What makes Domino a mission-ready AI platform?

Domino supports classified, hybrid, and air-gapped environments while enabling reproducible, secure MLOps pipelines across the DoD’s data science lifecycle.

How does Domino help reduce time-to-mission?

Domino automates deployment, reduces time from experimentation to operational use, and supports model delivery across secure, distributed defense environments.

Skip to main content

Who is Domino?

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.

Watch Demo

Mission-ready data science and MLOps for the department of defense

Operationalize Al to modernize defense

Mission-ready data science and MLOps for the DoW

Get the white paper Watch a demo

As the Department of War (DoW) advances toward a software-defined future, the ability to operationalize AI at speed and scale is a strategic imperative. Mission success increasingly hinges on the rapid development, deployment, and governance of AI models that can drive real-time decision advantage across domains — from underwater detection to space-based surveillance.

Key challenges for deploying AI initiatives in DoW environments

Siloed systems and legacy infrastructure

Overcoming siloed systems — technology platforms, databases, and communication networks — is vital for maintaining a technological edge in rapidly changing defense environments.

Complex, mission-driven AI workflows

Developers must ensure interoperability amongst joint forces while balancing speed, security, and accuracy in combat and operational scenarios.

Stricter governance

Models must adhere to evolving DoW governance policies and regulations that are tailored to different operational contexts; poorly governed DoW applications can pose existential threats.

Resource constraints and workforce challenges

DoW must find and compete for top AI talent and domain-specific expertise — and data scientists depend on a wide variety of software tools that require constant versioning and updates.

MLOps for mission-driven scalability

Top factors that raise MLOps performance to DoW standards

Seamless integration

Ability to leverage existing, potentially disparate systems, legacy infrastructure, fragmented data, and a variety of cloud environments.

Customizable, flexible governance

Support for quickly integrating changing policies and missions.

Open and adaptable technologies

Seamless compatibility with tools that empower developers and prevent vendor lock-in.

Best MLOps practices optimize four phases of the full data science lifecycle

Get the whitepaper

Accelerating AI for Defense

U.S. Navy case study

Learn how the U.S. Navy makes mine detection intelligence more trustworthy with Domino.

Read now

Spearheading advanced AI for the DoW

Domino powers the Navy’s Project AMMO with scalable AI under the DoW APFIT award for faster mine detection and mission success.

Read now

From data to decisions: How MLOps is reshaping warfare

Read the latest report from the Atlantic Council’s Commission on Software-Defined Warfare

Access the report

How Domino automates the CDAO AI test and evaluation framework

Learn how Domino helps meet CDAO AI mandates with secure, scalable delivery—even in air-gapped environments.

Read now

Scale AI impact across domains, missions, and rotations

Domino empowers DoW agencies to transform fragmented experimentation into governed, repeatable AI pipelines. Built for classified, hybrid, and air-gapped environments, Domino delivers the infrastructure flexibility, workflow automation, and system of record needed to ensure AI progress is secure, reproducible, and sustainable.

Reduce time-to-mission from months to weeks
Retain institutional knowledge across rotations and reorganizations
Apply disciplined, scalable MLOps to the entire data science lifecycle
Deploy trusted models directly into operational systems
Deliver support from tactical edge AI to strategic modernization initiatives — Joint All-Domain Command and Control (JADC2)

Domino helps make our mine detection intelligence faster and more trustworthy — without compromising control.

U.S. Navy

U.S. Navy program lead

Read the case study

With Project AMMO, this team showed how a modern, scalable commercial AI pipeline is a force multiplier for decision-makers to trust and act on field-generated intelligence. This award demonstrates how APFIT is an invaluable tool allowing us to scale what is working and shows the importance of commercial innovation in delivering operational AI for better outcomes sooner in national defense.

Justin Fanelli

Chief Technology Officer, Department of the Navy

Read the press release

I'm proud our warfare community could be the pathfinder and exemplar for machine learning ops, tooling, and processes that will improve many other Navy and joint service warfighting capabilities in the age of artificial intelligence.

Commodore Shaun Lieb

Commander, Task Force (CTF) 75

Read the case study

It's highly encouraging to see Domino, the Navy, and DIU partnering to rapidly field commercial tech sector capabilities in order to deter conflict.

Bobby Kinney

Brigadier General, United States Air Force (Ret.)

Read the case study

Swipe

Start your mission-ready data science and MLOps journey

Get in touch Watch a demo