Hamming
About Hamming
Hamming is an innovative platform designed for teams developing AI voice agents. By providing automated testing against thousands of simulated users, it enhances accuracy and efficiency, ensuring reliable performance. Users benefit from prompt optimization, continuous monitoring, and collaboration tools that streamline the testing process.
Hamming offers flexible pricing plans catering to various team needs, with options for SaaS or on-premise deployments. Each tier delivers unique value, from essential testing features to advanced analytics, supporting users in achieving faster iterations and improved voice agent functionality. Discounts may apply for annual subscriptions.
The user interface of Hamming is designed for seamless navigation, with an intuitive layout that facilitates the testing process. Key features such as scenario creation and experiment tracking are easily accessible, ensuring a user-friendly experience that allows for effective collaboration and efficient performance evaluations.
How Hamming works
Users interact with Hamming by signing up and onboarding through a guided setup process. They can then create tests, define voice agent parameters, and utilize the platform’s unique features such as prompt optimization and scenario simulation. Hamming makes it easy to monitor performance and make data-driven decisions.
Key Features for Hamming
Automated Voice Testing
Hamming's automated voice testing enables teams to efficiently run thousands of tests simultaneously, allowing quick identification of performance issues. This unique capability significantly reduces manual testing time while ensuring your AI voice agents perform reliably in real-world scenarios.
Prompt Optimization
The prompt optimization feature of Hamming simplifies the process of creating effective conversational inputs for AI agents. Users can generate optimized prompts quickly, reducing manual effort by 80%, allowing for enhanced accuracy and responsiveness in AI voice interactions.
Active Monitoring
Hamming’s active monitoring feature continuously tracks usage patterns and performance metrics of AI voice agents. This functionality proactively identifies areas needing improvement, ensuring that users can maintain high-quality standards in their voice applications and better serve their customers.
