Domino Data Lab

Founded by Nick Elprin in 2013

Build, deploy, and govern AI models across large enterprise teams

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You can use Domino Data Lab to manage the full lifecycle of AI and machine learning models — from development to production. Data scientists get access to any coding language, framework, or compute environment they need. Teams can collaborate on experiments, reproduce results automatically, and deploy models as governed applications. IT and compliance teams get audit trails, policy enforcement, and cost controls. It's used in life sciences, financial services, and defense for high-stakes AI work.

What Domino Data Lab does

Deploy a trained model to production without rewriting any application codeSet up reproducible environments so any team member can re-run an old experimentDefine and enforce data governance policies across all model development projectsMonitor models in production for drift, quality, and compliance violationsGive data scientists self-service access to GPU and cloud compute resourcesGenerate audit trails for every model decision for regulatory reviewCollaborate on shared model development projects across global teamsIntegrate coding assistants with full traceability into the development workflowAutomatically captures every experiment, model, and decision for full reproducibility without manual effortDeploy models as governed applications to thousands of users without rewriting codeSingle environment supports SAS, R, and Python for clinical trial and regulatory submissionsDefine compliance policies once and enforce them across the entire AI lifecycleBuilt-in model risk management with full audit trails for financial and regulated industriesSupports agentic AI design with any framework, deployed as governed appsCoding assistants with built-in traceability and governance attached to everything they generateCentralized governance center with cost visibility, quality control, and auditability