Proprietary AI Testing Technology

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Advances in AI are Exciting,
Building Trust Remains Challenging

Whether you're a business owner or a consumer, it’s understandable that you have concerns about the AI solutions you’re exploring. Even for the experts building the solutions, it can be tough to know whether they're working properly and what kind of risks they might pose, including legal, financial, operational, and reputational risks.

Holistic risk assessment of interrelated model dimensions, including data quality, model performance and accuracy, fairness, interpretability and robustness 

Holistic risk assessment of interrelated model dimensions, including data quality, model performance and accuracy, fairness, interpretability and robustness 

Detect hidden biases and disparate impacts against protected populations
Identify areas of model weakness, sensitivities, edge cases and outliers  
Establish use-case specific thresholds for acceptable model behavior 
Armilla Interface Example
Armilla Interface Example
Armilla Interface Example