AI-powered parking and toll automation for smart cities and industrial sites
Stackfusion builds vision-intelligence and IoT systems for automated parking and toll collection across Indian smart cities and industrial infrastructure. The tech stack—Python, TensorFlow, PyTorch, OpenCV, Kafka, PostgreSQL, Kubernetes on AWS—reflects a computer-vision-heavy backend suitable for real-time vehicle recognition and payment processing. Current hiring skews toward sales (3 open roles) and management, paired with pain points around tender delays, lead generation, and pipeline management, suggesting the company is scaling its B2B sales motion into public and commercial procurement channels rather than adding engineering capacity.
Stackfusion develops AI and IoT platforms for vehicle access and payment automation. Its two main products—Parkzap (parking management) and Fastag.ai (toll booth automation)—target smart cities, corporate campuses, special economic zones, industrial facilities, ports, and malls. The platform integrates computer vision for vehicle recognition, contactless payment systems, and human-machine interfaces to automate entry, exit, and toll collection. The company operates from Gurgaon with 11–50 employees and is focused on the Indian market.
Python, TensorFlow, PyTorch, C++, OpenCV, and GStreamer for vision processing; Kafka and MQTT for messaging; PostgreSQL for data; Docker and Kubernetes for orchestration; AWS for cloud infrastructure; React for frontend.
Active projects include tender submission process improvement, social media growth, lead generation, proposal development, pipeline management tool implementation, and sales team expansion—indicating a shift toward scaling sales operations.
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