What is Coval?

Coval is a platform for testing, monitoring, and managing conversational AI agents. It simulates thousands of realistic conversations across edge cases and workflows to validate agent behavior before deployment. The system records detailed metrics—including latency, resolution rate, intent recognition, compliance, and audio quality—for continuous performance tracking in production.

Real‑time alerts are sent to Slack or email when thresholds are breached or anomalies are detected, enabling rapid remediation. Coval supports role‑specific workflows for engineers, sales, quality assurance, product, and operations teams, streamlining debugging, demos, and compliance checks.

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Coval's key features

Simulate thousands realistic conversations
Validate with custom metrics
Real-time Slack and email alerts
Intelligent queues for human review
Continuous live evaluation early failure detection
Load permutation testing with voice realism

Coval use cases

Simulate thousands of realistic customer interactions to validate intent accuracy and latency before rolling out a new conversational AI on a healthcare platform, ensuring HIPAA compliance with Coval
Receive real‑time Slack alerts for any decline in intent accuracy or latency spikes, enabling dev teams to resolve issues quickly while keeping GDPR compliance under check, powered by Coval
Automate role‑specific compliance workflows by logging all agent interactions, generating SOC2 audit evidence, and triggering approvals, all managed through Coval’s workflow engine