Case Study: Callers scales omnichannel AI conversations with Google Cloud

Callers scales 30X and cuts latency 30% with Apigee

Callers, an AI communication platform, faced challenges scaling its autonomous voice and text agents across multiple cloud environments. Issues with response latency, quota visibility, and coordinating systems across providers were impacting engineering velocity and customer experience. To address this, the company partnered with vendor Apigee and migrated its infrastructure to Google Cloud, adopting Google Kubernetes Engine (GKE) and Gemini.

The solution implemented by Apigee involved unifying all of Callers' infrastructure on Google Cloud. By leveraging Gemini and Vertex AI, Callers developed a single AI "brain" that retains full customer context across all channels. This resulted in a 30X increase in capacity, allowing the platform to handle hundreds of thousands of daily conversations. The vendor's solution also reduced latency by 30%, boosted conversion rates by 50%, and reduced outbound call campaign costs by up to 80% for Callers' clients.

Callers