REITs and public sector clients in several counties, with strong results and feedback. It is available now to public agencies and infrastructure owners in the United States and internationally.
About Dynamic Infrastructure
Dynamic Infrastructure is the Engineering AI platform and system of record for critical civil assets, managing thousands of structures across 15 US states, the UK and Australia. The platform delivers autonomous risk intelligence to predict deterioration and assess structural health, replacing subjective opinions with data-driven clarity to help prevent catastrophic failures. Led by deep-tech entrepreneurs and industry experts, the company scales engineering judgment to address global budget constraints, the workforce crisis and the aging infrastructure cliff. For more information, please visit https://diglobal.tech/
Press inquiries: Leah Stern, Dynamic Infrastructure Media Desk, +44 747 019 6826
SOURCE Dynamic Infrastructure
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