Hamming.ai, an innovative platform focused on improving AI voice agent reliability, has raised $3.8 million in a seed funding round.
“Conversational AI is advancing rapidly, but most testing and governance tools haven’t caught up to match developer needs and compliance realities,” said Lauren Farleigh, Co-Founder and General Partner at Mischief. “Hamming.ai will be foundational to ensuring this technology advances safely, as AI reshapes interactions between businesses and their customers.”
Led by Mischief, the round also featured participation from YCombinator, AI Grant, Pioneer, Coalition Operators, and Coughdrop, as well as angel investors, including Hiten Shah, Ran Makavy, Max Kolysh, Richard Aberman, and Kulveer Taggar.
Every day, billions of calls are made globally, with conversational AI playing an increasingly critical role. Analysts, including Forrester, project that AI will soon manage the majority of these interactions. Yet, for businesses developing voice agents, ensuring reliability remains a major challenge. Small changes in prompts or model providers can cause unpredictable shifts in performance, complicating efforts to deliver consistent results.
Current manual testing methods exacerbate the issue. Engineers often spend hours testing AI systems—a process that is not only slow but also prone to oversight.
Hamming.ai offers a transformative alternative. Its platform automates the testing, monitoring, and governance of AI voice agents, eliminating the inefficiencies of manual approaches. By simulating thousands of calls simultaneously, the system uncovers issues that would otherwise remain undetected. The result? A process that is 20 times faster and 10 times cheaper than traditional methods, while offering superior reliability.
Hamming.ai was founded in San Francisco in 2024 by Sumanyu Sharma and Marius Buleandra, two industry veterans with extensive expertise in AI and engineering.
Sharma, the CEO, previously led significant growth initiatives at Citizen, a Founders Fund-backed personal safety network, where he quadrupled the user base. At Tesla, he developed an AI-powered sales program that generated hundreds of millions in annual revenue. His academic contributions include research into AI-powered medical image search at the University of Waterloo.
Buleandra, the CTO, brings a wealth of experience from Anduril, Square, and Microsoft, along with his role as a founding engineer at Spell, a machine-learning observability startup later acquired by Reddit. Together, the co-founders combine technical acumen and industry insight, positioning Hamming.ai as a leader in the AI voice reliability space.
As industries like medicine, law, and real estate increasingly adopt AI, compliance with regulatory frameworks becomes critical. “If 2024 was the year of the prototype, 2025 will be the year of reliability,” Sharma observed.
These sectors operate under strict compliance frameworks that dictate how businesses interact with and protect client information. Automated testing solutions, like those offered by Hamming.ai, will play a pivotal role in ensuring these requirements are met while maintaining operational efficiency.
The platform goes beyond reliability testing, offering governance tools such as LLM prompt management, automated vulnerability detection through red teaming, and real-time performance analytics. These capabilities help businesses deploy AI systems that are not only effective but also aligned with regulatory demands, ultimately building long-term trust with clients and stakeholders.
Hamming.ai is setting a new standard for voice AI reliability. By automating and enhancing the testing process, the company empowers businesses to deploy AI solutions that are both robust and trustworthy.
As conversational AI continues to transform industries, Hamming.ai’s innovations ensure that these systems meet the highest standards of reliability and compliance. With this latest funding, the company is well-positioned to lead the charge in shaping a future where AI is both transformative and dependable.
