TruEra

Aporia helps artificial intelligence and machine learning teams with model productization. The company provides a monitoring platform for machine learning to address concept drift, data integrity issues, and retraining insights.

Robust Intelligence builds products that integrate seamlessly into the AI development life cycle to ensure robustness and reliability. Its customers include technology companies, financial institutions, and government agencies.

Superwise.ai’s AI assurance platform includes performance management, bias detection, explainability and AI analytics capabilities. The platform gives business leaders a direct view into what’s happening in their AI models and why, and also offers proactive actions and recommendations to optimize the model’s behavior for better performance and outcomes.

WhyLabs is an AI observability platform for model monitoring and data monitoring that scales to support massive data. Built for practitioners, by practitioners.

ArthurAI partners with the companies in industries such as financial services, insurance, and healthcare to develop and deploy enterprise-grade artificial intelligence (AI) systems. It specializes in centralized AI monitoring and explainability and helping businesses build and maintain control over production AI.

NannyML develops an AI-monitoring platform designed to detect data drift, concept drift and estimate possible model degradation. The company's system measures the performance of the AI models in production, automatically lets the user know when their AI models are failing and offering a deep and intuitive understanding of how the AI models make decisions and those change over time, enabling decision-makers to monitor the decisions that AI takes and make their business decisions accordingly.