Supersight

AI is moving beyond screens and into the physical world. The next generation of intelligent systems will not only generate content, but also perceive environments, understand physical spaces, coordinate distributed devices, and eventually operate autonomously in real-world settings. Supersight is building the infrastructure layer for this transition. We develop edge-native AI systems that operate directly where data is created, without centralised cloud dependency, surveillance architectures, or resource-intensive hardware deployments. Our technology enables distributed embodied intelligence using existing devices such as smartphones transformed into intelligent edge AI sensors. This creates a fundamentally different approach to deploying AI in the built environment: • fully on-device inference • no image storage or transmission • privacy-preserving operation by design • low energy consumption • rapid deployment without heavy infrastructure • scalable real-world intelligence at the edge Supersight began by solving a difficult practical problem: how to understand how physical spaces are used accurately without compromising privacy. Today, our technology is used across cities, universities, transportation systems, offices, retail environments, public spaces, and enterprises to measure occupancy, optimise operations, improve sustainability, and enable intelligent environments. Our long-term vision extends beyond occupancy analytics toward a broader edge AI infrastructure platform for intelligent buildings, adaptive public infrastructure, industrial environments, and future autonomous physical systems. We believe the future of AI infrastructure must be: • privacy-first • edge-native • sustainable • distributed • human-centric By combining edge AI, computer vision, and sustainable deployment models based on repurposed devices, Supersight is helping build the next generation of real-world intelligence infrastructure.