The AI evals platform for voice. Run targeted adversarial tests across scenarios, accents, and edge cases using real production audio. Ship agents with the same rigor you ship code.
You write a prompt, test it yourself a few times, deploy, and hope nothing breaks. That's not a process — that's a gamble.
You call your agent 20 times and hope that covers the edge cases 10,000 callers will hit.
Build in one tool, test in another, deploy through a third. The fix you test isn't the fix you deploy.
Staging never simulates the accents, interruptions, and background noise production delivers daily.
Tell DOJO your call objective — it translates intent into model-specific prompts. No plumbing required.
Targeted adversarial testing using real production audio. Accents, Patience levels, and domain-specific traps.
Data-driven tuning. Identifies exact prompt segments causing scheduling failures or high latency.
Front-load the work. Engineer context and tone before deployment to minimize expensive corrections.
LENS identifies failure patterns (e.g. specific accents or flows).
Specific segments of failed calls are flagged for immediate review.
Reviewers annotate exactly what went wrong at the sentence level.
Fix is tested against real failure conditions in the DOJO Arena.
Confirm the fix works without breaking existing guardrails.
Production call orchestration — telephony, scaling, and agent management in one layer.
LEARN MORE →See what's happening on every call — infrastructure health and conversation quality in one view.
LEARN MORE →Stop crossing your fingers before every deploy. See how AI evals work for voice in a live demo.