Coval

Coval is a voice AI testing and evaluation platform that provides simulation, production monitoring, and human quality assurance loops for voice agents.

Coval provides a platform for testing and evaluating voice AI agents across their full lifecycle. It allows teams to simulate thousands of realistic conversations to pressure-test agents before launch, helping identify issues with policy compliance, interruptions, and noisy audio. In production, the platform observes live calls to surface patterns indicating quality drift or resolution failures. Teams can route specific calls to human reviewers, integrating that feedback back into the testing loop for future releases. The platform supports vendor comparisons, enabling teams to benchmark performance across different models using consistent scenarios. It is designed for product, operations, and compliance teams managing high-stakes voice AI deployments.

Coval at a glance

Best for: Software engineer
Runs on: API, CLI
Pricing: Starter $100/month; Growing $500/month; Enterprise starting at $4,500/month.
Released: November 2024
Category: AI coding tool
Website: coval.dev

Key features

Simulate thousands of realistic caller conversations
Monitor production calls for quality drift
Route failed or low-confidence calls to human QA
Run regression testing for prompt and model updates
Compare performance metrics across different AI vendors
Validate identity verification and escalation paths
Analyze agent timing, turn-taking, and interruptions

Use it for

Testing voice agent compliance with safety protocols
Validating escalation and transfer paths
Benchmarking voice AI vendors before deployment
Detecting quality regressions after model updates

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