TestMu AI

TestMu AI

TestMu AI, formerly LambdaTest, is a San Francisco software testing company founded in 2017, and voice agent testing is part of its AI agent testing suite. It runs autonomous evaluators against audio chatbots, inbound phone agents and outbound dialers, using 200+ voice profiles and 15 noise presets. Each evaluation ends with a Green, Yellow or Red go-live verdict.

Key Features

• Conversation scoring: Scores audio conversations on 9 quality metrics, including hallucination, bias, completeness and context awareness, with 0-100% pass/fail thresholds.
• Telephony metrics: Measures inbound and outbound calls on 30+ metrics such as latency, intent recognition, containment rate and speech-to-text accuracy.
• Voice and noise simulation: 200+ voice profiles covering 50+ accents and dialects, 15 background-noise presets and masked numbers in 20+ country codes.
• Production recording analysis: Batch-uploads MP3/WAV recordings for speaker-identified playback, DTMF detection and scoring with the same metrics.
• Scenarios and scheduling: Generates test scenarios from PDFs, Confluence, Jira or GitHub, and schedules runs with presets or cron expressions.

Use Cases

• Pre-launch QA: Simulate inbound and outbound customer calls before a voice agent goes live.
• Outbound call monitoring: Listen to live outbound calls in passive mode without interrupting the agent or the caller.
• Regression checks: Re-run scheduled test calls to catch latency, interruption and looping issues automatically.

Getting Started

Teams can start for free or book a demo on the TestMu AI voice agent testing page at https://www.testmuai.com/voice-agent-testing/.