Hamming.ai, the AI voice agent reliability platform, introduced that it has raised $3.8 million in seed funding led by Mischief, with participation from YCombinator, AI Grant, Pioneer, Coalition Operators, Coughdrop and angels together with Hiten Shah, Ran Makavy, Max Kolysh, Richard Aberman and Kulveer Taggar.
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“Conversational AI is advancing quickly —however most testing and governance instruments haven’t caught as much as match developer wants and compliance realities”
“Conversational AI is advancing quickly —however most testing and governance instruments haven’t caught as much as match developer wants and compliance realities,” mentioned Lauren Farleigh, Co-Founder and GP at Mischief. “Hamming.ai might be foundational to making sure this expertise advances safely, as AI reshapes interactions between companies and their clients.”
Folks make billions of calls a day. As conversational AI advances, analysts like Forrester predict that almost all of calls might be dealt with by AI, constructed by 1000’s of firms tackling each single vertical. But making AI voice brokers dependable is difficult. A small change in prompts or mannequin suppliers could cause giant modifications in voice agent responses. Engineers spend hours a day testing their brokers by hand — a gradual, advert hoc, and infrequently insufficient course of. Even when these voice brokers are launched to manufacturing, operations groups then take heed to 1000s of calls per day to find edge circumstances with their voice brokers that had been missed by their guide testing strategies. This makes such voice AI methods expensive to arrange and, attributable to poor testing infrastructure, potential sources of legal responsibility and hostile public consideration.
Based in 2024, Hamming automates the testing, monitoring, and governance for AI voice brokers. Deploying its personal AI voice brokers that act like actual individuals, Hamming.ai can place 1000’s of telephone calls to shopper voice brokers concurrently. Hamming.ai additionally offers LLM immediate administration options for B2B groups; automated AI voice agent red-teaming to detect vulnerabilities and name analytics options to trace how customers are participating with AI voice brokers in manufacturing and to flag circumstances in want of consideration. Hamming.ai’s method is 20 occasions quicker and 10 occasions cheaper than having people check AI voice brokers manually; it goals to additional enhance these margins by its extra product growth and refinement.
Co-founders Sumanyu Sharma and Marius Buleandra come to Hamming.ai with expertise constructing belief and security infrastructure at Citizen, the Founders Fund-backed private security community, the place they met in 2019. Sharma helped quadruple Citizen’s person base as its Head of Information. Previous to Citizen, he grew an AI-powered gross sales program at Tesla to 100s of thousands and thousands in income per yr as a Senior Workers Information Scientist, and researched AI-powered medical picture search on the College of Waterloo, Canada. He serves as Hamming’s CEO. Along with his time at Citizen, Buleandra involves Hamming.ai with expertise in information infrastructure, AI, and complicated methods engineering at Anduril, Sq., and Microsoft, and was a founding engineer at Spell, a machine-learning observability and infrastructure startup acquired by Reddit. He serves as Hamming.ai’s CTO.
“If 2024 was the yr of the prototype, 2025 would be the yr of reliability,” Sharma mentioned. “Industries like drugs, legislation, insurance coverage, and actual property are ruled by compliance frameworks that govern how companies work together and share data with their shoppers. As these rules catch as much as the realities of AI, automated testing might be a cornerstone to each long-term and trust-focused AI technique.”
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