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Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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Purpose-built tools, native to Domino

Every enterprise function works differently. Extensions put the right tool in context, without waiting for the next release.

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Specialized work requires specialized tools

Shadow AI is the tax on not having them in the right place.

Enterprises need to move as fast as AI

General-purpose tools rarely map to specific workflows or regulated requirements. When the platform can't keep pace, teams build outside it.

Outside tools create security gaps

Every tool outside the platform is a gap in the audit trail. Shadow AI sits outside security controls and systems of record.

The further the tool, the higher the cost

Tools outside the platform have no awareness of project state, data, or user identity. That distance adds maintenance debt and raises total cost of ownership.

Extensions close that gap

Tools that run inside Domino, built on infrastructure your team already governs.

Context-aware

Context-aware by design, not configuration

Extensions surface the right data automatically, based on the user's current project, dataset, and identity.

Governance

Governance without new infrastructure

Extensions inherit Domino's existing access controls, audit logs, and compliance settings. New capabilities, no new oversight tooling.

Admin control

“Embedding our clinical data exploration workflow natively into Domino, in context and with the same governance guarantees as the rest of the platform, produced results in a fraction of the time we expected. Our scientists no longer have to work around the platform to do specialized work.”

VP of Data Science

Life Sciences Enterprise

“With Domino, we expanded our platform using real software engineering discipline, from modular design to regression testing, while staying true to our data science roots. It's helped us scale, save time, and deliver a better experience for users and developers alike.”

Director of Data Science

Swipe

Go further with extensions

Documentation

Domino Extensions Developer Guide

Complete reference for building, configuring, and deploying Extensions across all tiers.

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Blog

Enterprise AI has an extensibility problem. That changes now.

Learn how extensions give data science teams a governed, auditable path to extend Domino around their work.

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See Domino in action

Watch our 15min on-demand demo to get an overview of Domino's Enterprise MLOps platform

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Admin control, centralized and precise

Admins control which Extensions are enabled, who can access them, and where they surface. No IT ticket required.