Coval is an evaluation platform for voice and chat AI agents, designed for engineering and product teams building production-grade conversational AI at scale. It provides tools to benchmark, simulate, monitor, and review agent performance across every stage of the development lifecycle, from initial prototyping to post-deployment observability.
Key Features
- Simulation: Run thousands of realistic multi-turn conversations against voice and chat agents before launch using configurable personas, scenarios, and edge cases that mirror real-world usage patterns
- Observability: Score every production call in real time with latency tracking, interruption detection, sentiment analysis, compliance checks, and escalation detection, surfacing regressions before customers find them
- Human Review: Smart sampling routes failures to human reviewers whose feedback continuously retrains the AI judge, creating a continuous quality improvement loop that sharpens evaluation accuracy over time
- Custom Metrics: Define up to 250 bespoke evaluation metrics on the Growth plan (unlimited on Enterprise) to measure exactly what matters for each use case, agent behavior, and business outcome
- Agent Behaviors: Test voice AI against critical interaction patterns such as identity verification, correct escalation handling, hallucination detection, compliance adherence, and frustrated caller scenarios
- Multi-Surface Access: REST API, CLI, MCP server, and skills framework for integrating evaluation directly into existing CI/CD pipelines, development workflows, and agent toolchains
Use Cases
- Agent Platforms: Give customers the proof they need to put agents into production with rigorous, repeatable pre-launch testing dashboards and ongoing production monitoring
- In-House Teams: Future-proof the agent stack as foundation models, tools, and providers change, with continuous evaluation across every deployment and configuration update
- Vendor Bakeoffs: Run identical benchmark scenarios across every voice AI platform to make objective, data-driven vendor decisions based on real performance metrics
- Regulated Industries: Healthcare, financial services, and insurance teams use Coval on SOC 2 Type II, HIPAA-ready, and GDPR-compliant infrastructure meeting enterprise security requirements
Integrations
- Technology partners include Cisco, Zoom ISV Exchange, Hathora, Pipecat, Rime, Langfuse, and Retell AI, spanning telephony, voice models, and observability platforms
- Deploy via REST API, CLI, MCP server, or Coval skills framework directly into existing agent pipelines, programming languages, and runtime environments
Pricing
- Starter: $100 per month for 100 simulation minutes and 1,000 monitored calls with 30-day trace retention and community support, ideal for teams beginning agent evaluation
- Growth: $500 per month for 1,000 simulation minutes and 10,000 monitored calls with 90-day trace retention, advanced voice models, priority support, and SSO for growing production teams
- Enterprise: Custom pricing from $4,500 per month with dedicated support engineer, SAML SSO, SCIM, custom SLAs up to 99.99 percent, data residency, and white-glove onboarding for regulated high-volume organizations
All plans include SOC 2 Type II, HIPAA, and GDPR compliance from the Starter tier upward. A 7-day free trial is available on paid plans, and annual billing offers a 20 percent discount on subscription costs.
