Operationalize Al to modernize defense

Mission-ready data science and MLOps for the DoD

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Department of Defense

As the Department of Defense (DoD) 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 DoD 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 DoD governance policies and regulations that are tailored to different operational contexts; poorly governed DoD applications can pose existential threats.

Resource constraints and workforce challenges

DoD 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.

U.S. Navy case study

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

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MLOps for mission-driven scalability

Top factors that raise MLOps performance to DoD 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

Manage

Develop

Deploy

Monitor

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Spearheading advanced AI for the DoD

Discover how, Domino, as the prime vendor for the DoD’s Accelerate the Procurement and Fielding of Innovative Technologies (APFIT) award, enables the Navy to continue the success of Project AMMO, rapidly scale advanced AI capabilities to next-gen warfighters, and accelerate development/deployment of rapid undersea mine detection.

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Scale AI impact across domains, missions, and rotations

Domino empowers DoD 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)

From data to decisions: How MLOps is reshaping warfare

Read the latest report from the Atlantic Council’s Commission on Software-Defined Warfare, and discover how MLOps for the DoD:

  • Automates AI model deployment for faster intelligence processing
  • Ensures data-driven decision-making at machine speed
  • Provides continuous learning to adapt to evolving threats
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U.S. Navy

U.S. Navy program lead

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U.S. Navy Mine Detection Case Study

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

Justin Fanelli

LinkedIn

Chief Technology Officer, Department of the Navy

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“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.”

Commodore Shaun Lieb

Commander, Task Force (CTF) 75

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“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.”

Bobby Kinney

LinkedIn

Brigadier General, United States Air Force (Ret.)

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Navy ship

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

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