Product › Simulate
Coval runs thousands of conversations against your agent, so you know exactly how it will perform before you ship.
Voice-native evaluation. Conversation, audio, and tool calls evaluated together in one system, not separately after the fact.
Real-world caller diversity. Test against 27 voices, 10 languages, and 20 background environments so nothing surprises you in production.
Stress-test difficult scenarios. Irate callers, off-topic requests, and compliance traps. Run the scenarios no one wants to think about.
Personas define how simulated callers behave. Test sets define what they do. Mix and match both to build exactly the coverage you need.
Choose from a library of resolution, adherence, accuracy, latency, and compliance metrics, or write your own.
Run the same test set across multiple prompts, models, or vendors to see exactly what changed and why.
Run evals from your terminal, CI pipeline, or your agent code.
Stress-test every pull request automatically. Block merges on regressions before they reach production.
Nightly regression suites, weekly model comparisons, or production stress tests on any cadence.
Every prompt change, model update, and new workflow stress-tested automatically. Your release cycle stops being gated by manual QA.
Real customers call from noisy cars, switch languages, and say things no internal tester would. Coval surfaces those failures before they do.
Stop burning senior engineering time on test calls. QA scales with the agent, not the headcount.
