Your Intelligent QA Copilot.

Built for fast-moving teams testing complex software.

Analyze test coverage, identify gaps, reduce flakiness, squash bugs… release with confidence.

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Agents are generating 10x code..

Keep PACE without 10x the headache.

Your QA team shouldn’t be a bottleneck. It should be a competitive advantage. Leverage the right AI-QA software test automation tools to drive bug free releases.

AI That Works Alongside Your QA Team

  • test-automation-with-ai-enabled-qa-software

    Smart Test Expansion

    AI identifies coverage gaps and suggests meaningful new tests.
    You approve. You control. You stay in charge.

  • self-healing-automated-testing-coverage-with-ai-enabled-qa-software

    Self-Healing Automation

    When UI changes, tests adapt intelligently — reducing script maintenance.

  • flakiness-assessment-and-root-cause-analysis-with-ai-enabled-qa-software

    Failure Intelligence

    Distinguishes flaky tests from real regressions.
    Clusters similar failures.
    Surfaces root cause signals.

  • improved-test-coverage-with-ai-enabled-qa-software

    Instant Coverage Expansion

    Drives rapid test expansion.
    Go from coverage in weeks to days.

Curious how it works?

Learn about Pariksa’s product, pricing, implementation and ROI

Our FAQs

  • Pariksa is built for

    • QA engineers and SDETs

    • Engineering managers

    • DevOps teams

    • Product-led engineering organizations

     That:

    • Ship weekly (or daily)

    • With high-velocity, high-volume code changes

    • In medium and high-complexity software or legacy systems

  • Pariksa connects to your repository and test suite, analyzes code changes and coverage, and uses AI models to:

    1. Identify gaps in testing

    2. Generate relevant test scenarios

    3. Recommend edge cases

    4. Flag redundant or flaky tests

    It integrates into the CI/CD workflow so quality becomes continuous, not reactive.

  • No — and that’s definitely not the goal! Pariksa eliminates repetitive test writing and maintenance work so engineers can focus on:

    • Risk analysis

    • Test architecture

    • Cross-system validation

    • Release decision-making

    • Strategic quality initiatives

    The QA role becomes more impactful and strategic. We believe the future of QA is augmented, not automated away.

  • Pricing is typically based on factors such as:

    • Team size

    • Repository size

    • Number of test runs

    • Deployment model

    If Pariksa doesn’t create measurable value in the first three months, we won’t charge you. Contact us for a tailored quote. 

Big Ideas, Real Impact, No Hype.

AI-Driven Software Testing.

Big Ideas, Real Impact, No Hype. AI-Driven Software Testing.

Empower Your QA Team

Request a demo to see how easily AI-assisted QA can help you drive results

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