Hamming founder and CEO, Sumanyu Sharma
People make billions of calls daily, and AI is rapidly becoming part of that volume. But voice agents are probabilistic systems: STT, LLMs, TTS, and telephony all introduce variability. Small changes to prompts, models, or infrastructure can create subtle regressions like missed intents, unsafe responses, and latency spikes that are hard to catch with manual testing. In regulated environments like healthcare and financial services, those failures can become compliance and trust issues.
When we started Hamming, there wasn't a professional, repeatable way to test voice agents the way software teams test products: with regression suites, coverage across edge cases, and clear pass/fail signals. So we built it and were first to market with a platform dedicated to voice agent QA: automated call simulation plus evaluation for pre-deployment QA, combined with production call analytics and monitoring to detect drift after launch.
Today, Hamming is the category leader in voice agent QA. Our platform helps teams validate agents before launch, continuously monitor quality in production, and measure what matters across the full voice stack, including accuracy, safety, compliance, and latency, so reliability improves with every release.