Case Study: syte accelerates real estate optimization with Google Cloud Platform

syte Helping to bring new housing to market with the speed of AI

syte, a German property tech startup, needed a scalable way to power its AI platform for real estate development, as its search engine had to handle large spatial queries and vast property data in a market facing a major housing shortage. The company turned to Google Cloud Platform, using services like BigQuery and Google Kubernetes Engine to support data processing, machine learning, and web application infrastructure.

With Google Cloud Platform, syte cut search response times from 60 seconds to 1–2 seconds, processed core data in a week instead of a year, and improved productivity in deploying web applications by about 40%. Google Cloud Platform also helped syte scale its LiDAR processing to 600 virtual machines and accelerate product development, enabling the startup to launch features faster and operate more efficiently.

syte

David Nellessen

Co-Founder and CTO