Case Study: SeMI Technologies achieves scalable cloud-native vector search with Google Cloud Platform

SeMI Technologies optimizing business data searches with machine learning on Google Cloud

SeMI Technologies, a Netherlands-based software company behind the open-source vector search engine Weaviate, needed a way to build and scale its AI-first database on a limited startup budget. It turned to Google Cloud Platform and the Google for Startups Cloud Program to get started, using Google Cloud credits to launch its cloud-native business and support its early growth.

Google Cloud Platform provided the core infrastructure for Weaviate through Google Kubernetes Engine, Google Compute Engine, and Google Workspace, helping SeMI Technologies deploy, scale, and collaborate more efficiently across time zones. The result was faster development, easier GPU-based machine learning workloads, and stronger startup momentum; the company said the credits helped it prove its value to investors and supported its path to a $16 million Series A funding round.

SeMI Technologies

Bob van Luijt

Chief Executive Officer