AI Paves the Way for Smarter Road Repair in American Cities

EDISON, N.J. – April 21, 2026 – A new strategic partnership is set to change how municipalities manage their most fundamental asset: their roads. Vialytics, a technology firm specializing in artificial intelligence for road management, has joined forces with Verdantas, a national engineering and sustainability consulting firm. The collaboration aims to equip local governments with a powerful combination of AI-driven data and expert engineering guidance, promising a future of more efficient, cost-effective, and resilient roadway infrastructure.

The announcement signals a significant step in the ongoing digital transformation of public works, a sector often constrained by tight budgets and aging infrastructure. By integrating vialytics' innovative assessment technology directly into Verdantas' established engineering and planning services, the partnership offers a modern solution to the age-old problem of deciding which roads to fix, when, and how.

The Digital Overhaul of Public Works

For decades, municipal road assessment has been a labor-intensive, costly, and often subjective process. It typically involves specialized vehicles, road closures, and manual inspections that can provide an incomplete picture of a town's entire road network. This traditional approach makes proactive maintenance difficult, forcing public works departments into a reactive cycle of patching potholes and addressing citizen complaints as they arise.

The vialytics platform disrupts this model by turning everyday municipal vehicles—from garbage trucks to administrative cars—into sophisticated, automated road scanners. By mounting a standard smartphone to the windshield, the system uses AI and computer vision to continuously capture high-resolution imagery of the road surface. The AI then analyzes this data to detect, classify, and map a wide range of pavement distresses like cracks, potholes, and rutting.

This process generates a detailed, objective, and color-coded digital map of a city's entire road network, updated with each pass of a vehicle. The result is a real-time, comprehensive understanding of pavement conditions that was previously unattainable for most municipalities. This shift is part of a broader trend toward leveraging AI for smarter infrastructure management. Experts note that AI-powered tools can automate routine tasks, enable predictive maintenance by identifying issues before they escalate, and provide the objective data needed for better long-term planning.

"Reliable data is the foundation of good infrastructure planning," said Andy Kozma, President and CRO of vialytics Americas, in the announcement. "By partnering with Verdantas, we're enabling communities to pair objective pavement condition data with trusted engineering guidance, helping them prioritize projects, justify budgets, and plan smarter for the long term."

Paving the Way for Fiscal Responsibility

The partnership arrives at a critical time for local governments across the United States. Municipalities face a staggering infrastructure investment gap, with the American Society of Civil Engineers (ASCE) reporting a multi-trillion-dollar shortfall. While federal programs like the Bipartisan Infrastructure Law have allocated significant funds, accessing this capital can be a complex and competitive process, particularly for smaller towns with limited administrative resources.

This is where data-driven planning becomes a financial lifeline. By providing objective, quantifiable data on road conditions, the vialytics-Verdantas solution empowers municipalities to build much stronger cases for funding. Instead of relying on anecdotal evidence or outdated reports, public works directors and city managers can present clear, visual evidence of their needs to city councils, finance committees, and grant-making bodies.

This data allows for a more strategic allocation of limited funds. Rather than spreading a budget thinly across numerous minor repairs, a town can use the system to identify which roads are in critical need of full reconstruction versus those that can be preserved with less costly preventative treatments. Verdantas integrates this raw data into comprehensive capital improvement plans, maintenance strategies, and engineering recommendations, ensuring that every dollar spent delivers the maximum impact on the network's overall health.

"Communities are looking for practical, cost-effective ways to understand their infrastructure needs," stated K. James Taylor, Jr., PE, an Associate Vice President at Verdantas. "This partnership allows us to combine our planning and engineering expertise with innovative technology, giving our clients better visibility into road conditions and stronger support for data-driven decision-making."

From Potholes to Proactive Planning

The collaboration is already demonstrating its value on the ground. The press release highlighted the town of Elkton, Maryland, as an early success story. Guided by Verdantas, Elkton's Public Works team deployed the vialytics system across its 35-mile road network. The initiative allowed the town to move beyond "guesswork," providing a clear, data-backed plan that, for the first time, aligned projected repair costs with its available budget.

This case study exemplifies the shift from a reactive to a proactive maintenance philosophy. By understanding the precise condition of every road segment, municipalities can intervene at the right time with the right treatment, extending the life of their pavement and preventing small problems from becoming expensive failures. This proactive approach not only saves taxpayer money over the long term but also improves public safety and minimizes disruption for residents.

The market for such technology is growing, with companies like RoadMetrics and Strinso also offering AI-based solutions for infrastructure assessment. However, the vialytics-Verdantas partnership is notable for its integration of cutting-edge data collection with deep engineering expertise. While AI can identify a crack in the pavement, it takes an experienced engineer to understand the underlying cause, design the appropriate repair, and integrate that project into a long-term, sustainable asset management strategy.

This combination of machine intelligence and human oversight addresses a key concern among industry experts, who caution that AI is a tool, not a replacement for professional judgment. The effectiveness of any AI system depends on high-quality data and expert interpretation to ensure that decisions ultimately safeguard public safety and promote the long-term stewardship of vital transportation assets. By uniting these two disciplines, the partnership aims to create a holistic solution that helps build more resilient and efficient communities for the future.