Genesis shows the steps. EON Universal understands the work.
A composable equipment ontology that turns a green technician into the equivalent of a multi-year expert – recognizing line-replaceable units on sight, composing the correct task, and carrying that understanding from the training centre onto the line.
Component Classes
Subcomponents · Level 2
Of real maintenance interactions
ATA iSpec chapter taxonomy
Across line and base maintenance, the licensed engineers who hold decades of judgment are retiring, and the shortage of B1/B2 and A&P technicians is widening. The technicians replacing them are green, in a domain where being wrong is an airworthiness and escalation problem, not an inconvenience.
Industry has poured money into content: bespoke courseware modelled by hand for one aircraft type, obsolete the moment the fleet or configuration changes. Every new type is a new modelling effort, and the permutations are effectively infinite. The work is treated as an endless list of types to memorise.
A worker should be able to walk up to an LRU they have never seen and still do the job correctly.
The worker is green. The guidance is not.
Effort plotted against the number of aircraft types you cover.
Enumeration model every type
Composition model the vocabulary
You don’t model every aircraft type. You model the components every type is built from.
EON Universal is a facility-agnostic field-intelligence layer for aviation maintenance, repair and overhaul. It understands aircraft components at the level of process intelligence – not merely the steps of a procedure – and uses that understanding to make a green technician perform like a licensed hand.
Names every LRU on sight and links the real system to its digital twin. The green worker points; the library identifies.
Composes the correct task conditional SOPs that branch on live conditions, with safety gates that stop the job.
When the library is unsure, it stops and hands off to a human. Judgment is never faked; uncertainty is surfaced.
In aviation maintenance, roughly 50 component classes cover the overwhelming majority of line work. About 15 of them carry most of the daily value – together the core library accounts for more than 80% of real maintenance interactions.
The library is built on ATA iSpec 2200, aviation’s own system-numbering standard and the de-facto taxonomy for every maintenance manual. When EON Universal recognises a component, its output maps straight into the AMM task, the part number, and the operator’s MRO / M&E records. It speaks their data language on day one.
Core LRUs a technician touches – 80%+ of line tasks.
Variants by type & effectivity – rarely surprised.
Maintainable items: seals, bearings, bushings, fasteners.
A class name is a label. Understanding is a structure. Explore the six layers EON Universal carries for a single class – here, the part that stores the energy a technician must respect, the hydraulic accumulator.
The ATA chapter, part number, and common aliases. This is how the system names what it sees.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
A 3D GLB twin plus multi-angle imagery, so the component can be recognised and rendered from any viewpoint and matched to the real unit on the airframe.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
Subcomponents and the boundary of the asset: what is part of it, and where it ends.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
What the component does and its operating envelope – stores hydraulic energy and dampens pressure surges, maintaining system pressure within its precharge and rated-pressure limits.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
How it responds to upsets and abnormal conditions. The gas precharge keeps fluid pressurized after the system is shut down, it holds pressure when everything else reads zero; it responds to precharge loss and bladder rupture. This is the layer that makes guidance safe.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
How to operate, inspect, isolate, and fix it – expressed as composable steps rather than a single fixed script.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
EON Universal does not replace Genesis, EON’s production engine that turns SOPs and ordinary photographs into interactive simulators. Genesis is the on-ramp; Universal is the understanding layer that sits on top. The boundary is exact.
| Genesis - the core engine | EON Universal - intelligence + library |
|---|---|
|
Needs 3D models supplied to it |
Brings the component library and the configurator |
|
Runs sequential SOPs only not conditional |
Authors conditional SOPs that branch on live conditions |
|
Knows what to show, but not why |
Explains why each step matters |
|
Cannot configure different capabilities |
Generalises to LRUs and types it has never seen |
|
Does not recognise equipment in real life |
Recognizes equipment on sight – feeds Field IQ + Holodeck |
How it’s built
The pyramid – layer by layer. You cannot skip a level.
The lower layers understand components, not aircraft type – which is exactly the bridge to a universal, facility-agnostic solution.
Use everything on the line – the eventual goal.
Standard AMM tasks applied on the foundation.
Must-know basics – especially safety.
Every component identified and tagged.
An accurate model – the base of everything.
A fixed SOP is a straight line. A conditional SOP is a decision tree with safety gates – removing a hydraulic component on the airframe.
Isolate the system; apply tag.
Confirm system pressure at zero.
Accumulator · landing-gear strut.
Bleed the accumulators down, then loop back and re-check until safe.
Stored energy released proceed to remove the component.
Anything abnormal stops the job and hands off to a human for verification – gated by EON Verdict.
The “stored pressure still present?” branch only exists because EON Universal knows, from the component’s Behavior layer, that a hydraulic accumulator holds pressure after shutdown and a charged landing-gear strut stores energy. Genesis has no concept of stored pressure, so it cannot branch on it. A conditional, safe procedure is something only a system that understands the equipment can author. The capability isn’t bolted on, it falls out of the understanding.
AR-only practice at 1:1 scale, off-base, with no aircraft on the dock. Repetition becomes free.
LiDAR overlays the digital twin onto the real aircraft; every LRU is tappable, guidance anchored to the airframe in front of the worker.
LED walls and floor surround the trainee in a generated bay at full scale – a modern, reborn iCube. – premium delivery tier
50 classes × 5 images = 250 production images → reconstructed into 50 GLB twins. The recurring primitives nozzles & ports, valves, shafts & rotors, motors & gearboxes are understood once and inherited by every assembly that uses them.
Six knowledge layers per object.
4 ortho views + 1 cutaway.
Multiview → GLB mesh.
Drop the GLB into its slot.
The component turns & speaks.
Models, labels, and runs step-by-step SOPs. Capture flows up the stack.
Adds the library, the configurator, and recognition. It understands the work.
Field recognition, on-the-spot guidance, immersive scenarios. Delivery flows back down.
Usage feeds the shared library; the asset improves with operation rather than depreciating.
Recognize, infer topology, compose – no per-type rebuild required.
A bounded asset on your balance sheet, not a per-type modelling cost that recurs forever.
General-purpose AI models are a commodity that everyone rents. No foundation model can learn how your fleet runs, because that knowledge has never left your sites. EON Universal turns that proprietary know-how into a structured, owned, compounding asset – the durable advantage as AI absorbs the commoditized work around it.
Because it understands components rather than memorising aircraft, the same engine transfers to any industry built from a finite parts vocabulary. Aviation shares the composition logic proven first in oil and gas. Learn the parts once; help every asset built from them.
ISO 14224 · 50 classes · 350 subcomponents
~40–60 core classes · same method
High-regulation, high-value part taxonomy
Devices & equipment · same composition logic
A single high-value system, a hydraulic or landing-gear family, and a defined set of AMM tasks, proving the recognise–guide–escalate loop on your own configuration and data.
Class by class along the ATA-chapter vocabulary; delivery expands across phone, tablet-on-the-airframe, and the CAVE.
Records align with ATA iSpec 2200, so outputs map into existing MRO and M&E systems from day one.
