Case Study: OpenCall achieves 90% lower latency and faster, more reliable AI contact center calls with Cerebras

OpenCall cuts latency by 90% with Cerebras

OpenCall, a provider of enterprise-grade AI contact centers, faced the challenge of ensuring real-time processing for its complex AI workflows. Their system required making numerous rapid calls to an LLM inference endpoint to manage conversations, and any latency or unreliability would create an inconsistent and frustrating experience for callers. To achieve the speed and reliability needed for their real-time architecture, they turned to Cerebras's LLM inference API.

By implementing Cerebras's solution, OpenCall achieved a staggering 90% reduction in overall latency. This enabled them to run extensive, granular validation chains without users noticing, transforming processes that once took minutes into ones that are completed in seconds. This dramatic improvement in performance and reliability contributed to a 20% increase in customer satisfaction scores, solidifying Cerebras's role in enhancing OpenCall's service.

OpenCall