Question 1

What is military training simulator software?

Accepted Answer

Military training simulator software is purpose-built software that replicates operational environments, adversary behaviors, and doctrine-driven scenarios so that commanders and units can rehearse decision-making without the cost or risk of live exercises. Modern solutions span constructive simulation (virtual entities following scripted or AI-driven logic), live/virtual/constructive (LVC) integration, multi-domain operations across land, sea, air, space, and cyber, and after-action review (AAR) analytics that replay every decision in the OODA loop.

Question 2

What makes WARG different from traditional wargames?

Accepted Answer

Traditional wargames rely on fixed scenario libraries, predictable scripted adversaries, and manual adjudication — all of which limit replayability and training value. WARG uses AI-driven adversary models trained on real doctrine, a procedural scenario generator that produces infinite unique situations seeded from actual operational parameters, and real-time analytics across all five domains. The result: every session presents a genuinely novel challenge, and after-action data is available immediately without manual scoring.

Question 3

Can you build multi-domain scenarios including cyber?

Accepted Answer

Yes. Our simulation engineering team builds fully integrated multi-domain environments covering land maneuver, maritime operations, air operations, space-based asset effects, and cyber operations — including red team attacks, electronic warfare, and SIGINT disruption. Scenarios can run independently per domain or in a coupled multi-domain environment where actions in one domain create cascading effects in others, matching how modern adversaries operate.

Question 4

Do you support after-action review and replay?

Accepted Answer

After-action review is a core deliverable, not an afterthought. We build AAR dashboards that record every unit state, decision point, and engagement outcome with millisecond timestamping, support full scenario replay at variable speed, and generate automated structured feedback tied to doctrine benchmarks. Commanders can step through the blue team and red team timelines side-by-side to identify OODA loop delays, decision errors, and force-employment gaps.

Question 5

Can training simulations include AI-controlled opposing forces (OPFOR)?

Accepted Answer

Yes. AI-controlled opposing forces are a core capability in training simulation systems built by Corvus. OPFOR AI adapts its tactics based on the training unit's behaviour, preventing pattern memorisation and keeping exercises challenging and unpredictable. Difficulty and doctrine can be configured per exercise to match the training unit's skill level and target training outcomes.

Question 6

What technical infrastructure does military training simulation software require?

Accepted Answer

Military training simulation platforms require multi-player synchronisation infrastructure, scenario state management with deterministic replay capability, geospatial rendering for map and domain visualisation, and AI processing for scenario generation and OPFOR behaviour. Cloud deployment on Kubernetes supports scalable multi-session exercise hosting, while on-premise deployment supports air-gapped training environments.

Question 7

Can you build networked multi-unit training exercises?

Accepted Answer

Yes. We build networked training environments where multiple units, commands, or partner forces participate in the same shared exercise. Participants join from separate devices or locations and interact within a synchronized common scenario. Role-based interfaces ensure each participant sees only the information appropriate to their command level and domain responsibilities.

Question 8

How do training simulations generate performance metrics and assessments?

Accepted Answer

Training platforms built by Corvus capture and record all participant decisions and their timing throughout an exercise. After-action review (AAR) tools replay the exercise with annotated decision points, generate performance metrics including response time and decision quality scores, and produce exportable assessment reports for training records.

Question 9

Can training scenarios be customised to unit doctrine and TTPs?

Accepted Answer

Yes. Scenario parameters including force structure, terrain, threat types, and rules of engagement can be configured per exercise to reflect unit-specific doctrine and Tactics, Techniques, and Procedures. Custom scenario libraries can be built for recurring training programs, and scenario difficulty can be progressively calibrated as unit proficiency develops.

Question 10

How do we start a training simulation development project with Corvus?

Accepted Answer

Contact us with your training objectives, target platforms, exercise types, and integration requirements with existing training infrastructure. We scope simulation projects from an initial requirements workshop through system design, development, and user acceptance testing. Reach us via the form on this page or at contact@corvusintell.com.

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