Case Study: Maven AGI achieves scalable voice agent testing with Hamming AI

Maven AGI validates 100 concurrent calls with Hamming AI

Maven AGI, an enterprise AI company that builds voice agents for customer service, faced the challenge of scaling its rigorous quality testing. Their homegrown simulation system and manual methods, including having team members place calls for load tests, were insufficient for complex, multi-step workflows, true concurrent call testing, and validating performance in noisy environments. To maintain its high quality bar without diverting engineering resources from its core product, Maven AGI turned to the Hamming AI testing platform.

By implementing Hamming AI, Maven AGI automated its end-to-end testing. The solution enabled them to run hundreds of concurrent test calls on demand, integrate smoke tests into their CI/CD pipeline to catch regressions, and use simulated background noise to validate agent quality. Hamming AI reclaimed an estimated 0.5-1 FTE spent on manual testing and allowed the team to easily fulfill customer requests, such as validating 100 concurrent calls, which was previously impossible.

Maven AGI