Arthur

Arthur is a powerful MLOps platform that simplifies the deployment, monitoring, and management of both traditional and generative AI models. Designed to meet enterprise-scale requirements, Arthur ensures models are scalable, secure, and compliant with industry standards. Its plug-and-play solutions allow organizations to leverage internal knowledge and seamlessly integrate generative AI technologies into their operations. Arthur prioritizes security, protecting models from critical threats like data leakage, hallucinations, and prompt injection. The platform optimizes model performance across various types, including tabular data, computer vision, natural language processing (NLP), and large language models (LLMs), offering a versatile, model-agnostic solution. With the capability to handle up to one million transactions per second, Arthur scales to meet the needs of complex enterprises. It supports a wide array of data science and MLOps tools such as Databricks, TensorFlow, and Amazon SageMaker, across SaaS, managed cloud, and on-premise environments. Besides, Arthur's governance tools provide model risk management, enabling organizations to monitor, validate, and report on model performance efficiently.