Voice AI testing and monitoring
Hamming AI
Hamming AI builds testing and monitoring tools for AI voice agents. Its company materials describe simulated conversations covering accents, background noise, interruptions, and unusual requests, alongside production monitoring that flags failures and recurring conversation patterns. The company frames these capabilities as a way to replace labor-intensive manual checks with repeatable reliability workflows.
In a December 2024 announcement, Hamming AI reported raising $3.8 million in seed funding led by Mischief. A June 2025 company announcement described a Cisco partnership bringing testing and monitoring to Webex AI Agent customers. These announcements provide dated company context; the supplied evidence does not independently confirm the funding or partnership’s current scope.
Hamming AI’s credited AI Engineer recording features Sumanyu Sharma discussing the consequences of unreliable voice agents, including a booking an agent claimed to complete that never reached the appointment schedule. His proposed approach treats reliability as ongoing work: identify failures, assess their frequency and severity, make changes, check for regressions, and continue monitoring. The talk connects individual call review with finding patterns across conversations.
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