Sherlock Calls vs. Evalgent

Sherlock Calls is a voice AI observability platform that helps engineering and operations teams diagnose call failures, correlate incidents across multiple telephony and AI speech providers, and conduct root-cause investigations directly from Slack. In production voice AI systems, the evidence behind a failed call is often distributed across multiple independent vendors. Telephony logs may exist in platforms such as Twilio or Genesys, speech synthesis records may reside in tools like ElevenLabs or Vapi, and additional information may appear in webhook payloads or CRM interaction histories.

Evalgent is an AI-powered voice agent evaluation platform designed to test, monitor, and improve conversational AI systems before and after deployment. Key features: - Scenario-based testing to validate end-to-end workflows - User behaviour-based stress testing (interruptions, accents, speech pace, etc.) - Evidence-based evaluations with actionable recommendations - Custom metrics to benchmark agent performance - Human-in-the-loop review for nuanced quality validation How it works? 1. Define: Create real-world scenarios and define clear success criteria 2.