Domino

Domino is an enterprise MLOps and AI platform designed to help organizations build, deploy, manage, and monitor data science and machine learning workloads at scale. It provides a centralized, governed environment where data scientists, ML engineers, and analysts can collaborate using their preferred tools, languages, and frameworks, including Python, R, and popular libraries such as TensorFlow, PyTorch, and scikit-learn. Domino offers reproducible research environments, versioned projects, and automated experiment tracking, enabling teams to reliably compare models and trace results back to exact code, data, and configuration.

The platform supports on-demand, containerized compute across Kubernetes, cloud, and on-premises infrastructure, optimizing resource utilization while maintaining IT control and security. Integrated model deployment capabilities allow users to publish models as APIs, batch jobs, or interactive apps, with built-in monitoring for performance, drift, and compliance. Domino also includes role-based access control, audit trails, and policy enforcement to meet regulatory and governance requirements, especially in industries such as pharmaceuticals, financial services, and the public sector. Typical use cases include drug discovery and clinical analytics, risk modeling and fraud detection, demand forecasting, and mission planning, where reliable, scalable, and governed AI workflows are critical to business and operational outcomes.