AI-powered community living platform for residential spaces
Ziki builds community experiences for residential developments, combining real estate infrastructure with AI-driven personalization. The tech stack reveals a dual-track operation: a data and ML backbone (Spark, Databricks, PyTorch, TensorFlow, Kafka) alongside 3D visualization tools (Unreal Engine, 3ds Max, AutoCAD), suggesting they're blending resident engagement software with spatial design and property developer integrations. Active adoption of Unreal Engine signals a shift toward immersive community interfaces, while the product and design hiring mix indicates prioritization of resident experience over backend infrastructure scaling.
Notable leadership hires: Creative Director
Ziki operates as a community experiences platform within The Chatterjee Group's residential real estate portfolio. Founded in 2023, the company focuses on making shared living more livable through AI-first technology — personalization engines for resident engagement, marketing automation for occupancy and retention, and digital-physical brand integration across development properties. The team is distributed across India with small product, data, design, and go-to-market functions. Core pain points center on scaling ML models for personalization, unifying brand experience across channels, and reducing friction in the resident journey.
Data and ML layer: Apache Spark, Databricks, Kafka, PyTorch, TensorFlow, Hugging Face, scikit-learn. Visualization and design: Unreal Engine, 3ds Max, AutoCAD, Corona Renderer, V-Ray. Analytics: Mixpanel, Google Analytics 4, Amplitude, Hotjar. Core languages: Python, C++.
AI-powered personalization and lifecycle marketing campaigns; experience centre components for real estate developers; brand ecosystem architecture; automated customer journey deployment; and integration of AI into their real estate platform.
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