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Description

Evalgent serves as a platform dedicated to the testing and evaluation of AI voice agents. The common reasons for failures in production are not due to inadequate technology but stem from the fact that demonstrations typically utilize pristine audio and compliant users, which is not reflective of actual user interactions. By identifying potential failures before they can impact production, Evalgent reduces the time needed for iterations and accelerates the path to revenue for voice agents. THE PROCESS 1. Define: establish authentic scenarios and criteria for success. 2. Run: execute tests that mimic realistic human behavior. 3. Measure: identify successful elements, failures, and operational boundaries. 4. Act: obtain clear, actionable insights for necessary adjustments or deployments. KEY FEATURES 1. Scenarios: create and define test cases based on agent directives. 2. Caller Profiles: emulate real user behaviors, including variations in accents, speech speed, and interruption styles. 3. Metrics: utilize custom LLM-related and telemetry scoring to evaluate every interaction. 4. Evaluations: conduct structured testing campaigns that yield pass/fail outcomes along with improvement suggestions. 5. Reviews: incorporate human oversight for corrections, complete with a comprehensive audit trail. This multifaceted approach ensures that voice agents are thoroughly vetted and ready for the complexities of real-world interactions.

Description

Revyl revolutionizes mobile testing by streamlining debugging and improving application quality. The platform offers complete visibility into your entire stack, enabling you to detect issues early and avoid costly production bugs. It generates tests based on real user interactions, ensuring that your app performs as expected. Thanks to Agentic Flows, which are resistant to UI changes, tests can be run throughout the development lifecycle, from local environments to production. Additionally, Revyl's integration with existing telemetry systems makes it easier to trace and identify the root cause of issues, removing guesswork and accelerating the debugging process with reliable traceable tests.