Coval is a testing and monitoring platform for AI voice agents. It enables teams to simulate thousands of realistic conversations across edge cases and workflows before deploying agents to production. The platform provides a unified view of agent performance, with built-in and custom metrics such as latency, resolution rate, and missing disclosures. In production, Coval continuously evaluates live calls to detect drift, anomalies, and failures early, sending real-time alerts via Slack and email. It also offers intelligent review queues that surface failures and edge cases for human-in-the-loop feedback. Coval is designed for engineers, quality assurance, product, sales, forward deployed engineers, and customer service operations teams. It supports domains including financial services, healthcare, and HR/recruiting. The platform is SOC2, HIPAA, and GDPR compliant.
Key Benefits
- Simulates thousands of realistic conversations across edge cases and workflows
- Provides built-in and custom metrics for validation
- Offers real-time alerts for thresholds and anomalies
- Enables human-in-the-loop review with intelligent queues