Operationalize Al to modernize defense

Mission-ready data science and MLOps for the DoW

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Department of Defense
U.S. Navy
Leidos
Carahsoft
NetApp
AWS

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

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Accelerating AI for Defense

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

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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.

Justin Fanelli

LinkedIn

Chief Technology Officer, Department of the Navy

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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.

Commodore Shaun Lieb

Commander, Task Force (CTF) 75

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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.)

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