Our rigorous and documented reality capture process originates Pupil’s own volumetric and image-based spatial datasets. The complete chain of custody of all of our spatial data delivers value across the property transaction lifecycle and beyond.
Once in the cloud, our raw data is processed by proprietary computer vision algorithms to create millimetre-accurate 3D digital reconstructions of those real-world spaces. This enables us to quickly process and deliver our rich datasets.
This uniquely positions us to leverage the latest advances in machine learning for 3D datasets, including deep learning. Our Pupil Vision scene understanding system allows us to automatically see and learn the most important things about a space.
We support smart cities by enabling portfolio assessment and remote diligence of verified datasets for safety, security, and energy performance.
Our predictive data analytics and energy profiling enable insights for consumers in home security, safety and energy efficiency and use.
Our rigorous professional processes, data architecture and oversight means our assets are securely tagged, processed and traceable.