BKU VOICE QUALITY

CORE / Voice AI vendors

Voice AI Human QA

Real second-language speakers test conversation flows on real devices, networks, and environments.

01

What we do

  1. Scenario and failure-condition design
  2. Live calls with accents, noise, hesitation, and self-correction
  3. Task completion, repeats, abandonment, and entity-error logging
  4. Regression tests after model or prompt changes

02

How quality is controlled

  1. Participant identity verification
  2. Project-specific consent records
  3. Scenario, device, and environment metadata
  4. Independent QA review
LanguagesLanguages across Southeast Asia, including Thai and Vietnamese, plus Burmese, English, and Japanese

Tell us what must work, for whom, and under what conditions.

Share the target user, workflow, and cost of failure. We will design the smallest pilot that can answer the question.

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