AI and computer vision platform for video surveillance and edge analytics
Futops builds AI-powered video analytics and edge intelligence systems using Python, TensorFlow, and OpenVINO, with active migrations to containerized platforms (OpenShift, Kubernetes) and cloud (AWS, Azure). The company is mid-stage in modernizing legacy applications and scaling ML workloads onto GPU infrastructure—pain points that align with their current project focus on traffic monitoring systems (ANPR, speed/red-light detection) and distributed AI inference at the edge.
Futops develops software for video surveillance, traffic analytics, and edge AI applications, serving enterprise and government customers with a focus on Japanese technology partners. The product surface spans real-time computer vision (ANPR, object detection via CCTV feeds), ML inference on edge devices, and a video conferencing/messaging platform (FuCon). The tech stack—TensorFlow, Spark, Kafka, Docker, Kubernetes—reflects a systems-heavy approach to handling high-volume media streams and unstructured data. The company is headquartered in Pune and operates as a boutique consultancy and product shop with 11–50 employees.
Python, TensorFlow, scikit-learn, OpenVINO, Kafka, Docker, Kubernetes, AWS, Azure, Spark, Elasticsearch, and CCTV/ANPR/ONVIF protocols for video ingestion and inference.
Video surveillance analytics, traffic monitoring (ANPR, speed/red-light violation detection), edge AI infrastructure, ML workload containerization, and application migration to OpenShift and AWS ROSA.
Pune, Maharashtra, India. Hiring is currently limited to India, with active roles in engineering and sales.
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