How much does QA Wolf cost?

QA Wolf does not publish rates and has no self serve or freemium tier. The pricing model is public in shape: you pay per test for the number of tests QA Wolf manages, with investigation, maintenance, setup, and cleanup included, so costs are locked to the managed test count. Third party sources estimate a median around ninety thousand dollars per year and note per test pricing can grow costly as suites expand; treat that as a third party estimate, not an official rate.

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QA Wolf

Q: Who is QA Wolf for?

Engineering and QA teams needing guaranteed coverage, Teams that want to avoid in house QA headcount, Enterprises testing web, mobile, and Salesforce apps, Teams testing AI features with LLM as a judge

Also known as: QA Wolf, QAWolf, QA Wolf Inc

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Agent infrastructureindependentVerified 2026-07-08

Agentic automated testing platform and managed service, Coverage as a Service, where AI agents map an app and generate Playwright and Appium tests while full time human QA engineers build, run, and maintain the suite with a Zero Flake Guarantee, delivering eighty percent plus E2E coverage integrated into CI.

QA Wolf is an agentic automated testing platform and managed service, founded in 2019 in Seattle by Jon Perl, that guarantees eighty percent or more end to end automated test coverage for web and mobile applications. Its distinguishing model, which it calls Coverage as a Service, is outcome based rather than a self serve tool: a hybrid of AI agents and full time human QA engineers builds, runs, and maintains the customer's entire E2E suite on their behalf. It is the most funded company in the AI QA category, having raised a thirty six million dollar Series B led by Scale Venture Partners in July 2024 for roughly fifty seven million dollars total, and serves more than one hundred thirty customers including Salesloft, Drata, and AutoTrader.ca.

The workflow is agentic on the front end and human backed on the guarantee. A Mapping Agent autonomously explores the app and documents its workflows, pulling domain knowledge from the customer to fill gaps, and an Automation Agent writes production grade Playwright code for web and Appium code for mobile across complex web, iOS, Android, Electron, and Salesforce cases. Tests run with one hundred percent parallel execution on QA Wolf's managed cloud and device infrastructure and integrate directly into the CI pipeline, enabling short QA cycles and pre merge smoke suites. A Zero Flake Guarantee ensures every failure is human verified by a QA engineer before development teams are alerted, and the platform can evaluate non deterministic AI outputs using LLM as a judge assertions, positioning it for the agentic software development lifecycle. The honest framing, echoed by analysts, is AI assisted humans as a service: agents map, generate, and triage while human engineers own the suite, a model that made QA Wolf sellable into teams that distrust pure testing tools, backed by fifty million plus test runs of operational data.

QA Wolf fits engineering teams that want guaranteed, maintained E2E coverage without building an in house QA function, and increasingly teams testing AI features. It is a weaker fit for buyers wanting a self serve tool, a fully autonomous agent with no human layer, small budgets, or published low cost pricing, since it is the premium managed choice.

Vendor details

Canonical URL

https://www.qawolf.com

Subcategory

Agentic Coverage as a Service E2E testing with human in the loop

Funding status

Independent, headquartered in Seattle and founded in 2019 by CEO Jon Perl, a former Zipdrug engineer. Raised a thirty six million dollar Series B in July 2024 led by Scale Venture Partners with participation from Threshold Ventures, Ventureforgood, and existing investors Inspired Capital and Notation Capital. Total funding is reported at roughly fifty seven million dollars across rounds, with one source citing a higher cumulative figure. Serves more than one hundred thirty customers including Salesloft, Drata, and AutoTrader.ca, and is described as the most funded company in the AI QA category.

Company status

independent

Use cases & customers

Primary use cases

Guaranteed 80 percent plus maintained E2E test coverageAI generated Playwright and Appium tests for web and mobileCI integrated pre merge smoke and regression testingEvaluating non deterministic AI outputs with LLM as a judge

Target customers

Engineering and QA teams needing guaranteed coverageTeams that want to avoid in house QA headcountEnterprises testing web, mobile, and Salesforce appsTeams testing AI features with LLM as a judge

Deployment options

Cloud

Integrations

Integrates directly with the CI pipeline so tests run pre merge on pull request branches and developers ship at the speed of AI, and covers web, iOS, Android, Electron, and Salesforce applications. Agents ingest videos of user flows along with DOM snapshots and browser logs to generate open source Playwright code for web and Appium code for mobile, which the customer owns.

In practice

A team's releases keep getting stuck in QA. QA Wolf's agents map the app and generate Playwright and Appium tests while its engineers maintain the suite, delivering eighty percent coverage in weeks and pre merge smoke tests in CI.

A flaky test would normally page an engineer at 2am. QA Wolf's Zero Flake Guarantee means a human QA engineer verifies every failure before the dev team is ever alerted.

A team ships an AI feature with non deterministic output. QA Wolf uses LLM as a judge assertions to evaluate it, extending E2E testing to the agentic parts of the app.

Sources & related URLs

Related / legacy domains

https://www.qawolf.com/service https://sacra.com/c/qa-wolf/

Research sources

https://www.qawolf.com/ https://www.qawolf.com/service https://sacra.com/c/qa-wolf/ https://devtune.ai/verticals/testing-qa/qa-wolf https://www.prnewswire.com/news-releases/qa-wolf-raises-36-million-series-b-and-opens-waitlist-for-android-and-ios-test-automation-302204038.html https://rywalker.com/research/qa-wolf

Capability coverage

8.0 / 14 capabilities · 57%

Integrations & Tool CallingIntegrates directly with the CI pipeline for pre merge testing and covers web, iOS, Android, Electron, and Salesforce, generating customer owned Playwright and Appium code, qawolf.com and DevTune coverage retrieved 2026-07-08	Full
Workflow OrchestrationAgents map, automate, and run tests in parallel across the full testing lifecycle from creation to execution to maintenance, with one hundred percent parallel execution, qawolf.com and Sacra coverage retrieved 2026-07-08	Full
Knowledge Grounding & RAGThe Mapping Agent autonomously explores the app and documents its workflows, taking domain knowledge from the customer to fill gaps and ingesting flow videos, DOM snapshots, and browser logs, though not a documented RAG system, qawolf.com and Sacra coverage retrieved 2026-07-08	Partial
Human Oversight & GuardrailsHuman in the loop AI with full time QA engineers who own the suite and a Zero Flake Guarantee where every failure is human verified before development teams are alerted, DevTune and Ry Walker research retrieved 2026-07-08	Full
Security, Identity & GovernanceNo security certifications or governance controls are documented on retrieved pages despite the platform accessing customer applications for testing, qawolf.com retrieved 2026-07-08	Unable to verify
Observability & AuditabilityProvides test reporting, 24 hour failure investigation, bug to flow associations, and confidence in app state at any time, backed by fifty million plus test runs of operational data, DevTune and Ry Walker research retrieved 2026-07-08	Full
Memory & State PersistenceMaintains persistent test suites over time with ongoing maintenance and fifty million plus runs of operational history, though this is test suite state rather than conversational agent memory, Sacra and Ry Walker research retrieved 2026-07-08	Partial
Deployment & Data ResidencyTests run on QA Wolf's managed cloud and device infrastructure with no self hosted or data residency options documented, though customers own the generated open source test code, DevTune coverage retrieved 2026-07-08	Unable to verify
Prebuilt Agents, Templates & PacksShips prebuilt Mapping and Automation agents plus retry bots and LLM as a judge assertions as part of the service, though delivered as a managed service rather than a self serve template library, Sacra and startupintros coverage retrieved 2026-07-08	Partial
Triggers & Channel CoverageDirect CI pipeline integration triggers pre merge smoke suites on pull request branches, a focused CI trigger channel rather than a broad multi channel framework, qawolf.com retrieved 2026-07-08	Partial
Model Flexibility & RoutingUses its own AI agents and offers LLM as a judge assertions as a feature, but no customer model choice or routing is documented, qawolf.com retrieved 2026-07-08	Unable to verify
APIs, SDKs & MCP ExtensibilityCustomers own the generated Playwright and Appium code and get CI integration and config files, a developer facing surface, though a documented platform API or SDK is not clearly described, qawolf.com and Crunchbase profile retrieved 2026-07-08	Partial
Testing, Debugging & OptimizationEvaluation is the core product: automated end to end test creation, execution, and maintenance plus LLM as a judge assertions to evaluate non deterministic AI outputs, qawolf.com and DevTune coverage retrieved 2026-07-08	Full
Browser & Computer UseAI agents autonomously explore the app by driving browsers and run tests on real iOS and Android devices, a form of browser and device automation purpose bound to testing, qawolf.com and DevTune coverage retrieved 2026-07-08	Partial

Recent platform changes

No recent material changes tracked yet.

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Pricing

No published rates; per test pricing quoted through sales, third party median estimated around ninety thousand dollars per year

per test managed per month, with investigation, maintenance, setup, and cleanup included; costs locked to managed test count

Contact onlyMedium variable cost

What is public

The pricing model is public in shape, per test with everything included and costs locked to managed test count, and there is no self serve or freemium tier. Exact rates are not published; a roughly ninety thousand dollar annual median comes from third parties.

Billing mechanics

Sales led and outcome based, with no self serve tier. Billing is per test for the number of tests QA Wolf manages, bundling investigation, maintenance, setup, and cleanup, so spend is locked to the managed test count rather than hourly labor.

Cost watchouts

Per test pricing means cost grows as the suite expands, and multiple reviewers flag pricing as a concern at scale; the onboarding ramp of weeks to full coverage is also worth planning for.

Variable cost rationale

Billing scales with the number of managed tests rather than raw runtime, so cost rises predictably as the suite grows but is locked once the managed test count is set. Reviewers flag that per test pricing can become costly at scale, so exposure is medium.

Additional watchouts

Because billing scales with the number of managed tests, growing coverage raises cost; confirm the per test rate and any minimums directly, and account for the multi week onboarding ramp.

Sales call required

Yes — required for paid access

Free / trial

No free or freemium tier; the service is fully managed and quote based

Key ambiguities

The exact per test rate and how it scales by volume are not published; the roughly ninety thousand dollar median is a third party estimate.

Missing data

Exact per test rates and volume tiers are not published; only a third party median estimate of around ninety thousand dollars per year is available.

Verified 2026-07-08

Data confidence: high