NoTraffic Raises $90M Series C to Scale AI-Driven Traffic Infrastructure Across North America

NoTraffic has secured a $90 million Series C round as cities increasingly look for ways to modernize aging traffic systems without undertaking massive infrastructure overhauls. The funding, led by PSG Equity with participation from M&G Investments, Grove Ventures, LifeX, Meitav Investment House, and Next Gear Ventures, comes at a moment when urban mobility challenges are becoming harder to manage with traditional tools.

Already deployed across hundreds of agencies in the U.S. and Canada, the company is positioning itself as a foundational layer for how cities operate intersections—less like fixed hardware, and more like adaptable, software-defined systems.

Turning Intersections into Digital Infrastructure

At the core of NoTraffic’s approach is a shift away from static traffic signals toward a connected, intelligent network. Its platform uses AI-powered sensors, edge devices, and cloud-based software to monitor and respond to traffic conditions in real time, effectively allowing intersections to “think” and adapt continuously.

Rather than relying on pre-programmed timing cycles, the system dynamically adjusts based on actual demand—whether that’s prioritizing emergency vehicles, reducing pedestrian wait times, or easing congestion during peak hours. The broader goal is to transform intersections into part of a coordinated digital grid that can optimize flow across an entire city.

This model also allows cities to deploy new traffic strategies through software updates instead of physical upgrades, a distinction that becomes more meaningful as budgets tighten and infrastructure ages.

Scaling Adoption Across North America

The new capital will be used primarily to accelerate deployments across North America, where the company already operates in more than 40 states and provinces. Municipalities are increasingly dealing with a combination of staffing shortages, unpredictable traffic patterns, and rising public expectations around safety and efficiency.

NoTraffic’s pitch to agencies is relatively straightforward: use software to get more out of existing infrastructure. Its platform is designed to integrate with current traffic systems rather than replace them, enabling faster rollouts and lower upfront costs compared to traditional upgrades.

The company also operates a 24/7 operations center that monitors performance, runs diagnostics, and deploys over-the-air updates, effectively extending the capabilities of already stretched transportation teams.

From Pilot Projects to Core Infrastructure

One of the more notable shifts for companies in this category is moving beyond pilot programs. While many smart city technologies have struggled to scale, NoTraffic is now approaching broader adoption, with projections suggesting deployment could reach roughly one in ten traffic agencies across the U.S. and Canada by mid-2026.

Cities like Phoenix have already reported measurable improvements, including reduced congestion, shorter commute times, and better pedestrian flow. These outcomes are part of a growing body of evidence that software-led traffic management can deliver tangible operational gains without large-scale construction projects.

What Software-Defined Traffic Systems Enable Next

As intersections become programmable systems rather than fixed assets, the implications extend well beyond congestion management. One of the most immediate benefits is the ability for cities to respond in real time to changing conditions—whether that’s rerouting traffic during an accident, adjusting signals for major events, or prioritizing emergency response without manual intervention.

Over time, this type of infrastructure could serve as a foundation for more advanced mobility ecosystems. Connected vehicles, autonomous transportation, and smart logistics networks all depend on infrastructure that can communicate, adapt, and coordinate dynamically. Intersections that operate as part of a live digital network can support these systems more effectively than traditional signal-based setups.

There are also potential sustainability gains. By reducing idle time at intersections and smoothing traffic flow, cities can lower emissions without requiring large-scale physical redesigns. This aligns with broader urban goals around reducing congestion-related pollution while improving overall efficiency.

Operationally, the shift toward software-defined infrastructure introduces a different model for city management. Transportation departments can test and deploy new strategies quickly, iterate based on data, and scale successful approaches across entire regions. This reduces reliance on long planning cycles and enables more continuous improvement.

As adoption expands, the of traffic infrastructure is likely to evolve from a passive system that reacts to congestion into an active layer of urban intelligence—one that continuously optimizes how people and goods move through cities.