AI voice agents are quickly becoming the mainstream way for enterprises to communicate with customers, but their reliability issues are becoming increasingly prominent. Traditional testing methods are inefficient and costly and cannot meet the growing demand. To this end, Hamming.ai came into being, which is committed to providing automated testing and management solutions for AI voice agents to ensure their reliability and security.
With the rapid development of conversational AI technology, AI voice agents are gradually taking over more and more phone communications. However, how to ensure the reliability of these AI voice agents has become a major challenge facing the industry. Recently, Hamming.ai, a platform focusing on the reliability of AI voice agents, announced the completion of a US$3.8 million seed round of financing, led by Mischief, with participation from institutions such as Y Combinator, AI Grant, and multiple angel investors.
The emergence of Hamming.ai is precisely to solve the current pain points in AI voice agent testing and management. It is understood that billions of phone calls are made every day, and with the advancement of AI, most of the calls will eventually be handled by AI. However, even small cues or changes to the model provider can cause dramatic changes in the AI voice agent's responses. Currently, engineers spend a lot of time every day manually testing their AI voice agents, which is not only inefficient but often not comprehensive enough. Even after the AI voice agent goes live, operations teams still need to listen to thousands of calls to find edge cases missed by manual testing. These issues not only make the setup of AI voice systems expensive, but may also lead to liability issues and negative publicity due to insufficient testing infrastructure.
Hamming.ai effectively solves these problems by automating testing, monitoring and management of AI voice agents. The company deployed self-developed AI voice agents, which looked like real people and could make thousands of calls at the same time to test customers' AI voice agents. In addition, Hamming.ai also provides B2B teams with LLM prompt management solutions, automated AI voice agent red team testing (used to detect vulnerabilities), and call analysis solutions to track user interactions with AI voice agents and flag needs Cases of concern. Hamming.ai's method is said to be 20 times faster and 10 times less expensive than manual testing. The company plans to continue to enhance these advantages through further product development and refinement.
Hamming.ai co-founder and CEO Sumanyu Sharma and co-founder and CTO Marius Buleandra met at Citizen, a personal security networking company backed by Founders Fund. They all have extensive experience building trust and security infrastructure at Citizen. Sharma served as Citizen's head of data and helped triple the company's user base. Prior to that, he was responsible for an AI-driven sales project at Tesla, boosting its annual revenue to hundreds of millions of dollars. Buleandra has accumulated rich experience in data infrastructure, AI and complex systems engineering in companies such as Anduril, Square and Microsoft. He was also a founding engineer at machine learning observability and infrastructure startup Spell, which was later acquired by Reddit.
Lauren Farleigh, co-founder and general partner at Mischief, said: “Conversational AI is evolving rapidly, but most testing and management tools have not yet caught up with developer needs and compliance requirements. Hamming.ai will be a key player in ensuring this technology is safe A cornerstone of development as AI is reshaping the interactions between businesses and their customers.”
Hamming.ai believes that if 2024 was the year of prototypes, then 2025 will be the year of reliability. Industries such as healthcare, legal, insurance and real estate are all subject to compliance frameworks that govern how businesses interact with customers and share information. As these regulations adapt to the realities of AI, automated testing will become a cornerstone of every long-term and trust-focused AI strategy.
The successful financing of Hamming.ai marks that the AI voice agent reliability testing and management market is receiving more and more attention. Its automation solutions are expected to significantly improve efficiency, reduce costs, and improve the security of AI voice agents, injecting new vitality into the development of the industry.