AiEnsured

AiEnsured is a commercial testing platform for AI products, designed to support the deployment of responsible AI. AI systems can fail in ways that conventional software testing does not catch, such as biased outcomes, unexpected behaviour on unusual inputs, vulnerability to attacks and declining performance over time. AiEnsured brings together testing methods for these risks in a single suite, covering a model's development, testing and operation. It is developed in India and has been recognised in Forbes India's DGEMS 200 list.

The platform offers several types of testing. Fairness and bias evaluation checks whether models treat groups of people differently. Explainability and interpretability features help users understand how models reach their decisions. Security and adversarial robustness testing checks whether models can be misled by deliberately manipulated inputs. Other methods generate test cases automatically. These include corner case generation, which explores rare and extreme inputs; test generation based on linguistic analysis; and metamorphic testing, which checks whether outputs change consistently when inputs are changed in known ways. The platform also checks models for privacy and GDPR compliance.

Further features support the wider machine learning lifecycle. These include data augmentation, automated model generation, experiment management, model comparison through A/B testing, and performance and inference testing. Once models are deployed, monitoring features detect concept drift, which occurs when changes in real-world data reduce a model's accuracy.