Enterprise SaaS · Communications Platform
ZVA was live with paying enterprise customers, and a global multi-language rollout across eight or more locales was imminent. The engineering team had no automated end-to-end voice testing infrastructure. Manual testing couldn't cover the scenario breadth, couldn't reproduce customer-reported bugs, and offered no regression coverage between releases.
Leadership needed objective performance data for both internal prioritization and external positioning against competing voice agent stacks. Building that internally would have taken months. The team needed it in weeks.
Manual testing couldn't cover multi-language deployments or reproduce customer-reported bugs at scale.
Engineers had no traceable path from QA result to root cause when issues surfaced in production.
Leadership needed third-party performance numbers against competing platforms.
Eight or more locales meant the testing surface multiplied with every new language ZVA shipped.
| Metric | Before Coval | With Coval |
|---|---|---|
| Test infrastructure | Manual, scenario-limited | 22,171 simulations in 174 days |
| Multi-language coverage | Inconsistent across 8+ locales | Test sets per language with automated regression |
| Bug detection | Reactive, surfaced in production | Proactive, caught before customer exposure |
| Benchmark data | Months to build internally | Objective benchmark vs. competing stacks in weeks |
| Vendor relationship | Engineering tool evaluation | Exclusive ISV partnership for ZVA deployments |
Zoom's engineering team went from demo to signed contract in under eight weeks because the alternative — building this infrastructure internally — would have taken months and missed the multi-language launch window entirely.
Coval ran ZVA against competing voice agent stacks on identical test sets, producing benchmark data Zoom's leadership used directly for internal prioritization and external positioning. The kind of output that would have taken months to build in-house arrived in weeks.
Within thirty days of contract start, the team moved from finding bugs through customer reports to catching them in simulation. Production-blocking issues were surfaced before customer exposure, including localization regressions that would have surfaced across multiple locales at once.
The engineering contract was signed in November. By December, Zoom had formalized Coval as the designated testing infrastructure for ZVA deployments. Zoom is now actively co-selling Coval into its own enterprise customer base.
What started as an engineering contract became a strategic partnership in four months. Zoom's ZVA team ships across eight or more languages with a regression suite that grows with every new test set, and a benchmark methodology that holds up under leadership scrutiny.
"Coval gave us the testing infrastructure that would have taken us months to build, in weeks. We moved from reactive to proactive detection inside thirty days."
Coval is now the designated testing infrastructure for ZVA deployments and the foundation of a co-sell motion bringing Coval into Zoom's own enterprise customer base.
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