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Evalgent is a voice AI testing and evaluation platform designed to help teams assess how voice agents perform before deployment. It supports structured evaluation workflows that combine scenarios, caller profiles, and metrics to measure whether an agent completes intended tasks, follows instructions, and remains reliable under realistic conversation conditions.
The platform includes scenario-based functional testing, behavioral testing with synthetic caller profiles, and limit testing to identify where performance starts to degrade. It also provides configurable metrics for measuring qualities such as tone consistency, response latency, call duration, interruption handling, and knowledge accuracy. Results are scored across multiple runs so teams can compare outcomes consistently, track regressions, and review evidence from transcripts and evaluation reports.
Evalgent is built for teams that want to validate prompt changes, model updates, and workflow changes in a controlled environment. It focuses on pre-deployment testing, reliability measurement, and production readiness for voice agents rather than post-call analysis alone.
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