Domino Data Lab is an enterprise AI platform for building, deploying, and governing ML and AI models at scale, with tools for model development, app…
Domino Data Lab is an enterprise AI platform designed to help large, regulated organizations build, deploy, and govern AI and machine learning models at scale. Founded in 2013 and based in San Francisco, Domino organizes its platform around three core pillars: Model Factory, a development environment supporting statistical computing, coding assistants (Cursor, Jupyter, RStudio, VS Code), and agentic AI workflows; App Hub, for deploying AI applications (including Streamlit, Dash, and Shiny apps) to end users at scale; and Governance Center, which provides policy enforcement, audit trails, lineage tracking, and cost visibility across the AI lifecycle. The platform runs on Kubernetes-based infrastructure and can be consumed as a single-tenant SaaS product or self-managed in a customer's VPC or on-premises environment across AWS, Azure, and GCP. Domino is used heavily by regulated industries such as life sciences, financial services, and the public sector, where reproducibility, compliance (ISO 27001, SOC 2, HIPAA, GDPR, 21 CFR Part 11 support), and model risk management are priorities. Customers include organizations like Bayer and Moody's, and investors include Sequoia Capital, Coatue Management, NVIDIA, and Snowflake.