Zupee operates a mobile entertainment and gaming platform focused on user engagement and content discovery. The tech stack—Python, PyTorch, TensorFlow, XGBoost, plus engagement platforms CleverTap and MoEngage—reflects a data-driven approach to gameplay and content personalization. Active projects around recommendation engines, embeddings, and A/B testing confirm heavy investment in ML-powered user retention, while hiring remains concentrated in marketing and finance rather than engineering, suggesting operational scaling challenges around monetization and cash flow management.
Zupee is a mobile gaming and entertainment company based in Gurugram, India, operating across gaming, short-form storytelling, and interactive experiences like consumer astrology applications. The platform targets casual mobile users with a focus on engagement-driven features and discovery. The company runs on a polyglot cloud infrastructure (AWS, GCP, Azure) with Kubernetes orchestration and uses Redis and MongoDB for state management. Internally, the organization is tackling user acquisition, ROI improvement, and engagement metrics—core levers for free-to-play monetization.
Zupee uses Python, PyTorch, TensorFlow, and XGBoost for ML; CleverTap and MoEngage for engagement; Kubernetes and AWS EKS for infrastructure; and MongoDB, Redis, and MySQL for data storage.
Current projects include recommendation engines, embeddings, ranking systems, A/B testing infrastructure, short-form storytelling platforms, interactive astrology applications, and free-to-play gameplay engagement features.
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