Model Performance Evaluation:
We assess AI models using critical metrics such as precision, recall, and F1-score.
Ethics & Fairness:
Rigorous testing for bias, fairness, and explainability to ensure ethical AI deployment.
Tooling Integration:
Imploementing tools for model testing, including MLflow, TensorBoard, Great Expectations, and Evidently AI.
RAG & Generative AI:
Our capabilities extend to validating Search-Assisted Content Generation (RAG) techniques and Generative AI systems.
Enterprise Integration:
We support the implementation of AI in existing business systems.
Compliance & Privacy:
Our services include ensuring adherence to AI ethics, privacy standards, and regulatory compliance.
Lifecycle Management:
We manage the quality assurance process throughout the entire AI project lifecycle.
Utilizing specialized software tools to execute test cases, compare actual outcomes with expected outcomes, and report on the test execution, increasing efficiency and coverage.
Assessing software and systems to identify vulnerabilities and ensure protection against unauthorized access, data breaches, and other security threats. GPDR / RODO Compliance.
Evaluating how easily and effectively users can interact with a product or system to identify areas for improvement in user experience and user interfaces
Examining testing data, metrics, and processes.
Identify trends, root causes of defects, and areas for improvement.
Improve efficiency, effectiveness, and overall quality outcomes.
Identifying, assessing, and mitigating potential risks.
Expert in Quality Assurance with 6 years of Leading QA teams. Multidimensional experience in programming, design teams, data analysis and management fields. Proven success of implementing testing automation and driving process to improve quality in SDLC.
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