Hamming AI: Revolutionizing AI Voice Agent Testing and Production Call Analytics

In the ever-evolving landscape of artificial intelligence, Hamming AI has emerged as a significant player, particularly in the realm of AI voice agents. With a recent raise of $3.8M in Seed funding, Hamming AI is on a mission to make AI voice agents more reliable.

Introduction

Hamming AI offers a comprehensive suite of tools and services that cater to the various needs of companies dealing with AI voice agents. From automated testing to production call analytics, it provides end-to-end support for ensuring the quality and performance of these agents.

Key Features

Automated AI Voice Agent Testing

Traditionally, teams have spent hours testing their voice agents by hand. Hamming AI changes this with its automated testing feature. It allows users to create thousands of concurrent phone calls to their voice agents using voice characters, making the testing process 1000x more efficient than manual testing. This helps in quickly identifying bugs and issues that might otherwise go unnoticed.

Prompt Management

For B2B teams, managing prompts can be a complex task as each customer may require a slightly different prompt. Hamming AI enables users to store, manage, version, and keep their prompts synced with voice infra providers, ensuring seamless operation across different customer requirements.

Prompt Optimizer & Playground

Writing prompts by hand can be slow and tedious. Hamming AI's prompt optimizer comes to the rescue by automatically generating optimized prompts for LLMs. The prompt playground further allows users to test LLM outputs on a dataset of inputs, with the LLM itself judging the quality of the generated outputs. This saves a significant amount of manual prompt engineering effort.

Production Call Analytics

Going beyond passive monitoring, Hamming AI actively tracks and scores how users are using the AI app in production. It uses LLM judges to flag cases that need attention and easily converts calls and traces into test cases, which can be added to the golden dataset. This provides valuable insights into the performance of the AI voice agents in real-world scenarios.

Use Cases

AI Appointment Scheduling

Hamming AI helps build reliable AI intake agents that can handle scheduling, cancellations, and rescheduling with confidence. It simulates thousands of booking scenarios to test the agent's ability to handle complex calendar conflicts, process cancellations and reschedules, verify appointment details accurately, and manage multiple time zones.

AI Drive-through

Deploying reliable AI voice drive-through agents that can handle complex orders precisely is made possible with Hamming AI. It stress-tests the agent across various scenarios including dietary restrictions and allergies, complex modifications and substitutions, background noise and accent variations, and high-volume rush hour conditions.

AI Customer Support

Launching 24/7 AI voice support agents that consistently deliver high-quality customer service is another area where Hamming AI shines. It validates the agent's ability to resolve common customer issues, handle emotional conversations, escalate appropriately to human agents, and maintain compliance standards.

AI Phone Followups

Ensuring that AI follow-up agents can deliver critical healthcare information accurately and empathetically is crucial. Hamming AI tests the agent's proficiency in areas such as prescription reminders and instructions, appointment confirmation workflows, HIPAA-compliant communication, and emergency escalation protocols.

AI Personal Assistant

Developing versatile AI personal assistants that can manage daily tasks efficiently and reliably is facilitated by Hamming AI. It ensures that the assistant can rebook flights and manage travel itineraries, schedule and organize appointments, handle diverse task requests seamlessly, and adapt to varying user preferences and workflows.

AI Coaching and Tutoring

Creating AI personal coaching agents that can effectively teach and guide students towards their goals is also within the capabilities of Hamming AI. It evaluates the coaching agents by simulating diverse learning scenarios, assessing the clarity and accuracy of explanations, measuring engagement and responsiveness, and ensuring adaptability to individual learning styles.

Pricing

While specific pricing details may vary, Hamming AI offers a range of features and services that are designed to meet the needs of different users and organizations. The value it provides in terms of time savings, improved quality, and enhanced performance of AI voice agents makes it a worthy investment for those looking to optimize their AI voice agent operations.

Comparisons

Compared to traditional methods of testing and managing AI voice agents, Hamming AI stands out for its efficiency and comprehensiveness. Manual testing is not only time-consuming but also prone to errors and overlooking certain issues. Hamming AI's automated testing and analytics capabilities provide a more accurate and detailed understanding of the performance of AI voice agents, enabling faster improvements and better overall results.

Advanced Tips

• Utilize the voice scenarios feature to create diverse testing environments with different accents, background noise levels, and user behaviors to thoroughly test your AI voice agents.
• Keep track of voice experiment tracking to measure improvements in accuracy, latency, and call completion.
• Consider using the score override feature to align AI conversation scores with your quality standards, which also helps train the AI judge to better evaluate voice interactions.

In conclusion, Hamming AI is a powerful tool for companies and teams involved in the development and deployment of AI voice agents. Its array of features, from automated testing to production call analytics, offers a significant advantage in ensuring the reliability and performance of these agents in various real-world applications.