Hamming AI is a testing and monitoring platform purpose-built for voice and chat agents: it auto-generates test scenarios from an agent’s own prompts, load-tests up to 50,000-plus concurrent calls, replays real production calls for regression testing, and tracks 50-plus built-in metrics spanning latency, hallucination rate, sentiment and compliance. It supports 65-plus languages with regional accents, integrates into CI/CD via REST APIs, and includes security red-teaming and speech-level analysis that goes beyond just checking transcripts.
Testing at genuine load (50K+ concurrent calls) before launch, rather than only functional testing on a handful of scripted calls, is what actually catches the failure modes that matter for a voice agent handling real call volume – latency degradation and reliability issues under load are exactly the class of bug that only shows up at scale. Production call replay for regression testing also means changes get validated against real conversations the agent has actually handled, not just synthetic test scripts.
This is infrastructure-level tooling aimed at engineering and QA teams building production voice/chat agents, not a consumer product – the value is proportional to how much real call volume and compliance risk an organization is actually carrying. Pricing requires a demo request; no self-serve tier is published.
