Coval
Streamline AI testing with advanced simulations and custom metrics.. [Free Trial]
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What is Coval?
Coval is a simulation and evaluation platform built specifically for AI voice and chat agents, helping teams test, monitor, and manage autonomous assistants at scale. It uses automated conversation simulations to run thousands of scenarios engineers would otherwise have to test manually, which boosts coverage and catches regressions before agents go live. The platform integrates with existing CI/CD pipelines and monitoring systems, so teams can continuously validate agent behavior, track key quality metrics, and surface issues in production conversations.
Key features include thousands of parallel simulations, customizable evaluation metrics, production‑monitoring dashboards, and human‑in‑the‑loop review workflows. Users can define test scenarios, connect their agents via API or SDK, and run evaluations that measure resolution rate, intent recognition, empathetic language, interruptions, and compliance‑related signals. Coval also supports structured sampling of real calls, failure‑driven queues, and trace‑level analysis to speed up debugging and root‑cause analysis.
Coval is designed for engineers, QA teams, and forward‑deployed or product teams building voice and chat agents in regulated and high‑volume domains such as financial services, healthcare, and HR/recruiting. It is especially useful for organizations that need to prove agent reliability, demonstrate performance to buyers, and manage risk around AI agents acting as customer‑facing actors. The platform positions itself as an operating system for AI agents, bridging development, testing, and post‑launch operations around voice and chat assistants.
Coval pricing
Pricing model: Freemium
Coval offers a Starter plan at 100 dollars per month, including 100 simulation minutes per month, 1,000 monitored calls per month, 30‑day trace retention, unlimited seats, 50 custom metrics, basic voice models, community and email support, and SOC 2 Type II, HIPAA, and GDPR compliance. The Growth plan is 500 dollars per month and adds 1,000 simulation minutes per month, 10,000 monitored calls per month, 90‑day trace retention, unlimited projects, 250 custom metrics, advanced voice models, priority email and Slack support, RBAC, audit logs for 30 days, and a 99 percent uptime SLA. The Enterprise tier is custom‑priced starting around 4,500 dollars per month, with negotiated simulation minutes, monitored calls, retention limits, dedicated support, private or VPC deployment, data‑residency options, and custom SLAs, including BAA and DPA support.
Coval pros
- Automated conversation simulations for voice and chat agents
- Thousands of parallel evaluation runs at scale
- Built‑in metrics for resolution rate and intent recognition
- Measures interruptions, empathy, and conversational quality
- Supports real‑world, scenario‑based test cases
- Production monitoring of live agent calls
- Smart sampling and failure‑driven queues for faster debugging
- Human‑in‑the‑loop review workflows
- Customizable evaluation metrics and scoring rules
- CI/CD integration for regression testing
- Cross‑team dashboards for QA and product teams
- Domain‑specific guardrails for finance, healthcare, and HR
- Compliance focused with SOC 2, HIPAA, and GDPR support
- Trace‑level analysis down to individual messages
- Seamless API and SDK integrations with existing stacks
Coval cons
- Primarily tuned for voice and chat agents, not general LLM apps
- Can require significant upfront work to define test scenarios
- Learning curve for setting up custom metrics and scoring logic
- Pricing scales with minutes and monitored calls, which can grow fast
- Requires integration into existing agent and monitoring pipelines
- Limited visibility into non‑Coval‑traced internal systems
- Depends on accurate call‑recording and transcript ingestion
- Fewer off‑the‑shelf connectors compared with broader QA platforms
Frequently asked questions about Coval
What types of AI agents can Coval test?
Coval is designed for autonomous voice and chat agents used in customer‑facing roles such as support, sales, scheduling, and recruiting. It supports both telephony‑based voice agents and chat interfaces, allowing teams to simulate and monitor real‑world conversations across these modalities and validate behavior end‑to‑end.
How does Coval simulate conversations?
Coval runs large‑scale simulations that impersonate real users, executing thousands of scripted and semi‑structured scenarios against your agent. These simulations can model varied inputs, edge cases, and indirect questions so you can test how the agent behaves under diverse conditions without manual testing.
Can I create my own evaluation metrics with Coval?
Yes, Coval lets you define custom metrics and scoring rules tailored to your use cases, such as success criteria for specific intents, compliance checks, or tone‑of‑voice signals. You can start with a limited number of metrics on lower tiers and scale up to hundreds or unlimited metrics on higher and enterprise plans.
Does Coval work with existing CI/CD pipelines?
Coval integrates with CI/CD workflows so evaluations can run automatically on every change, flagging regressions or performance drops before agents are deployed. Evaluations can be triggered via API or CLI, and results can be exposed to existing dashboards and monitoring tools.
How does production monitoring work in Coval?
Coval ingests call transcripts and traces from your production environment, then applies evaluation metrics and heuristics to label quality signals such as resolution rate, intent match, interruptions, and compliance issues. You get dashboards and alerts that surface problematic calls and patterns so teams can prioritize fixes and confirm improvements.
Is Coval suitable for regulated industries like healthcare or finance?
Yes, Coval positions itself as compliant with SOC 2 Type II, HIPAA, and GDPR, and offers features such as data‑residency options, audit logs, and security reviews that are relevant for regulated industries. The Enterprise tier adds BAA and DPA support plus private deployment options for extra control.
Do I need to instrument my agent with an SDK to use Coval?
Coval can work via API‑based integrations where you push transcripts and evaluation data, but deeper tracing and observability are available when you instrument your agent with Coval’s SDK or their supported partner integrations. This allows for richer trace data and better alignment between simulation and production evaluation.
How does Coval differ from manual QA for voice agents?
Coval replaces ad‑hoc, manual QA with structured, repeatable evaluations that run across thousands of scenarios and real calls. It reduces reliance on human testers for coverage, surfaces issues faster through automation and sampling, and provides consistent scoring over time instead of subjective spot checks.
Can multiple teams share the same Coval instance?
Yes, Coval supports unlimited seats and multiple projects, so different teams such as QA, product, and deployment engineers can share the same account while working in separate projects or with role‑based access controls depending on the tier.
What happens when I exceed my monthly simulation or monitoring minutes?
If you exceed your plan’s included simulation or monitoring minutes, Coval applies overage pricing per minute, with rates published per plan and negotiated for Enterprise. You can monitor usage in dashboards and adjust your plan or budget as your agent volume scales.