CAE Prodigy Image Generator
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CAE
Pilot Training & Simulation Systems

CAE Prodigy Image Generator

Gaming-engine-powered image generator built on Unreal Engine — the first of its kind to achieve Level D full-flight simulator qualification — delivering 8K-capable, physics-based visual environments at up to 120 Hz.

Specs verified against manufacturer documentation
Rendering engine
Epic Games Unreal Engine
Maximum display resolution
8K
Refresh rate
Up to 120 Hz
Pricing
Request a quote for current pricing, lead time and delivery to your airport.

The CAE Prodigy is an image generator (IG) for full-flight simulators that marks a structural break from traditional proprietary rendering pipelines. CAE built Prodigy on Epic Games' Unreal Engine — the same renderer used in high-fidelity real-time applications — and in 2024 became the first aviation simulation organisation to achieve Level D FFS qualification with a gaming-engine-powered IG. That certification confirms the system meets the most stringent regulatory standard for visual fidelity and latency.

Prodigy supports display output up to 8K resolution at 120 Hz refresh rates, enabling collimated, direct projection, and head-mounted display configurations from a single platform. The renderer implements a physics-based atmosphere model with volumetric lighting, real-time shadows, reflections, and specular effects, replacing the pre-baked, manually-authored skyboxes that constrained previous-generation IGs. Urban and geo-typical terrain is populated with AI-generated 3D content at higher density and accuracy than prior systems; geo-specific airport zones are authored separately and integrate seamlessly into the surrounding geo-typical world.

The entity count capability increases by orders of magnitude compared to legacy CAE IGs, enabling realistic ramp traffic, vehicle, and human populations in training scenarios. Integration with CAE True Airport Services keeps airport geometry and markings current, and the CAE Airport Clutter Editor (ACE) lets instructors build and modify traffic scenarios without dedicated content production staff.

For training centres evaluating next-generation IG upgrades — particularly those supporting wide-body operations in complex, high-density airport environments such as those across the GCC — Prodigy's open-engine foundation also reduces long-term content production costs, since asset creation workflows are compatible with the broader Unreal Engine ecosystem rather than proprietary toolchains.

From the manufacturer’s documentation

Technical specifications.

Rendering engineEpic Games Unreal Engine
Maximum display resolution8K
Refresh rateUp to 120 Hz
Display compatibilityCollimated, direct projection, head-mounted display (HMD)
Qualification achievedLevel D FFS (first gaming-engine IG to achieve this)
Lighting modelPhysics-based atmosphere with real-time shadows, reflections, specular effects
Airport dataCAE True Airport Services integration (live updates)
Scenario toolingCAE Airport Clutter Editor (ACE) for traffic and ramp scenario authoring
Best for

Use cases.

  • Next-generation visual system upgrade path for operators running CAE 7000XR or legacy CAE FFS platforms
  • Level D qualified out-the-window environment for type rating and recurrent training under FAA Part 60 and EASA
  • Photorealistic low-visibility, night, and adverse-weather scenario generation for UPRT and approach training
  • High-density airport environment simulation for complex hub operations training (multiple aircraft, vehicles, personnel)
  • Head-mounted display (HMD) integration for immersive spatial orientation training
  • Content production using standard Unreal Engine asset pipelines, reducing long-term IG authoring costs