Coval
Voice AI evals and QA that prove an agent is ready before it dials
Pricing
Paid
Platforms
Web, API, CLI...
Developer
Coval, Inc.
Rating
4.5 / 5.0
Last Updated
September 26, 2026
Overview
Coval is a voice AI evaluation platform - the testing and QA layer that sits underneath the agents you build on Vapi, ElevenLabs, Retell or your own stack.
Read on coval.ai on 26 September 2026, the product is built around three surfaces.
Simulate pressure-tests thousands of realistic callers, hard policies, noisy audio and the workflows manual testing cannot cover.
Observe runs production evals on live conversations and flags where resolution, safety or experience is slipping.
Review routes the calls that matter to human QA, so reviewer judgement becomes a sharper eval for the next release.
The behaviours Coval names as first-class tests are marketing-relevant rather than purely technical: identity verification before an agent shares account detail, correct escalation and clean handoff, resolution reached, required information collected once, grounded answers that do not hallucinate, composure under frustrated callers, and off-topic handling.
The site also publishes its own numbers - 217 percent improvement in agent accuracy within seven days and 3.1 million evaluation metrics run weekly - which we treat as vendor-reported figures, not independent benchmarks. The commercial model is published, which is rare in agent QA.
Pricing read on coval.ai/pricing on 26 September 2026: Starter is $100 a month with 100 simulation minutes, 1,000 monitored calls, 30-day trace retention, unlimited seats, 10 metrics per call, basic voice models, five concurrent simulations, one project, 10 personas, five webhooks per project, a 60 request per minute rate limit, community and email support, and HIPAA, SOC 2 Type II and GDPR on every tier.
Growth is $500 a month with 1,000 simulation minutes, 10,000 monitored calls, 90-day retention, unlimited seats and projects, unlimited metrics per call, advanced voice models, 25 concurrent simulations, 50 personas, unlimited webhooks, a 300 request per minute rate limit, role-based access control, 30 days of audit logs, and priority email plus a shared Slack channel.
Enterprise is custom and starts at $4,500 a month with custom volumes and retention, SAML SSO and SCIM provisioning, IP allowlisting, data residency, private VPC or on-premise hosting, white-label reports, a custom SLA up to 99.99 percent, a named support engineer and white-glove onboarding.
Overage runs $0.40 per simulation minute and $0.10 per monitoring minute on Starter, $0.25 and $0.05 on Growth, and annual billing takes 20 percent off.
There is a seven-day free trial that requires a card, plus a free voice agent audit offered as a lead magnet.
The site banner also states that Coval has raised a $28M Series A to make voice AI deployment-ready. Coval is infrastructure for the team that owns the phone line, not another place to write campaign copy.
It fits when an agent is already taking or making real calls and someone is accountable for what happens when it goes wrong: support and CX operations in financial services, insurance, healthcare, travel, hospitality and retail, outbound sales teams calling at volume, in-house engineering teams shipping weekly agent changes, and agent platforms that want demonstrable QA attached to their own product.
It makes less sense if you only run website chat, if the agent is a demo nobody calls yet, or if nobody on the team can define what a failed call looks like.
The trade-offs are visible in the plan grid: there is no free plan, the meter continues after the included minutes, and the controls a regulated buyer will ask for first - SSO, SCIM, audit-log retention, data residency, private hosting, white-label reports - sit behind the custom tier rather than the $500 plan.
Use Cases
Running regression tests on a voice agent before every prompt, model or workflow change so yesterday fix does not become tomorrow failure
Monitoring live inbound support calls for policy and compliance failures, such as an agent acting before identity verification completes
Pressure-testing outbound sales agents against interruptions, objections and off-script prospects before a campaign goes live
Running a vendor bakeoff on identical scenarios when a team is choosing between Vapi, ElevenLabs, Retell or an in-house stack
Triaging production calls with human review so a QA lead can turn real customer conversations into the next round of test criteria
Who Is This For
CX and support operations leaders who own the phone line and answer for what an AI agent says on it
Outbound sales and lead qualification teams calling at volume who need proof that a change to the agent did not break conversion paths
In-house engineering and QA teams shipping agent changes weekly who want evals in CI rather than in a spreadsheet
AI agent platforms and consultancies that want third-party-style reliability testing attached to their own deployments
Regulated industries - financial services, insurance, healthcare, travel and retail - where account access, escalation and disclosure rules have to be evidenced, not assumed
Key Features
Simulation of the callers demos avoid
Run thousands of realistic conversations before launch - accents, interruptions, background noise, frustrated callers, policy traps and off-script users - with a persona library of 10 personas on Starter and 50 on Growth, and five or 25 concurrent simulations depending on plan.
Production evals with alerts when quality drifts
Observe scores live conversations on the same criteria used before launch - latency, resolution, escalation correctness, identity verification, hallucination and more - and pushes real-time alerts to Slack or email when thresholds are breached. Metrics per call are capped at 10 on Starter and unlimited on Growth.
Human review queues that raise the bar
Route high-stakes calls to reviewers, capture their judgement, and turn it into sharper eval criteria for the next release. Compliance is included from the Starter tier up: HIPAA, SOC 2 Type II and GDPR, with a signed BAA and DPA shape and custom security reviews available on the enterprise tier.
Agent-native surface for engineering teams
Every plan ships a REST API, CLI, MCP server, skills framework and webhooks, so evaluation runs from the terminal or CI rather than a separate portal. Rate limits are 60 requests per minute on Starter and 300 on Growth, with 5 webhooks per project on Starter and unlimited on Growth.
Vendor bakeoffs and published benchmarks
Coval sells vendor bakeoffs - the same tests run across competing voice AI platforms to pick the one that holds up on hard scenarios - and publishes voice AI benchmarks as a public resource. For agencies and platform teams that is the difference between an opinion and evidence when a client asks why their agent was chosen.
Pros & Cons
Pros
- Published pricing with real numbers - $100, $500 and a $4,500 enterprise floor, plus overage of $0.40 and $0.25 per simulation minute, $0.10 and $0.05 per monitoring minute, concurrency of 5 or 25, rate limits of 60 or 300 requests per minute, and 20 percent off on annual billing
- Compliance is included on every paid tier rather than sold as an enterprise add-on: HIPAA, SOC 2 Type II and GDPR from the $100 Starter plan, with the heavier controls - SAML SSO, SCIM, audit-log retention, IP allowlisting, data residency and private or VPC hosting - reserved for the custom tier
- The evaluation taxonomy is written in business language a marketing or CX lead can defend: identity verification, correct escalation, resolution reached, hallucination, interruption rate and off-topic handling, not only latency and throughput
- Developer-first access on all plans - API, CLI, MCP server, skills framework and webhooks - so voice agent regression tests can be wired into the same release process as the agent itself
- The vendor bakeoff and benchmark angle gives teams buying a voice platform (Vapi, ElevenLabs, Retell and similar) a way to test competitors on identical scenarios instead of relying on vendor demos
- Coval states a $28M Series A on its own homepage, which matters in a category where the QA vendor needs to outlive the agents it is validating
Cons
- No free plan. The only zero-cost options are a seven-day trial that requires a credit card and a free voice agent audit, so there is no way to evaluate the platform on your own scenarios for free
- Costs scale with testing volume: 100 simulation minutes on Starter disappears quickly in regression testing, overage is $0.40 per minute on that tier, and monitoring is metered separately at $0.10 per minute
- It tests agents, it does not build them. Without a voice or chat agent already in production, or at least in late build, there is little for Coval to evaluate
- The controls a regulated or multi-team buyer asks about first - SSO, SCIM, audit-log retention beyond 30 days, data residency, private hosting, white-label reporting, SLAs up to 99.99 percent - start at the custom tier above the $500 plan
- Plan ceilings are low on entry tiers: one project and 10 personas on Starter, five projects and 50 personas on Growth, which constrains agencies running many clients or industries at once
- The performance figures on the homepage (217 percent accuracy improvement in seven days, 3.1 million metrics weekly) are vendor-reported and unaudited, so treat them as directional rather than as proof
Pricing Plans
Starter
For one team starting a structured agent evaluation process.
- 100 simulation minutes per month, then $0.40 per minute
- 1,000 monitored calls per month, then $0.10 per monitoring minute
- 30-day trace retention
- Unlimited seats, 1 project, 5 concurrent simulations
- 10 metrics per call, 10 personas, basic voice models
- 5 webhooks per project and 60 requests per minute
- HIPAA, SOC 2 Type II and GDPR
- API, CLI, MCP server and skills framework
Growth
For voice and chat agent teams running agents in production.
- 1,000 simulation minutes per month, then $0.25 per minute
- 10,000 monitored calls per month, then $0.05 per monitoring minute
- 90-day trace retention
- Unlimited seats and 5 projects, 25 concurrent simulations
- Unlimited metrics per call, 50 personas, advanced voice models
- Unlimited webhooks, 300 requests per minute
- Role-based access control and 30-day audit logs
- Priority email plus a shared Slack channel
Enterprise
For regulated, high-volume or multi-team organisations.
- Custom simulation minutes, monitored calls, concurrency and retention
- SAML SSO, SCIM provisioning, IP allowlisting and data residency
- Private VPC or on-premise hosting and bring-your-own storage
- White-label reports and custom SLA up to 99.99 percent
- Named support engineer, white-glove onboarding and quarterly business reviews
- Custom security reviews, DPA and extended audit-log retention
Frequently Asked Questions
Editorial Review
Editorial Team
September 26, 2026
Verified from coval.ai and coval.ai/pricing on 26 September 2026: Starter is $100 a month for 100 simulation minutes, 1,000 monitored calls, 30-day trace retention, unlimited seats, 10 metrics per call and 5 concurrent simulations; Growth is $500 a month for 1,000 simulation minutes, 10,000 monitored calls, 90-day retention, unlimited seats and projects, unlimited metrics and 25 concurrent simulations; Enterprise is custom from $4,500 a month. Overage is published at $0.40 and $0.25 per simulation minute and $0.10 and $0.05 per monitoring minute, annual billing is 20 percent off, and HIPAA, SOC 2 Type II and GDPR are listed from Starter upward. The homepage states a $28M Series A and vendor-reported figures of 217 percent accuracy improvement in seven days and 3.1 million evaluation metrics run weekly.
Editorial Team
September 26, 2026
Editorial verdict: Coval is the most specific answer we have found to a problem our voice agent coverage kept running into - teams deploy Vapi, ElevenLabs or Retell agents for lead qualification and support, then discover they have no way to prove the agent still works after the next prompt or model change. The pricing model is honest about what that costs, and putting HIPAA, SOC 2 Type II and GDPR on the cheapest tier is the right call. Our reservations are practical: the entry allowance is small, the meter never stops, and the governance features regulated buyers ask about first start at the custom tier, so the realistic budget for a small team running monthly regression tests is the $500 Growth plan rather than $100.
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