Professional testing solutions and high-quality datasets for AI applications.
Accuracy and latency validation for voice-enabled AI agents.
Rigorous reasoning and response quality analysis for models.
High-quality curated data for training and validation.
Systematically test voice agents end-to-end: from prompt/tool behavior to real-world voice UX. Reproduce issues, prevent regressions, and ship faster with measurable quality.
Create reusable conversation scripts, edge cases, and adversarial tests for consistent evaluation.
Test barge-in, interruptions, silence handling, mishears, and recovery flows that matter in production.
Verify tool selection, arguments, sequencing, and failure behavior (timeouts, retries, fallbacks).
Score conversations for correctness, helpfulness, policy compliance, and brand voice—then export results.
Compare runs across model versions and prompt changes to catch quality drops before deployment.
Track usage and outcomes with Google Analytics.
Share your use case (inbound calls, support, scheduling, sales, etc.) and what you want to validate: latency, accuracy, tool reliability, safety, or multilingual performance.
- A clear test plan and scenario coverage
- Measurable quality metrics and QA notes
- Repro steps for failures and edge cases
- Recommendations to improve voice UX and reliability
Prefer email? Reach us at hello@catpawdata.com