Case Study: AntVoice achieves scalable, more relevant ad targeting with Google Cloud Platform

AntVoice Speaking to new customers with predictive targeting on Google Cloud

AntVoice, a French technology startup, wanted to solve a common ad-targeting problem: instead of showing users ads for products they’d already browsed or bought, it aimed to use predictive AI to find new customers more likely to be interested in each offer. To support this real-time advertising recommendation engine, AntVoice turned to Google Cloud Platform, using services including Google Kubernetes Engine, BigQuery, Compute Engine, Pub/Sub, and Dataflow.

Google Cloud Platform helped AntVoice build a scalable, low-maintenance infrastructure that could process large data volumes quickly and respond within milliseconds. The results included handling 1 TB of data per day, scaling from 200 to 8,000 requests per second, and quadrupling its client base in 18 months. Google Cloud Platform also reduced infrastructure costs and maintenance, freeing developers to focus on product innovation.

AntVoice

Sergii Salata

Technical Lead