Viserion builds next-generation computer-generated forces: an AI adversary that adapts its tactics to train your operators against a thinking enemy, not a script.
AI red-force agents that decide and adapt like a real opponent, giving your operators an unpredictable, believable enemy to train against.
A physics-accurate simulation core that runs identically every time, so every scenario is repeatable, reviewable, and ready for reinforcement learning.
Human-in-the-loop scenarios with full after-action review, surfacing gaps in tactics and readiness before they matter in the field.
AI-driven adversarial simulation system that enhances military strategy
Traditional Red Teaming leans on scripted scenarios or a room full of operators. Viserion Red replaces both with AI opponents that run around the clock, scale on demand, and never fight the same way twice.
Run war games across every operational domain in a single environment, so readiness is tested end to end.
Eliminates reliance on pre-scripted scenarios, providing AI adversaries that evolve and adapt dynamically
Reduces the high costs of human Red Teams while offering continuous, scalable training without operational downtime
A tiny taste of what the engine models: deploy SAMs and radars, then watch your IADS auto-engage incoming threats. Endless, escalating waves.
Today's simulation stack wasn't built for AI.
VR-Forces, OneSAF, JCATS
TensorFlow / RLlib bolted on
Custom middleware layer
Manual integration
Deterministic simulation core designed for reinforcement learning from the ground up
Native DIS integration out of the box. HLA interoperability on the roadmap
Air, land, naval, cyber in one unified environment
Direct plug-in to command & control systems
One engine. Deploy in hours.
Layered, sensor-fused air defense modeled inside the engine, from long-range SAM engagement to close-in counter-drone (C-UAS). The simulated doctrine behind the demo above.
Ready to enhance your training simulations? Let's discuss how Viserion can meet your needs.