Announcing Our $3.8M Seed Round to Make Voice AI More Reliable

We're thrilled to announce that we've raised $3.8 million in seed funding led by Mischief, with participation from YCombinator, AI Grant, Pioneer, Coalition Operators, Coughdrop, NEA, Humans Ventures, Twenty Two Ventures, Orange Collective, Transpose Capital, Olive Tree Capital, and incredible angels including Hiten Shah, Ran Makavy, Max Kolysh, Richard Aberman, Kulveer Taggar, Walter Chen, Yossi Eliyahu, Wiktor Makura, Mark Wai, Victor Zhang, Michael Kuznetsov, Kiran Lingam, Joshua Goodfield, Jake Peters, Umesh Khanna, Carl Cortright, Rahim Noorani, Benjamin Bryant, Lawrence Lin Murata, Noah Gale, Raymond Chen, Kerry Wang, Xiao Wei, Michael Babineau, Sisun Lee, Tony Dong, Jake Lynch, Michael Stoppelman, Tianwei Yue, Rob Olsthoorn, Hexi Shaw, Eric Pollmann, Felicia Chen, Eva Zhang, Eduardo Ortiz de Lanzagorta, Nicholas Elledge, and Theodor Marcu.

Why Now?

People make billions of calls every day. As conversational AI advances, analysts predict that AI will handle the majority of these calls, with thousands of companies building solutions across every vertical. However, making these AI voice agents reliable remains a significant challenge. Small changes in prompts or model providers can cause large variations in voice agent responses. Engineers currently spend hours manually testing their agents—a slow, ad hoc, and often inadequate process.

Even after deployment, operations teams listen to thousands of calls daily to discover edge cases missed during manual testing. This makes voice AI systems not only costly to set up but also potential sources of liability due to insufficient testing infrastructure.

Our Solution

At Hamming, we're automating the testing, monitoring, and governance for AI voice agents. We've developed AI voice agents that act like real people, capable of placing thousands of simultaneous test calls to client voice agents. Our solution includes:

• LLM prompt management solutions for B2B teams
• Automated AI voice agent red-teaming for vulnerability detection
• Call analytics to track user engagement in production
• Intelligent flagging system for cases needing attention

Looking Forward

If 2024 was the year of the prototype, 2025 will be the year of reliability. Industries like medicine, law, insurance, and real estate operate under strict compliance frameworks governing business-client interactions. As regulations evolve to address AI realities, automated testing will become fundamental to every long-term, trust-focused AI strategy.

As Lauren Farleigh, Co-Founder and GP at Mischief, notes: "Conversational AI is advancing rapidly—but most testing and governance tools haven't caught up to match developer needs and compliance realities. Hamming.ai will be foundational to ensuring this technology advances safely, as AI reshapes interactions between businesses and their customers."

About the Founders

We come from backgrounds in trust and safety infrastructure. Marius and I met at Citizen, the Founders Fund-backed personal safety network, in 2019. I helped quadruple Citizen's user base as Head of Data and previously grew an AI-powered sales program at Tesla to hundreds of millions in revenue per year. Marius brings extensive experience in data infrastructure and AI from Anduril, Square, and Microsoft, and was a founding engineer at Spell (acquired by Reddit).

We're excited to use this funding to expand our team and accelerate our mission of making voice AI more reliable and trustworthy. If you're interested in joining us on this journey or learning more about our platform, reach out to us at [email protected].