VoxTest AI

VoxTest AI is a Voice AI Agent testing and quality-assurance platform that simulates high-volume, real-world calls, runs automated test suites, and tracks key performance metrics—so teams can ship reliable, fluent voice agents with confidence.

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voice AI testingvoice bot testing platformautomated voice testingvoice agent QAconversational AI testing toolvoice interaction simulationASR performance testingvoice latency monitoring

Features of VoxTest AI

End-to-end call simulation with AI-generated voices

YAML-based test scenarios that handle branching logic

Real-time tracking of response latency, turn-gap, and other KPIs

Automatic scoring of intent accuracy and dialog-flow adherence

Native CI/CD hooks to run tests on every deploy

Granular turn-by-turn transcripts and exportable QA reports

Use Cases of VoxTest AI

Regression-test a new voice-bot release at scale

Validate edge cases like barge-in, silence, or background noise

Auto-check every branch of a complex multi-turn dialog design

Monitor production latency and intent accuracy 24/7

Benchmark ASR model updates against accents and noisy audio

FAQ about VoxTest AI

QWhat is VoxTest AI?

VoxTest AI is a Voice AI Agent testing platform that simulates calls, runs automated test suites, and monitors performance to guarantee quality before release.

QWhat does VoxTest AI test?

It tests end-to-end call flow, intent recognition accuracy, response latency, dialog fluency, and edge-case behavior of voice agents.

QHow do I run a test with VoxTest AI?

Write a YAML script that defines the conversation steps and expected results, then launch the suite from the web UI or CLI.

QCan VoxTest AI plug into my CI/CD pipeline?

Yes—add the provided hook to run tests on every build and block releases that fall below your quality gate.

QWhich complex scenarios can it simulate?

Multi-turn dialogs, user barge-in, background noise, accented speech, silence timeouts, and branching conversation paths.

QWhat results does a test return?

Pass/fail status, average & P95 latency, intent-accuracy score, and a full transcript for turn-by-turn analysis.

QWho should use VoxTest AI?

Dev, QA, and Ops teams building voice bots or voice assistants who need faster, safer releases.

QHow do I define and run a test scenario?

Create a YAML file with user utterances and expected intents/actions, then execute it via CLI or the platform UI.

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