Domino Data Lab

Domino Data Lab is an enterprise AI platform that unifies the full model lifecycle, from experimentation and training through deployment, monitoring, and governance, in a single, infrastructure-agnostic environment. Founded in 2013, it targets large, often regulated organizations, particularly in pharmaceutical, financial services, manufacturing, and government, where reproducibility, auditability, and model risk management are non-negotiable. Its governance offering rests on three pillars: a visual, template-driven Policy Builder that enforces controls consistently across development and production; a central model registry that ties every model version to its history, metadata, lineage, and dependencies to create an automated audit trail; and automated documentation that generates self-documenting evidence notebooks, model cards, and tamper-evident audit trails to streamline compliance work. Domino can govern models built inside or outside its platform and positions its controls against frameworks such as the EU AI Act and banking model-risk guidance (SR 11-7). Distinctively, it runs across any cloud, on-premises, or hybrid infrastructure, letting risk, compliance, IT, and data-science teams collaborate in a shared, validated workspace rather than forcing a single-cloud lock-in.