Make your AI reliable, safe and ready for production

We evaluate and test AI systems (LLMs, RAG, agents, chatbots, and predictive ML) with measurable quality gates, so you can deploy with confidence.


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    The hidden risks in production AI

    Hallucination blind spots

    Confident-sounding wrong answers that damage trust. Your AI sounds certain, but is completely fabricating.

    Bias leakage

    Systematic unfairness that goes undetected until it becomes a crisis. Legal risk hiding in every output.

    Quality drift

    Performance degrades silently over time. What worked at launch slowly breaks without warning.

    Comprehensive AI quality assurance

    AI Quality Evaluation

    Measuring task accuracy, response consistency, hallucination detection, adversarial robustness, and agent behavior correctness.

    Safety, Risk & Compliance

    Covering toxicity checks, bias testing, data privacy, security vulnerabilities, and governance readiness.

    Performance & Reliability

    Testing latency, throughput, cost trade-offs, failure handling, and regression across versions.

    Operational Readiness

    Covering monitoring, release gates, incident response, and continuous evaluation pipelines for production AI systems.

    How we work?

    1

    Discovery (1-2 weeks)

    Define use cases, risks, acceptance criteria, and map architecture.

    2

    Evaluation Design (1-2 weeks)

    Build test suite, golden dataset, scoring rubric, and baseline metrics.

    3

    Execution & Hardening

    Run tests, tune prompts/retrieval/policies, implement safeguards and regression.

    4

    Readiness & Continuous QA

    Set release gates, automate evaluation, and monitor drift after launch.

    Our Success Stories

    Building your AI QA practice

    1

    Risk Assessment

    Identify high-stakes outputs and potential failure modes.

    2

    Framework Design

    Define metrics, benchmarks, and comprehensive test suites.

    3

    Automation Setup

    Build CI/CD integration for continuous evaluation.

    4

    Team Enablement

    Train your team to maintain and extend testing coverage.

    QA impact on production AI

    0 %

    Hallucination detection rate

    0 %

    Reduction in production incidents
    0 X

    Faster deployment cycles with confidence

    Ready to make your AI production-ready?

    Let’s assess your current AI solution and define measurable quality gates.


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