Derq's New AI Platform Aims to Predict and Prevent Road Fatalities

AMSTERDAM, Netherlands – March 10, 2026 – In a move that could fundamentally reshape how cities manage road safety, intelligent transportation company Derq today unveiled the next generation of its INSIGHT platform at the Intertraffic 2026 conference. The announcement signals a significant industry shift from passively analyzing traffic accidents to proactively preventing them using a powerful new form of artificial intelligence.

The MIT spinoff, founded in 2016, has built its reputation on using AI to analyze near-misses and crashes at intersections. With this new release, Derq is introducing what it calls “agentic AI,” a system designed not just to report data, but to interpret it, identify root causes of risk, and recommend specific countermeasures. This leap from analytics to active decision support aims to arm transportation agencies with the tools to stop tragedies before they happen.

“Transportation agencies have no shortage of data, but turning that data into actionable intelligence has remained a major gap,” said Dr. Georges Aoude, co-founder and CEO of Derq, in a statement. “The next frontier uses intelligence to understand why incidents occur, what drives traffic patterns, and how to respond in real time. With the next generation of INSIGHT, agencies can move from reactive analysis to proactive decision making.”

The Shift to Proactive Intelligence

For years, the standard approach to traffic safety has been reactive. A tragic accident occurs, data is collected, and engineers study the incident to inform future infrastructure changes. Derq's new platform seeks to invert this model. By continuously analyzing real-time data from cameras and sensors, the system is designed to act as a digital expert, constantly watching for the precursors to danger.

The new agentic AI capabilities are central to this promise. The platform includes:

• Interactive Agents: These AI-powered assistants can interpret complex data sets, compare traffic patterns over different timeframes, and automatically surface critical trends and safety issues that might take a human analyst days to uncover.
• Recommendation Engine: Moving beyond simple alerts, the system will proactively suggest specific countermeasures for identified risks, such as retiming traffic signals, redesigning lane markings, or installing new signage. This transforms the AI from a simple reporting tool into a collaborative partner for traffic engineers.
• Enhanced Near-Miss Analysis: An updated algorithm provides deeper insights into why near-misses occur, offering root cause analysis that can help cities address underlying behavioral or infrastructural problems.

This functionality is designed to be a “force multiplier” for under-resourced municipal traffic departments. Instead of sifting through data haystacks, engineers are presented with prioritized problems and potential solutions, allowing them to act more quickly and confidently to mitigate risk.

From Data Points to Safer Streets

The practical applications of this technology extend far beyond theoretical analysis. The new INSIGHT platform includes Automated Incident Detection (AID) capable of identifying real-time hazards like fire, debris on the road, wildlife crossings, and even low-visibility conditions like fog, triggering immediate alerts for operational response.

Furthermore, the system expands its safety insights to include common but dangerous behaviors such as stop sign violations, hard braking events that indicate potential conflict points, and risks in the “dilemma zone” where drivers are forced to decide between stopping abruptly or running a yellow light. This granular level of data provides a much richer understanding of roadway risk than traditional crash statistics alone.

This data-driven approach is already showing value. The City of Detroit has been a long-term partner, using the platform to guide safety improvements. “Detroit has been using Derq INSIGHT for five years to better understand roadway safety risks, monitor safety trends, and guide data-driven improvements in high-risk corridors,” said Tony Geara, Deputy Chief of Mobility Innovation for the City of Detroit. “We are encouraged by this continued innovation in traffic safety technology.”

Derq's technology directly supports the growing number of 'Vision Zero' initiatives adopted by cities worldwide, which hold the ambitious goal of eliminating all traffic fatalities and severe injuries. By identifying and addressing risk before it results in a collision, such AI platforms are becoming a cornerstone of modern urban safety strategy.

Navigating a Crowded and Connected Future

Derq’s announcement arrives as the intelligent transportation systems (ITS) market is experiencing rapid growth and intense competition. The company is positioned against other major players like Miovision, Iteris, and Kapsch, all of whom are integrating AI into their traffic management solutions. The industry is also seeing a trend of collaboration, with traditional infrastructure providers like Umovity (Econolite) partnering with AI specialists to enhance their existing systems.

This innovation is part of a broader technological wave transforming urban mobility. The concept of the 'smart intersection'—where sensors, cameras, and AI work in concert to optimize traffic flow and protect vulnerable road users—is becoming a reality. These systems are not only improving safety today but are also laying the groundwork for a future of connected and autonomous vehicles (CAVs), where vehicle-to-everything (V2X) communication will allow cars and infrastructure to seamlessly coordinate.

The Unseen Observer: Balancing Progress with Privacy

While the potential safety benefits are immense, the deployment of powerful AI surveillance systems across public spaces raises significant ethical and privacy questions. The ability to monitor traffic patterns in minute detail inevitably involves collecting vast amounts of data, leading to concerns about mass surveillance, data security, and the potential for algorithmic bias.

Public acceptance and trust are critical for the successful adoption of these technologies. In response, companies in the sector are increasingly emphasizing their commitment to data protection. Derq, for its part, highlights its SOC 2 Type II compliance, a rigorous, independently audited standard for data security and privacy. The company’s privacy policy states that it employs encryption and strict access controls, and does not sell personal information.

The challenge for cities and technology providers alike will be to navigate this complex terrain by implementing transparent policies, engaging with communities, and ensuring that the quest for safer streets does not come at the expense of civil liberties. Establishing clear ethical frameworks for how data is collected, used, and audited will be as important as the technology itself.

Derq announced that the new capabilities will begin a phased rollout to all customers starting in the second quarter of 2026. As cities begin to deploy this next wave of agentic AI, the industry will be watching closely to see if this technology can truly deliver on its promise of a future with zero fatalities on our roads.