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HiTest vs KushoAI

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

HiTest compared with KushoAI
DetailHiTest logo HiTestKushoAI logo KushoAI
What it doesAI QA agent for regression testing websites The reliability layer for modern software
StageNot given Not given
FoundedNot given Not given
Based inUS US
Pricing modelNot given Freemium
PricingFree: 200 lifetime credits, 1 project, 1 member. Starter: $33/mo (billed annually at $396/year), 2,000 credits/month, 3 projects, 3 members. Team: $84/mo (billed annually at $1,008/year), 5,000 credits/month, 10 projects, 10 members. Business: Custom pricing for larger teams. Developer Edition: Free (up to 50 API endpoints). Enterprise: Custom Pricing based on API endpoints, UI workflows, test execution volume, team size, and deployment model.
Key features
  • Explore user journeys and auto-generate test case drafts
  • Run tests in a real browser with recording
  • Test logged-in workflows with project test accounts
  • Review failed steps, screenshots, and browser recordings
  • Schedule test runs manually, on recurring schedule, or from deployment webhook
  • AI-generated summary and actionable issue creation
  • Test multiple projects with customizable coverage
  • Team member management and access control
  • Proxy access for network configuration
  • Technical support via Slack
  • Automatic test generation from API specifications
  • API contract validation against breaking changes
  • Continuous security scanning for vulnerabilities
  • End-to-end workflow testing across services
  • Self-healing tests that adapt to API changes
  • AI-computed risk scoring for releases
  • SOC 2 and ISO 27001 certification
  • SSO/SAML and RBAC support
  • On-premise deployment option
  • 99.9% uptime SLA
What makes it different
  • No test script maintenance required
  • AI-powered test case generation from plain language descriptions
  • Fast coverage for product-facing workflows without coding
  • Evidence-driven failure debugging with recordings and context
  • Designed for logged-in workflows and account context
  • Domain-grounded AI trained on real testing scenarios
  • Self-maintaining test infrastructure that adapts automatically
  • Unified testing for backend APIs and frontend UI
  • Acts as AI gatekeeper in CI pipeline
  • Fast ROI with <30 days payback period
Community votes00
DR (Domain Rating by Ahrefs)10 +2 (up) since last check49 no change since last check
Trust Flow (Majestic)39
Citation Flow (Majestic)2735
Referring domains (Majestic)18513

5 details filled in for both companies.

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