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AI Model Testing

AI Model is the heart of your AI application, but is it truly reliable, resilient, performant, accessible, and ready for the future?

Traditional testing often falls short, focusing solely on basic functionality and neglecting the critical areas that truly impact the AI Model’s success. Don’t let non-deterministic nature of AI Model impact your business determining ability.

Introducing our comprehensive “AI Model Testing” service, designed to go beyond the ordinary and address the unique challenges posed by it.

Kairos AI Model Testing Services

Non – Deterministic

  • Different behavior for the same inputs – the behavior can change with change in test / training data

Data Adequacy And Quality Of Data

  • Large amount of data to train the models, and data quality in terms of bias, skewness etc.

Domain Knowledge

  • Domain knowledge is necessary to understand data, feature engineering, results interpretability and applicability etc.

Bias

  • Understanding of data for strata, their representation, and sampling – human bias, noised data etc.

Data Interpretability

  • Data interpretability – it being a black-box, when it comes to it working or explainability of data.

Forget generic AI Model testing that misses the mark. Our service offers a comprehensive and differentiated approach that covers different testing methodologies and determining factors:

“According to a 2022 Deloitte report, 79% of AI leaders believe that establishing trust in AI systems through rigorous testing and validation is a critical success factor.”

Testing Methodologies

  • Black box
  • White box
  • Adversarial
  • Stress
  • Security
  • Bias

Determining Factors

  • Black box
  • White box
  • Adversarial

Benefits

Compatibility Testing

Independent and Objective Evaluation

  • Eliminates potential biases that might exist within an internal development team. Neutral and objective assessment of your AI model’s performance across all measures – reliable evaluation that identifies true strengths and weaknesses.
Installation Testing

Access to Specialized Expertise

  • In-depth knowledge and experience in latest AI model testing tools, techniques, and methodologies – identify issues that generalists might miss.
Condition Testing

Scalability and Cost Effectiveness

  • Scalable testing solutions tailored to the complexity of your model and data sets – deliver thorough testing without unnecessary expense.
Core Quality Tests

Benchmarking and Industry Standards

  • Compare model’s performance against industry benchmarks and relevant standards, providing valuable insights into its competitiveness – helps in identifying areas for improvement to meets industry best practices.
Performance Testing

Confidentiality and Intellectual Property Protection

  • Prioritize the security and confidentiality of your data and intellectual property – peace of mind knowing your proprietary data is protected.
Security Testing

Fresh Perspectives and Continuous Improvements

  • Bring a fresh and unbiased perspective to your AI model – leading to the discovery of potential hidden problems.
tool-agnostic-KiRAF
Security Testing

Consulting Services

  • Understanding Problem Statement
  • Data Analysis ( Gaps Capability, Feasibility)
  • Forming Objectives
  • Recommendations
Security Testing

AI Model Testing as a Service

  • Customized Service Structure
  • On Premise / Cloud Based Testing
  • Custom Engagement Models
  • Choice of Service Locations
  • Trainings

Tools / Technology / Expertise

As no two models are the same, we tailor our approach to your unique needs. Our expertise in technology and domains provides an edge over generalists.

Trust our established practices and robust metrics to deliver complete and robust AI Model evaluations. Partner with us for a AI driven future.