About
Derq is an award-winning intelligent transportation systems company founded in 2016 as an MIT spinoff, on a mission to eliminate road fatalities through AI. Its platform combines proprietary computer vision, machine learning, and sensor fusion to detect, classify, and predict the behavior of all road users—vehicles, cyclists, and pedestrians—with high accuracy across all weather and lighting conditions. The platform offers two core products: **Derq SENSE** provides real-time road user detection and trajectory alerts, enabling agencies to manage traffic flow, reduce congestion, classify road users in challenging conditions, predict intent, and generate V2X (Vehicle-to-Everything) connected vehicle messages. **Derq INSIGHT** delivers traffic safety and performance analytics, identifying root causes of safety events, pinpointing collision hotspots, analyzing automated traffic signal performance measures (ATSPMs), and recommending proactive interventions to reduce congestion and prevent crashes. Derq's hardware-agnostic architecture integrates seamlessly with existing and new infrastructure—video sensors, CCTV, radar, traffic controllers, and V2X technologies—making it scalable and cost-efficient. The platform is SOC 2 Type II certified, ensuring enterprise-grade data security and privacy. It is primarily designed for city transportation agencies, departments of transportation, and smart city programs seeking to move from reactive incident analysis to proactive road safety management.
Key Features
- Real-Time Road User Detection (Derq SENSE): Detects, classifies, and tracks vehicles, cyclists, and pedestrians in real time using computer vision and sensor fusion, even in adverse weather and lighting conditions.
- Traffic Safety Analytics (Derq INSIGHT): Monitors and analyzes safety events, identifies collision hotspots and trends, processes ATSPMs, and provides actionable recommendations to reduce crashes and congestion.
- V2X Connected Vehicle Applications: Generates real-time V2X messages to enable communication between infrastructure and connected vehicles, supporting next-generation smart mobility use cases.
- Hardware-Agnostic Integration: Compatible with a wide range of existing sensors (video, CCTV, radar) and traffic controllers, enabling cost-effective deployment without full infrastructure replacement.
- Proactive Decision Support: The Derq INSIGHT 2026 release enables agencies to shift from reactive incident review to proactive, AI-driven safety and traffic management decisions.
Use Cases
- City transportation agencies using AI to identify high-risk intersections and proactively reduce collision rates.
- Departments of transportation analyzing automated traffic signal performance measures (ATSPMs) to improve signal timing and reduce congestion.
- Smart city programs deploying V2X infrastructure to enable real-time communication between road infrastructure and connected vehicles.
- Traffic management centers monitoring real-time road user behavior to detect incidents and dispatch rapid response.
- Transportation planners using post-event safety analytics to prioritize infrastructure investments and safety interventions.
Pros
- Proven, Patented Technology: Backed by 20 patents and an MIT research heritage, Derq's AI platform has demonstrated real-world impact across North America and the GCC.
- Hardware-Agnostic and Scalable: Integrates with existing infrastructure, reducing deployment costs and complexity for cities and transportation agencies of all sizes.
- Enterprise-Grade Security: SOC 2 Type II compliance ensures high standards of data security and privacy, making it suitable for government and public agency deployments.
- End-to-End ITS Platform: Covers the full spectrum from real-time detection and alerting to post-event analytics and proactive safety recommendations in a single platform.
Cons
- Enterprise Pricing Only: Derq is a B2G/B2B enterprise product with no self-serve or transparent pricing, making it inaccessible to smaller organizations or individual researchers.
- Niche Market Focus: Designed specifically for transportation agencies and smart city programs, limiting its applicability outside the public infrastructure and mobility sector.
- Requires Demo/Sales Engagement: Prospective customers must schedule a demo and go through a sales process, with no free trial or instant onboarding available.
Frequently Asked Questions
Derq is an AI-powered intelligent transportation system designed for city transportation agencies, departments of transportation, and smart city programs. It helps reduce road fatalities and optimize traffic flow using computer vision, machine learning, and sensor fusion.
Derq SENSE provides real-time detection, classification, and trajectory prediction of road users, along with V2X connected vehicle messaging. Derq INSIGHT delivers post-event safety analytics, hotspot identification, ATSPM analysis, and proactive safety recommendations.
Yes. Derq's platform is hardware-agnostic and integrates with a wide range of existing sensors including video cameras, CCTV, radar, and traffic controllers, as well as newly deployed infrastructure.
Derq is SOC 2 Type II compliant, meeting rigorous standards for data security, privacy, and operational excellence required for government and public sector deployments.
Derq's technology is live across the United States, Canada, and the Gulf Cooperation Council (GCC) region, supporting multiple city and transportation agency deployments.
