Company

Enterprise AI built for the real world

Domino helps regulated enterprises turn AI from scattered experiments into a governed, repeatable business function—so they can innovate faster, safer, and at scale.

Our mission

To help the world’s most important institutions safely accelerate innovation with AI.

Why we exists

Enterprises in life sciences, financial services, public sector, and other regulated industries face enormous pressure to deliver AI impact—but run into governance gaps, siloed tools, and infrastructure chaos that stall progress. Pilots don’t scale. Models get stuck in review cycles. Risk, IT, and data science teams struggle to align.

Our vision

AI doesn’t scale by accident. It scales when organizations can reliably develop, govern, deploy, and reuse it across teams and environments.
We envision a future where every enterprise has the transparency, control, and repeatability needed to make AI a trusted, business-critical capability.

Trusted by leaders across industries

Our story

Domino was founded on a simple idea: enterprises would need a better way to operationalize data science. Not just tools to build models—but a foundation to govern, reproduce, deploy, and scale them across teams and systems.

What began as a data science platform has evolved into the leading Enterprise AI Platform for regulated industries. Today Domino powers critical research, financial systems, and mission-driven operations across the world. Our work helps accelerate medical breakthroughs, improve financial stability, strengthen national security, and fuel innovation across industries.

We’re proud of how far our customers have come—and we’re just getting started.

Enterprises around the world rely on Domino

Moderna
63%

reduction in compute costs with Domino and AWS Karpenter

vevo
10%

improvement in ad effectiveness and revenue

12x

improvement on ML model deployment time

Awards and recognition

Guides and reports

2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms

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Guides and reports

Domino Data Lab expands focus to offer flexibility for data scientists and control for IT

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News and press

October 15, 2025

Q&A: Vevo Relies on Data Science for Optimized Ad Experiences

Streaming MediaOctober 15, 2025

October 9, 2025

How Financial Services Companies Can Tackle Model Risk Management and Fuel Innovation in the Age of AI

Financial ITOctober 9, 2025

October 4, 2025

What does it take to merge two insurance giants? Data leader Klaus Rieger explains Baloise's data platform strategy

DiginomicaOctober 4, 2025

Investors

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