Case Study: Kadaxis achieves increased book sales and 10% lower hosting costs with Google Cloud Platform

Kadaxis Making publishing more profitable by matching readers to books

Kadaxis is a New York–based data science company that improves book discovery by analyzing reviews, social discussions, and other consumer signals to generate audience-driven keywords. The company faced a challenge scaling compute and network capacity to run data‑intensive machine learning across thousands of titles while keeping costs low and delivering results that match how real readers search.

Kadaxis consolidated onto Google Cloud Platform—using Google Compute Engine, G Suite, and Google’s ML APIs—for scalable VMs, faster networking, and per‑second billing. The move let them handle publishers’ catalogs of up to 20,000 titles, improve network performance by about 20%, reduce hosting costs by 10%, and deliver keyword optimizations that increase retail search visibility and boost book sales.

Kadaxis

Chris Sim

Founder and CEO