
Prevent traffic accidents and optimize urban flow with a predictive AI platform that integrates with your existing infrastructure.
Leverage real-time analytics and V2X messaging to create safer, more efficient roads for all users.
Zekai Verdict
- What is it?
- Derq provides an AI-powered intelligent transportation system for cities to improve road safety and optimize traffic flow.
- Best for
- Best for city and state transportation agencies seeking to proactively reduce collisions and improve traffic efficiency…
- Not ideal for
- Pricing is not public, requiring a demo and custom quote.
- Price
- Pricing on request
- Zekai Score
- 7.8/10
For government and smart city professionals, Derq is a leading AI solution for enhancing road safety and traffic efficiency. It excels by integrating with a city's existing infrastructure—like cameras and signals—to provide real-time predictive analytics on road user behavior. This allows transportation agencies to move from reactive analysis to proactively preventing collisions, as demonstrated in major deployments across the U.S. and Canada.
Your workflow, automated
Before & After
Relying on historical crash data and manual observation to identify dangerous intersections.
Reactive safety measuresProactively detecting near-misses and predicting collisions in real-time to prevent them.
Predictive safety alertsTry it with these prompts
Copy any prompt and paste it directly into the tool.
Analyze traffic safety data to identify hotspots and trends. Pinpoint the root cause of safety events and recommend actions to reduce congestion and prevent collisions. Focus on the Derq INSIGHT 2026 release for proactiv…
Detect, track, classify, and predict road user behavior in real-time. Use Derq SENSE to alert on trajectories, predict intent, and generate V2X messages for improved traffic control and vehicle safety.
Leverage Derq's hardware-agnostic platform to integrate with existing infrastructure like video sensors and traffic signals. Utilize proprietary computer vision and machine learning for accurate detection and classificat…
Prompts for Government
Trusted by professionals
Derq integrations
Is Derq worth it?
Why Government & Smart Cities choose this tool
Key Use Cases
Derq offers a powerful, hardware-agnostic platform for turning existing traffic infrastructure into a proactive safety network. Its real-time predictive analytics are a significant step up from traditional reactive analysis. However, the reliance on existing sensor quality and the bespoke nature of deployment mean initial setup will require significant planning and investment.
Frequently asked questions
Where is Derq available?
Is Derq suitable for small municipalities?
Does Derq require proprietary hardware?
How does Derq handle data privacy and security?
What are the main products offered by Derq?
Can Derq integrate with third-party systems?
Last reviewed:
Derq pricing and plans
Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.
Top 10 AI tools in this category
Take it with you
- How AI turns existing cameras into proactive safety tools.
- Understanding the difference between reactive and predictive analytics.
- Key metrics to track: near-misses, pedestrian compliance, and conflict hotspots.
- The role of V2X in a modern smart city safety strategy.
- Checklist: Is Your Infrastructure Ready for AI?
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About Derq
Full Description
Derq provides an AI-powered intelligent transportation system for cities to improve road safety and optimize traffic flow. By integrating with existing infrastructure like cameras and traffic signals, the platform uses patented AI to detect, track, and predict road user behavior in real time, helping to eliminate road fatalities and advance smart city initiatives.
Editorial Verdict
Derq offers a powerful, hardware-agnostic platform for turning existing traffic infrastructure into a proactive safety network. Its real-time predictive analytics are a significant step up from traditional reactive analysis. However, the reliance on existing sensor quality and the bespoke nature of deployment mean initial setup will require significant planning and investment.
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