Trust Layer: AI Testing & QA
Evaluate AI models, features, and outputs before deploying them into your business. Ensure reliability, security, and fairness with Dhinker’s Trust Layer.
Overview
The Trust Layer by Dhinker is our QA and benchmarking service for AI systems. We simulate edge cases, identify hallucinations, and validate AI performance using our custom testing frameworks.
What You Get
Accuracy Testing
Comprehensive evaluation of model accuracy, precision, and recall across various scenarios.
Bias Detection
Identify and measure bias in AI models to ensure fair and ethical outputs.
Performance Reports
Detailed benchmarking reports with actionable insights for improvement.
Security Review
Comprehensive security and data compliance review for your AI systems.
Testing Process
Assessment
Initial evaluation of your AI system and identification of testing requirements.
Testing
Comprehensive testing using our custom frameworks and edge case simulation.
Analysis
Deep analysis of results and identification of potential issues and improvements.
Report
Detailed report with findings, recommendations, and actionable next steps.
Performance Metrics
Precision
Accuracy of positive predictions
Recall
Ability to find all relevant instances
Performance
Overall system performance score
Ideal For
AI Developers
Product Teams
Startups
Ready to Validate Your AI?
Get comprehensive testing and validation to ensure your AI systems are reliable, secure, and ready for production.