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QAI

Freemium#16 of 30 in Test Analytics Software

AI-powered CI failure analysis

9.0/10Editor score
QAI9.0 Visit QAI

At a glance

  • Editor score
    9.0 / 10
  • Pricing
    Free plan · paid from $29/mo · 7-day trial
  • Best for
    GitHub teams wanting AI failure explanations
  • Free plan
    Yes
  • Paid from
    $29/mo
  • Flaky-test detection
    Yes
  • Facts checked
    21 Sep 2026
  • Where it wins

    • Clusters failures by root cause and explains likely causes with AI
    • Adds pull-request risk scores, merge recommendations, and fix suggestions
    • Tracks trends, flaky tests, and Playwright behavior through trace analysis
  • Where it doesn't

    • CI integration is centered on GitHub Actions
    • The Free plan is limited to 1 repository and 50 CI runs monthly
    • Slack alerts, priority support, and unlimited team members require Team

Our verdict on QAI

QAI is a test-intelligence product for engineering teams that need clearer CI failure analysis inside GitHub workflows. Its GitHub Action ingests JUnit XML and, for Playwright runs, traces and reports. The platform analyzes failures, groups them by root cause, scores pull-request risk, recommends whether to merge, and reports results on pull requests. It supports Playwright, Selenium, WebdriverIO, Jest, Vitest, pytest, Maven/JUnit, Go, NUnit, and RSpec. A web dashboard, API, and free open-source GitHub Action support different ways to work with the product.

Pricing is structured around a usable free entry point and paid expansion. The Free plan costs $0 per month and includes 1 repository, 50 CI runs per month, a pull-request risk score, failure clustering, 30-day cluster history, and 1 team member. Pro costs $29 per month and adds unlimited repositories and CI runs, AI root-cause analysis, Playwright trace analysis, AI fix suggestions, and 50 monthly uses of Ask QAI in PR. Team costs $99 per month and adds unlimited team members, unlimited Ask QAI in PR, Slack alerts, and priority support. A 7-day free trial is also available.

QAI fits teams whose development process already runs through GitHub Actions and pull requests. Its strongest differentiator is the combination of failure clustering, AI explanations, risk scoring, trace analysis, historical execution trends, flakiness tracking, and behavioral coverage maps from Playwright traces. GitHub Issues, Slack, email, webhooks, and automated rules extend its workflow connections. Teams needing broader CI/CD coverage beyond GitHub Actions, or a simpler tool without AI analysis, may prefer an alternative. Choose QAI when failure interpretation and pull-request decisions are central to the workflow.

QAI pricing

Plans Free plan · paid from $29/mo · 7-day trialFreemium A usable free plan; paid tiers unlock the limits above. Prices re-checked Sep 2026.
See plans on useqai.dev

All 3 QAI plans and prices →

QAI fact sheet

Free planYes
Paid from$29/mo
Supported frameworksPlaywright, Selenium Java with JUnit 5, Selenium Java with TestNG, Selenium Python with pytest, WebdriverIO with Mocha, Jest, Vitest, pytest, Maven/JUnit 4/5, Go with gotestsum, NUnit, RSpec
CI/CD integrationsGitHub Actions
Flaky-test detectionYes
Failure analysisYes
Execution trend reportsYes
Data retentionNot verified
Self-hosted deploymentNot verified
Free trial7 days · no card needed
Money-back guarantee7 days
DeploymentCloud
PlatformsWeb
SupportEmail, Docs
Built forSmall business, Mid-market (editorial estimate)
Integrations6 integrations: GitHub Actions, GitHub pull requests, Slack, GitHub Issues, email, webhooks
PricingFree plan · paid from $29/mo · 7-day trial (source)
Websiteuseqai.dev
Facts checked21 Sep 2026

QAI integrations

QAI lists 6 integrations on its own site.

  • GitHub Actions
  • GitHub pull requests
  • Slack
  • GitHub Issues
  • email
  • webhooks

Alternatives to QAI

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Featured on iTechGuides

Featured on iTechGuides — QAI 9.0/10

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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

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