We engineer training and mission simulation systems for the defence sector on Unreal Engine 5: fighter aircraft desktop trainers, unmanned and FPV environments, avionics and sensor simulation, instructor stations and debriefing. Architected to run standalone, on a closed network, fully offline.
Each environment is engineered around the operational question it must answer, from familiarisation and procedure training to sensor employment, mission rehearsal and capability demonstration.
OWNSHIP · flight dynamics
Desktop-first fixed-wing trainers covering cockpit interaction, flight behaviour, system familiarisation and scenario-based tactical training. Flight dynamics are implemented as a purpose-built C++ layer inside the engine: configurable, tunable with subject-matter experts, and free of third-party simulation licences.
UAV · mission profile
Operational environments for unmanned aerial platforms: ground control interaction, payload and sensor representation, and mission profiles rehearsed against realistic terrain, weather and time-of-day conditions.
FPV · scored training run
First-person-view environments for operator training and evaluation: gated courses, scoring, elapsed and remaining time, speed, altitude and battery state. Low-latency interaction and repeatable scenarios, so operators build and demonstrate skill before airframes are committed.
ASSETS · photoreal terrain & environments
Photoreal platform models, airfields, air-defence systems, environments and effects produced in Blender, Cinema 4D and the Adobe suite, accelerated by AI-assisted workflows for texturing, iteration and content generation at programme scale.
COCKPIT · primary flight & multi-function displays
ENGAGEMENT · air-to-air
DEPARTURE · runway operations
NIGHT VISION
URBAN · low altitude
RECON · sensor view & map overlay
PVI · display framework
FLIGHT MODEL · aerodynamic tuning
Wide-area display pages, HUD and helmet-mounted symbology are built as a display framework rather than one-off screens, so pages can be added, re-laid out and retuned as the programme matures. Interaction is bound to HOTAS axes and key combinations, with per-pilot binding profiles.
Sensor models are parametric and functionally faithful rather than physics-exhaustive: the behaviour a crew must learn, without the cost and risk of full RF modelling.
Line-of-sight detection, terrain masking, radar modes and a parametric track lifecycle.
Post-process imaging with correct WHOT and BHOT polarity for targeting and observation.
Threat warning and situational awareness logic; emitter and alert modelling.
Contributions are presented as a single fused tactical picture, and weapon employment is modelled through a stores management layer: selection, munition envelopes, release logic and symbology.
Presentation is separated from simulation logic, and simulation logic from the rendering engine. Every subsystem reads and writes one shared state layer, so the same logic runs unchanged on desktop and in VR, and remains portable if the renderer ever changes.
MODULES · VR · HOTAS · IOS · sensors · FDM · terrain
CORE · engine platform
The instructor station is not separate software; it lives inside the same application and runs without any network connection. Scenarios, procedures and assessment are content the customer can grow, not code they have to commission.
IOS · scenario, threats & weather
DEPLOYED · desktop, HOTAS & VR stations
Live control of the training environment while the student flies.
Structured training packages rather than one-off missions.
What happened, why, and against whom.
Defence programmes outlive vendors. What we deliver is engineered so the customer owns the capability outright: source, documentation and the ability to extend it without returning to us.
Turnkey delivery with source code and full intellectual property transfer. No licensing model, no revenue share, and no runtime dependency on a proprietary simulation platform.
A complete document set produced alongside the build: requirements, design, interface, test and plan documentation, plus a user manual.
Every phase opens and closes against written entry and exit criteria, agreed before work starts.
Requirements, fidelity matrix and phase-based acceptance criteria are written down and agreed before development begins.
An end-to-end runnable build early: basic flight, input, a working sensor path, so performance and risk are measured, not assumed.
Flight dynamics, displays, instructor station, scenario logic, sensors, weapons and computer-generated forces are layered in against phase gates.
Platform-specific maturation, optimisation, acceptance testing, user training, source code and documentation handover.
Share the platform, the scenario and the audience. We will come back with a view on approach, fidelity level and what a first runnable build should cover.
Enquiries handled confidentially · NDA on request