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Derq deploys computer-vision and ML infrastructure (Python, AWS/GCP/Azure, SQL) to detect and classify traffic patterns in real time. The company is scaling rapidly across sales (14 open roles) and engineering (12), with hiring accelerating across seven countries—a distribution-led growth pattern evident in their active projects around partner networks, RFP processes, and multi-site hardware deployments. Core pain points center on deployment speed and government-agency penetration, suggesting friction between product readiness and go-to-market execution in the public-sector ITS market.
Tech Stack 18 technologies
What Derq Is Building
◆Challenges
- Reducing incidents
- Expanding revenue in government agencies
- Speed up deployments
- Maintain uptime
- Penetrating government agencies
- Improving deployment speed
- Ensuring reliability of ai products
- Minimizing downtime
- Managing distribution partners
- Budgeting and forecasting support
▲Active Projects
- Deploy software on new hardware and sites
- Strategic sales plan
- Software releases and updates
- Adaptive traffic signal optimization implementation
- Pilot deployments of its solutions
- Live implementation of edge devices
- Deployment of sensor integration
- Rfp response process
- Distribution channel management
- Distribution partner network expansion
Hiring Activity
30 roles · 25 in 30d
Department
Seniority
Company intelligence
