A new AI-driven platform aims to speed data processing and sharpen decision-making for US government agencies, including the military.
Developed by General Dynamics Information Technology (GDIT), the Defense Operations Grid Mesh Accelerator (DOGMA) leverages AI, machine learning, cloud computing, and satellite links to process and fuse data in real time across widely dispersed environments.
The tech is part of GDIT’s Mission AI portfolio and is designed to scale across different mission needs.
It can run on everything from laptops at the tactical edge to devices operating in low Earth orbit, allowing the same software framework to be deployed across domains.
‘Built Once, Deployed Anywhere’
DOGMA is designed for missions that rely on multi-domain sensing and rapid data fusion.
Across air, land, sea, space, and cyber environments, it can ingest data from legacy and modern sensors and translate it into a single operational picture.
In counter-drone operations, real-time models support adaptive detection, predictive tracking, and automated response options to shorten engagement timelines.
For border surveillance, terrain-aware sensing enables persistent monitoring and early warning in remote or complex environments.
The system can also support humanitarian and disaster response by giving multiple actors a shared view of unfolding events and helping coordinate resources.
In air defense roles, predictive trajectory modeling and automated threat correlation are used to compress parts of the kill chain and strengthen early-warning processes.
Beyond sensing and defense, DOGMA’s machine learning models can be applied to managing tactical microgrids, forecasting power demand, and balancing energy distribution at expeditionary sites.
Trials, Results, and Next Steps
DOGMA has already been tested in recent military and cybersecurity exercises.
During the Technology Readiness Experimentation Event, the platform was used to track unmanned aerial systems, cutting decision timelines from around 30 minutes to roughly 3 seconds.
In the Cyber Fortress 2025 exercise, which simulated coordinated cyber and physical attacks on a power grid, DOGMA provided real-time situational data to support response planning.
Looking ahead, GDIT plans to add quantum-safe encryption, large language model-powered agents to support human-machine collaboration, and broader interoperability across domains and operating environments.
