AI video analytics for parking, traffic, and security operations
Asura Technologies builds computer-vision systems for parking management, traffic enforcement, and surveillance using license-plate recognition (LPR) and vehicle analytics. The tech stack (Python, .NET, Kubernetes, Kafka, LangChain, LangGraph) and active projects signal a sharp pivot toward AI: the roadmap explicitly lists LLM deployment, real-time computer-vision scaling, and an AI-driven backlog. Engineering-heavy hiring (8 of 10 tracked roles) with senior/manager concentration suggests they're building internal platform capacity rather than sales-led expansion.
Asura Technologies is a Budapest-based video analytics company founded in 2017, operating across parking management, traffic enforcement, and security surveillance verticals. The core product uses camera-agnostic license-plate recognition and make/model vehicle identification, integrated into on-premise and cloud deployments. They maintain a U.S. joint venture (with Parking Revenue Recovery Services in Denver) for automated parking compliance and operate across GCC, European, and Asian markets. The organization runs 51–200 employees with active development concentrated in Hungary.
Python, .NET, Kubernetes, Docker, PostgreSQL, Kafka, RabbitMQ, AWS/Azure/GCP, Angular, LangChain, LangGraph, LangFlow. CI/CD: GitHub Actions, Jenkins, ArgoCD.
North American parking management application, LLM deployment at scale, real-time computer-vision inference, AI platform architecture, and standardized CI/CD pipelines across engineering teams.
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