Defense

The Wargame That Teaches You How to Win the Next One

We partnered with a major defense prime to solve one of the most persistent problems in military training: a thousand different simulations, none of them talking to each other, and all of them pretending war happens in a vacuum.

We didn’t build just another 3D map with red and blue units.
We built a brain—a real-time, decision-adaptive environment that learns like an officer, reacts like a strategist, and renders like a video game you actually want to play.

A Unified Battlespace, Built to Think

Using Unity for real-time 3D rendering, we created a common operating picture that ingests terrain, weather, unit type, and infrastructure constraints—all in motion.

So when a river floods, a bridge is blown, or a new air corridor opens, commanders see it live—and more importantly, so does the machine.

ETL with Mage, Real-Time Intelligence with Devii

We used Mage to wrangle fragmented simulation and logistics data across air, land, and maritime systems. Then we piped that clean data into Devii, turning legacy DoD simulation formats into a fast, consumable GraphQL API.

The result? No more babysitting flat files. Just smart, queryable data that could feed Unity in milliseconds.

Real-World Variables? Real-Time Updates.

From AWS Athena, we ran change data capture queries to update our environment on the fly. That included:

Airspace corridor restrictions
Flooded river crossings
Unit composition (e.g., mechanized vs. light infantry)
Live-imported weather data and time-of-day effects

No more “God Mode” war games. This sim respected friction, chaos, and bandwidth.

ML That Doesn’t Just Score You—It Coaches You

Every officer brings baggage to the battlefield: instincts, bias, hesitation. We trained ML models (on SageMaker) to track decision histories, flag bad habits, and suggest better alternatives over time.

Think of it as an AI tactician that doesn’t outrank you, but makes you better.
Hesitate too long at a river crossing?
Consistently over-commit air power early?
The system knows. And next time? You’ll know too.

Hybrid Secure Stack, Built for Defense Reality

We deployed this in AWS GovCloud—but with an on-premise integration for sensitive simulation inputs.

The hybrid stack included:

AWS Snowball Edge for local compute and data ingestion in denied or secure environments
Amazon S3 (GovCloud) for object storage and scenario logging
AWS Lambda for event-driven triggers (e.g., map refreshes on database updates)
Amazon SageMaker (GovCloud) for officer behavior modeling
Amazon VPC + Direct Connect for encrypted communication between on-prem servers and cloud
Amazon CloudWatch for secure system health telemetry

This wasn’t cloud-for-the-sake-of-cloud. This was mission-secure, latency-aware, operator-first architecture—built to survive procurement cycles and produce results by Monday.

From Simulation to Strategic Adaptation

This platform didn’t just prepare officers for war. It trained them to adapt—to evolve in real-time and reflect on their own decisions.

Predictive overlays showed likely outcomes of current decisions
Visual “ghost trails” showed what they could’ve done better
Lessons learned weren’t read in binders—they were felt in the sim

This wasn’t a training tool.
This was a next-gen warfighting cognition system.

Want to take your training simulation from PowerPoint to battlefield IQ?
Let’s build something worth saluting.

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