Overview

AryaXAI is an explainability and alignment platform from Arya.ai that helps financial services, insurance, and healthcare use AI more safely and transparently. It offers a model-agnostic explanation method called DLBacktrace that traces a model's decision from output back to input, and it also integrates established explainability tools like SHAP, LIME, and Integrated Gradients. Beyond explanations, AryaXAI provides a full ML observability stack with data drift and model bias monitoring, customizable risk management, and automated logging for compliance. It includes AryaXAI Synthetics, which uses GPT-2 and GANs to generate high-quality synthetic data for testing and conditioning samples, and it can run on top of existing MLOps platforms such as DataRobot and AWS. The platform is backed by AI Alignment Labs in Paris and Mumbai and aims to improve transparency, safety, and governance of AI systems while helping organizations manage model risk and regulatory requirements.