The Israeli company’s AI platform was chosen to test the New York infrastructure

The artificial intelligence platform (Engineering AI Agents) of Dynamic Infrastructure, which currently operates in 14 states in the US and provides service to dozens of municipalities, counties and state transportation bodies, and is designed for the management and maintenance of infrastructure assets, reports that it has been selected to participate in the prestigious Partnership for New York City program of 2026.

The company says that New York’s major public transportation bodies, including the MTA, which operates the subway networks and the Port Authority of New York and New Jersey, examined over 130 technologies from startup companies from around the world this year and chose 18 of them, including Dynamic Infrastructure, which is participating in a pilot to test their potential to improve the city’s transportation systems and lead projects to upgrade them. “With most of the start-ups selected for the program over the past eight years, full-scale commercial engagements have been created that have changed the face of public transportation in New York City through technological innovation,” the company said.

The company elaborated on the platform, which will participate in the trials and serves as a “virtual engineer” who analyzes existing information from various sources such as: photos, drones, cameras and historical review reports, in order to identify wear and tear processes and malfunctions and provide risk assessments and recommendations for maintenance operations in infrastructures such as: bridges, roads, tunnels, dams, ports, railroads and more. The system quickly scans the visual and textual information using engineering AI agents, identifies structural and functional deficiencies and produces for each asset a complete condition assessment, wear forecast and engineering and economic justification for carrying out work. The technology allows engineers to get an accurate picture of all assets and move to a preventive maintenance prioritization strategy, based on data and budget preference.