Spotscale helps real estate owners assess their buildings´ condition through photorealistic 3D. Using imagery captured with drones as input for advanced computer vision and machine learning, Spotscale's software enables building owners a fast and safe way to inspect, measure and analyze their properties. This gives a better understanding of the renovation needs and hidden heat leakages through automated tools, pointing at enormous cost-saving potentials.
Lately, Spotscale has seen a fast-growing demand from its customers in real estate, facility management and energy, now entering larger partnership deals.
The scalable cloud software platform is processing billions of pixels of building imagery monthly, growing a vast database of machine learning input. Utilizing state of the art algorithms for computer vision and machine learning, Spotscale is able to detect and quantity building parts to generate digital twins.
The methodology in four steps
About the company
Spotscale was founded by Ludvig Emgård in 2013. He has gathered a group of passionate and highly skilled engineers to create the solution we see today. Moving forward, the team continues to evolve around the 3D-model and keeps stretching the possibilities of AR/VR, computer vision and AI for in the proptech domain.