Hamming AI provides an automated testing platform for AI voice agents that accelerates testing speeds by up to 100 times compared to traditional manual methods. The platform creates diverse AI-generated personas to simulate real-world conversations, enabling thorough quality assurance of voice agents by running hundreds of simultaneous tests. Through deterministic checks and LLM judges, the system evaluates various aspects of voice agent performance including accuracy, tone, and responsiveness, while providing detailed analytics for targeted improvements. The platform's technology integrates with existing systems and offers continuous monitoring and scoring of AI voice agents in production environments, tracking key quality metrics in real time.
The system is particularly valuable for applications in industries such as fast food drive-throughs, where order accuracy and reliable handling of customer requests are crucial. In one implementation, the platform helped improve order accuracy for a customer developing an LLM-powered drive-through voice agent by testing it with various personas, including those with specific dietary restrictions.
The platform extends beyond testing to include production environment capabilities, where it actively tags calls in real-time and flags cases requiring attention. When issues are identified in production, users can create new test characters from call transcripts with a single click to address specific problems.
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