AI video analytics and event management for racquet sports
Stupa Sports builds AI-powered video analysis, live streaming, and event management tools for table tennis, badminton, padel, and pickleball federations and broadcasters. The tech stack (PyTorch, TensorFlow, transformers, FastAPI, Kubernetes) reveals a heavy investment in real-time ML inference and API-driven architecture. Current projects—automated commentary, real-time subtitles, end-to-end streaming pipelines—signal a shift from static analytics toward live-augmented viewing experiences. Hiring mix (engineering-dominant, including a Frontend Tech Lead) combined with pain points around multi-tenant SaaS scaling and zero-downtime deployment suggests the company is hardening a platform product after building feature-rich point solutions.
Notable leadership hires: Frontend Tech Lead
Stupa Sports develops AI-enabled video analysis, live streaming, and event management systems for national sports federations, broadcasters, and betting operators in racquet sports (table tennis, badminton, padel, pickleball). The company operates across three primary areas: digitized event management for federations, real-time performance analytics for athletes, and OTT/streaming infrastructure for media and betting. Founded in 2019 and based in New Delhi with 51–200 employees, Stupa is expanding into Australia while managing infrastructure challenges around multi-tenant SaaS reliability and compliance (SOC2, ISO 27001).
PyTorch, TensorFlow, transformers (for NLP), ONNX for model optimization, and TensorRT for inference acceleration. These are deployed via FastAPI and Kubernetes for real-time video processing at scale.
Headquarters in New Delhi, India. Currently hiring across India and Australia, signaling geographic expansion beyond the home market.
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