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Outbound voice AI QA tests voicemail, IVR menus, and transfer paths before a dialer scales. Cekura runs simulated outbound calls and scores every transcript.

Piper TTS is a free, open-source neural TTS engine that runs on-device, now under GPL-3.0. See its metrics, licensing, and how Cekura tests TTS output quality.

QA as a service explained: what vendors deliver, pricing models, build vs. buy math, and how AI changes the tradeoffs. Read the vendor checklist first.

Platform to run regression tests on Retell agents after prompt changes: Cekura replays a fixed scenario set as real calls across two Retell agent versions on identical evaluator sets, where Retell's only graded testing runs as text.

Regression testing for voice AI agents means re-running a frozen scenario suite after every prompt change and comparing scored results. How the loop works, what to cover, and how Cekura runs it from CI.

RLHF platforms for voice agents compared on preference capture, reward calibration and a promotion gate. Cekura covers the feedback and reward layers without needing weight access.

Agent assist AI suggests replies, retrieves knowledge and writes call summaries live. See what it does, where it fails, and get a 6-layer plan to test it.

Automated fine-tuning for conversational AI: how the loop actually works, what it does to accuracy, what the published continual-learning literature reports about regression, and how to gate a tuning run before release.

Chatbot analytics should predict failure, not just report it. Get the nine leading metrics and the four-layer dashboard that catches drift before users do.

How to choose a voice AI testing platform: the six criteria that decide it, how to verify each one during a trial, what the usage-based pricing actually costs, and when building it yourself is the better call.

Compliance testing for voice AI agents, explained: which disclosure, opt-out and privacy behaviours a test suite can assert on a call, how to run those checks on every release, and why a suite proves behaviour rather than lawfulness.

Contact center load testing, step by step: how to size the load model, which failure metrics to record, the CPS trap that fakes a pass, and a safe ramp plan.