Hamming AI was founded in 2024 by Sumanyu Sharma and Marius Buleandra to solve one of the hardest problems in the voice-agent boom: reliability. As companies rush to deploy AI phone agents for support, scheduling, and sales, the testing tooling has lagged far behind. A single prompt change can silently break a flow, hallucinate a policy, or introduce latency that makes a call feel robotic — and most teams only discover this after customers complain. Hamming attacks this gap with automated, large-scale call simulation.
The core of the platform is a fleet of AI-driven test personas that can place thousands of phone calls to a target voice agent simultaneously. Each simulated caller follows a scenario, probes edge cases, and the system scores transcripts against expected behavior, detecting regressions, prompt injection vulnerabilities, broken tool calls, and degraded latency. This compresses what used to take a QA team days into a single automated run that can be wired into CI/CD.
Beyond pre-launch testing, Hamming provides production monitoring and governance so teams can track live call quality, flag drift, and maintain an audit trail of agent behavior over time. This matters acutely in regulated verticals like healthcare, financial services, and insurance, where a misbehaving voice agent is not just a UX problem but a compliance risk.
The company is backed by a $3.8M seed round led by Mischief, the venture firm from Plaid co-founder William Hockey, with participation from Y Combinator, AI Grant, Pioneer, and angels including Hiten Shah and Kulveer Taggar. Hamming positions itself as essential infrastructure for any team treating voice agents as a serious production system rather than a demo.