Enterprise QA
Reimagined with AI.

AI test automation uses AI models to generate, run and maintain software tests instead of only executing hand-written scripts. In NexGen QA that means describing behavior in plain English to generate executable test scripts with selectors, assertions and test data, then letting self-healing tests repair broken selectors automatically as the UI changes, across 35+ testing modules covering API, security, performance, accessibility, database and more.

Yes. You write test cases in plain English and the AI engine — models from OpenAI, Anthropic, Google (Gemini), DeepSeek, Mistral, Groq and Azure OpenAI, or a custom model you register — converts the description into executable test scripts. Self-healing tests then detect when an element selector breaks because the UI changed and repair it automatically, which is aimed at the recurring cost of test maintenance rather than just the one-time cost of writing tests.

With the BYOK GitHub Actions runner, tests execute inside your own GitHub Actions runner using AI provider keys stored in your own GitHub Secrets — NexGen QA never sees, stores, or transmits your raw API keys. The platform stores only test definitions and results (with field-level encryption), and organizations are isolated with role-based access control and audit logging.

BYOK stands for Bring Your Own Key. Enterprise and Government tenants can register AI provider keys — for OpenAI, Anthropic, Google (Gemini), DeepSeek, Mistral, Groq and Azure OpenAI — as GitHub Secrets, or register any OpenAI-, Anthropic-, or Gemini-compatible endpoint (including a self-hosted model) from Settings → Custom Models. Custom models then appear in every AI testing model picker across the platform.

Setup takes about five minutes: register a secret name in NexGen QA, paste a GitHub personal access token, and NexGen QA commits a workflow file to your repository. From then on, tests execute inside your own GitHub Actions runner using the AI provider key stored in your own GitHub Secrets, and results are posted back to the platform cryptographically signed.

NexGen QA covers 35+ testing modules: API testing (REST, GraphQL, gRPC), security testing (DAST, SAST, OWASP Top 10), accessibility testing (WCAG 2.2, Section 508), performance and load/stress testing, mobile and responsive testing, database testing, WebSocket testing, contract/Pact testing, visual regression testing, chaos and resilience testing, blockchain testing, localization/i18n testing, and AI model validation — plus compliance auditing and CI/CD integration.

Yes. The AI Validation Suite covers hallucination detection, bias detection, robustness testing under adversarial inputs, toxicity scanning and safety evaluation. Advanced AI Testing adds red teaming against 30+ adversarial attacks, model drift detection, RAG validation for retrieval accuracy and grounding, and prompt-injection resistance testing.

It depends on what you need. Katalon is a mature, scripted test automation tool spanning web, mobile, API and desktop testing with a free tier and test management. mabl focuses on agentic, low-code testing. testRigor generates tests from plain-English descriptions. NexGen QA differs by combining AI test generation and self-healing with security, database, performance, accessibility and LLM-validation modules, a BYOK GitHub Actions runner, and self-hosted deployment in one platform — see the detailed comparisons below for specifics.

Yes — the Free plan includes 3 users, dashboard, test case management, test scheduler and basic integrations at $0/month. The Professional plan is $199/month per seat with 2,000 AI credits and 25+ testing modules. Enterprise and Government plans offer custom pricing with unlimited users, the BYOK GitHub Actions runner, custom AI models, advanced compliance auditing, and SSO/SCIM.