Product
Coval is where voice agents are tested, monitored, and improved so you can scale with confidence.
Get Started →Manual QA was built for a different era. Coval gives teams the infrastructure to ship voice AI they can actually trust.
Handles accents, interruptions, background noise, and tool calls. Everything that makes voice different.
Covers every stage of agent evaluation, from your first simulation to production monitoring at scale.
Human judgment is built into every eval. The more your team reviews, the sharper the whole system gets.
The Continuous Quality Loop
Run thousands of realistic conversations before launch.
Test against callers who interrupt, hesitate, switch languages, and call from noisy environments. All the nuances text evals miss.
27 voices, 10 languages, 20 environments. Every base case, edge case, and failure mode covered.
Plug Coval into GitHub Actions, run on a schedule, or trigger from your CLI. Every change is stress-tested before it ships.
Catch failures the moment they happen in production.
Score every production call against your metrics in real time. Filter by dimension, drill down to the exact call that triggered an alert.
Set thresholds, watch for anomalies, and route incidents to the right team. Alerts in Slack, digests by email, full traces when something breaks.
Connect Coval to Langfuse, Langsmith, Arize, and Datadog. SIP header tracing links every production call to its full trace.
Sharpen the system with human-in-the-loop review.
Failures, edge cases, and low-confidence calls go to the top of your review queue. Spend time on what matters, not random samples.
QA analysts confirm, override, or annotate AI verdicts inline. Their judgment becomes ground truth, instantly.
Human feedback retrains the AI judge, so your simulator and production monitor get sharper with every review.
Coval supports both voice and chat agents on a single platform. Most enterprise customers run both modalities and prefer a unified evaluation layer rather than maintaining separate tools for each.
Coval is OpenTelemetry-native and integrates with Langfuse, LangSmith, Arize, and Datadog. Teams retain their existing tracing infrastructure and use Coval as the evaluation layer on top of it.
Yes. Coval is vendor-agnostic by design. Whether you're running leading agent platforms or building agent orchestration in house, Coval grades every agent identically so you can compare apples to apples. One of the most common reasons enterprises choose Coval is to future proof their agent strategy with one objective evaluation layer for whatever vendors or models come next.
Most teams start with Simulate to generate tests, run statistically significant simulations and catch critical issues before their customers do. Teams can get started today with self-serve or reach out to our enterprise team for a scoped pilot with embedded forward-deployed engineers. From there, customers expand into Observe …
Building realistic evaluation infrastructure in-house is expensive, complex, and hard to maintain - we know because we're doing it! Teams end up chasing their tail where simulated personas are only as good as their agents, and all that time isn't spent on improving customer-facing agent performance. Keeping personas realistic, calibrating metrics, integrating tracing, building dashboards, and managing review queues requires extensive maintenance and teams building in-house lose the network effects of cookbooks and best practices we're learning across hundreds of agents in a dozen verticals. You get the platform and the expertise from day one, so your engineers can focus on the agents that matter most to your bottom line.
Yes. Coval is SOC 2 Type II and HIPAA compliant, with single-tenant deployments available. Full security documentation is available in the trust center.
There are two paths. Engineering teams can sign up for a free trial and begin running simulations through the CLI within an hour. Enterprise teams can book a demo to review the full lifecycle, Simulate, Observe, and Review, with a forward-deployed engineer.
Trusted across the world's most regulated industries, with the security and compliance voice AI demands.
Secure, compliant data management across all systems.
Data processed and stored in compliance with European regulation.
Built to handle Protected Health Information compliantly.
