Hybrid AI for Defence and Aerospace
Hybrid AI that routes every request. Private models in your own cloud, data centre or air-gapped network for drawings, maintenance records, programme contracts and export-controlled technical data. Leading managed models like Claude or GPT for public regulations, airworthiness directives, tender notices and industry news. Answers that reason like your engineers and inspectors, at a cost you can forecast.
Built for
Defence and aerospace AI rarely fails for lack of good models. Control breaks down for five reasons, and most primes, suppliers and MRO shops recognise at least one of them.
Reason 1Shadow AI
Specifications, supplier emails and non-conformance reports get pasted into public chatbots because the approved tool is too weak or too slow.
The cost: An IP and possible export-control breach you can’t see or audit.
Reason 2Stalled Pilots
Security officers, export-control rules and customer contracts won’t let technical data leave your systems, so AI stays on marketing copy and public documents.
The cost: You pay for AI that never touches the work that matters.
Reason 3Generic Output
General-purpose models ignore your design standards, maintenance history and lessons learned, so engineers redo what comes back.
The cost: The time AI was meant to save disappears in the rework.
Reason 4Runaway Cost
Work orders, sensor logs, inspection images and supplier documents arrive around the clock across fleets and programmes. Per-token pricing turns every event into a cost finance can’t forecast.
The cost: The more programmes you win, the less you can afford to automate.
Reason 5Audit Scrutiny
Primes, defence ministries, airworthiness authorities and auditors now ask how AI shaped a finding, a release or a proposal, which data it saw and who approved it.
The cost: Untraceable AI puts approvals, certifications and contract awards at risk.
Aegironix keeps technical, programme and export-controlled data private, uses Claude or GPT only where it helps, reasons like your engineers, and turns runaway token spend into a cost you can plan.
See how hybrid routing worksTier-1 supplier or MRO provider? The same five problems show up with a twist: every customer’s drawings, fleet data and programme terms must stay separate, and primes and operators audit how you use AI. See the suppliers and MRO page.
Hybrid AI is the core of Aegironix. Every request passes a policy check before any model sees it. Technical data, maintenance records, programme files and export-controlled documents run on LLMs on GPUs in your own cloud, data centre or air-gapped network, with no per-token fees. Work with no controlled data, such as public regulations, airworthiness directives, tender notices or industry news, can use Claude or GPT, billed per token for that share only. When in doubt, it stays private.
A RequestFrom an engineer or system
Policy CheckControlled data?
Private Where It MattersLLMs on GPUs in your cloud or on-premise
Managed Where It HelpsPer token, public work only
One AnswerLower cost per answer
Drawings, specifications, maintenance records, programme contracts and export-controlled files are handled only by open-source models you control. When in doubt, a request stays private.
Managed models such as Claude, GPT or Grok read public regulations, airworthiness directives, tender notices and industry news without ever seeing your data. You pay per token only for this share of the work.
Routine work such as work-order triage and document checks is handled by small, fast models. Large models are reserved for root-cause analysis and complex drafting.
| Task | Route | What the Model Sees |
|---|---|---|
| Engineering drawings and specifications | Private AI | Drawings, CAD metadata, specifications and design standards, with export-control markings respected |
| Export-controlled technical data | Private AI | ITAR, EAR and EU dual-use technical data, with access limited by programme, licence and nationality rules |
| Maintenance and MRO records | Private AI | Work orders, task cards, defect reports and component histories |
| Quality and non-conformance | Private AI | NCRs, concessions, first article inspections and supplier corrective actions |
| Programme contracts and proposals | Private AI | Contracts, pricing, bid documents and customer requirements |
| Test and sensor data | Private AI | Flight-test, engine-health, qualification and production sensor data |
| Inspection images and video | Private AI | Borescope, NDT and production-line imagery, processed on edge GPUs; never sent to a managed model |
| Supply chain and obsolescence | Private AI | Part numbers, supplier ratings, lead times and obsolescence notices |
| Public regulations and guidance | Managed AI | Published EASA, FAA and national rules, standards news and official guidance, never your data |
| Airworthiness directives | Managed AI | Public directives summarised; the mapping to your fleet runs privately in your cloud |
| Tenders and market research | Managed AI | Public tender notices, defence budgets, contract awards and industry news, never your bids |
See how Aegironix answers: an engineer asks, and every answer separates observation from interpretation, states its confidence, cites your own SOP and shows which side of the hybrid route handled it.
Non-conformance report from your quality system
Private AIControlled data: stays in your infrastructure
| Field | Value |
|---|---|
| Part | Titanium bracket, P/N 7A-2210-03 |
| Defect | Bore diameter over tolerance |
| Affected | 38 of 120 parts |
| Recent change | New cutting tool, week 36 |
What is the likely root cause, and what should we do with the batch?
Repeat crew report on an aircraft in your fleet
Private AIControlled data: stays in your infrastructure
Why does this keep coming back, and what does our procedure require?
Engineering note waiting for export classification
Private AIControlled data: stays in your infrastructure
Pre-classify this document and suggest the access list.
Draft response to a customer request for proposal
Private AIControlled data: stays in your infrastructure
| Field | Count |
|---|---|
| Requirements | 412 |
| Answered in draft | 371 |
| No answer yet | 29 |
| Conflict with standard terms | 12 |
Where is our draft non-compliant, and what can we reuse?
Last-time-buy notice for a component in several programmes
Private AIControlled data: stays in your infrastructure
| Field | Value |
|---|---|
| Component | Power regulator, P/N PR-5521 |
| Last-time buy | 30 June 2027 |
| Used in | 3 programmes, 11 assemblies |
| Stock | 1,240 units |
How exposed are we, and what are our options?
Public regulations, directives and funding calls this month
Managed AIPublic sources only: managed model allowed
What changed this month that affects us?
Illustrative examples with synthetic data. These are not real parts, aircraft, programmes, customers or model output; they show the format of Aegironix’s answers. Document names and sections are examples of your own procedures.
Special Focus: Inspection Vision
MRO shops, production lines and test cells already record borescope video, NDT scans and inspection photos, and most of it is reviewed once and archived. Vision-language models now turn that imagery into findings you can search, compare and trend: nicks on blade edges, composite indications, missing fasteners, foreign objects. Because the imagery shows your products and your customers’ assets, Aegironix runs it only on private models at your site edge.
Illustrative example with synthetic data. A certifying inspector reviews each finding before any decision.
Imagery is processed on GPU servers on site or in your own cloud. It is never sent to a managed model, and raw footage never leaves your infrastructure.
No facial recognition and no scoring of individual technicians or inspectors. Faces can be blurred at the source, and retention follows your own policy.
Detections are suggestions for your inspectors and certifying staff. Designed to support EASA Part 145, AS9100 and EU AI Act obligations, with documentation for your DPIA and works council.
General-purpose assistants give every company the same answers. As more engineering, maintenance and proposal work passes through AI, the design know-how that sets your business apart becomes available to anyone with a subscription.
| Aspect | Generic AI | Aegironix |
|---|---|---|
| Learns from | Public data, the same for every customer | Your drawings, design standards, maintenance history, lessons learned and procedures |
| Reasons like | The vendor’s house style | Your engineers, inspectors and export-control officers |
| Judged by | The vendor’s benchmarks | Your experts, on real findings, work orders and proposals |
| Improves | When the vendor updates everyone | Every time your engineers review an answer |
| Uses | One vendor’s model for everything | Private models for controlled data, managed models where they help |
| Runs on | The vendor’s servers | Your own cloud, data centre or air-gapped servers |
Your Competitor Can License the Same Model Tomorrow. They Can’t License Your Designs, Your Fleet History or Your Engineers’ Judgement.
Your programmes, your AI.
Its knowledge, reasoning and quality standard come from your engineers. Nothing you build trains anyone else’s model.
Controlled by design.
Every model that sees technical, programme or export-controlled data runs in your cloud, on-premise or air-gapped. We operate the platform without any access to your data.
Ready for auditors and authorities.
Experts rate answers on real findings and documents, every answer cites its source, and every change is versioned and tested. A change goes live only when it meets your standard.
The strongest model for each task.
Private models for controlled data, Claude or GPT for public research. Agentic RAG pulls in the exact manual section or contract clause. New models are adopted only after testing on your data.
Costs less as programmes grow.
Small models first, capacity that follows your shifts and test campaigns, and no per-token fees on controlled work. Managed AI is paid for only where it earns its place.
A complete hybrid AI stack, operated for you. Each capability runs where it belongs: private for controlled data, managed where public sources help.
Several large models on call, each chosen per task, so no single model or vendor limits your work.
Private + ManagedFast, efficient SLMs handle routine work first, such as work-order triage and document checks, keeping each answer quick and low-cost.
PrivateModels tuned on your procedures, report templates and approved engineering language, so answers use your company’s own terminology.
PrivateSupervised agents gather drawings, test results, NCRs and contract requirements into one working draft, such as an 8D report, a compliance matrix or a certification data package, with an expert approving each outcome.
Private + ManagedAnomaly detection over engine-health, test-rig and production sensor data plus MES and maintenance events, connected read-only through APIs, historians or your MRO system.
PrivatePublic regulations, airworthiness directives, standards news, tender notices and defence budgets, read from public sources and kept current.
ManagedBorescope, NDT and production-line checks, trained on your own findings and checked against your inspectors’ decisions.
PrivateDrawings, specifications, maintenance manuals, certificates of conformity and scanned task cards read accurately, with low-quality pages flagged for review.
PrivateModels run on GPU servers in your hangars, plants and secure facilities, including fully disconnected networks when security requires it.
PrivateGovernance built in from day one, the way controlled engineering and airworthiness processes already run.
PrivatePrivate runs in your cloudManaged public sources onlyPrivate + Managed routed per request
Every AI workload has a break-even point. Below it, paying per token is cheaper; above it, owned capacity wins. Aerospace never stops: work orders, sensor data, inspection images and supplier documents arrive around the clock across fleets and programmes, so much of it crosses that line early. Aegironix puts each workload on the right side of the line, and moves it when it crosses.
Illustrative. Monthly cost (vertical) against monthly usage (horizontal); dots mark each break-even point.
At very low volumes, pay-per-use can be cheaper. Our break-even calculator shows where your organisation sits. Cost is one reason for hybrid AI, not the only one: customer contracts and export-control rules often justify private AI before the numbers do.
Building hybrid AI for your operations yourself means hiring a team, building a platform and passing IT, security and customer reviews before a single engineer benefits. With Aegironix, you skip straight to the part that matters: your engineers using it.
Your private environment is running in hours, while a build-it-yourself project typically spends its first months on hiring and infrastructure. A supervised pilot with your experts follows within weeks.
No AI engineers, MLOps specialists or GPU experts to recruit in one of the tightest talent markets. Your IT team stays focused on the PLM, ERP and MRO systems it already runs.
Upgrades, monitoring, scaling, security patches and model releases are handled around the clock. No infrastructure for your team to babysit.
Illustrative comparison of typical phases. Your timeline depends on scope and your own review processes.
XePlatform is our production AI operations platform, already running private and managed AI side by side inside customers’ own cloud accounts. Underneath is platform engineering on Kubernetes: a wide ecosystem of interconnected open-source tools for model serving, scaling, observability and security, integrated, tested and operated as one platform. Aegironix is the defence and aerospace product built on it, so the engineering underneath is proven before your first pilot begins.
Most operations start with one of these workflows. Every answer shows where it came from and which route handled it.
NCRs analysed against your procedures, past concessions and production records, so quality engineers reach an approved 8D faster.
Repeat defects traced through work orders and component histories, with the approved maintenance data cited for the certifying engineer.
Customer requirements checked against your draft, answer library and bid policy before the bid review.
Technicians, inspectors and engineers ask in plain language and get the exact step from your approved procedure, with the section cited.
Aegironix supports engineering, quality, maintenance, export-control and bid work. It does not make decisions: a qualified person reviews every output, and nothing is released, certified, classified or sent to a customer automatically. Aegironix is not designed or offered for weapons targeting or engagement decisions.
Explore workflows, example outputs and team scenariosYour teams work with Aegironix inside your own cloud account, data centre or air-gapped network. We run the platform from outside, with no access to what is inside.
Technical, programme, maintenance and export-controlled data: never, including prompts, outputs, documents and logs. Operational health metrics: only these, which you can inspect or switch off, and none at all in air-gapped deployments. Managed AI: only the public sources and public-only tasks you route to it, under a monthly cap you set. See the full data-flow breakdown.
Start with one workflow, often one quality team or one MRO line. Your IT, security, export-control and compliance teams review in parallel, with documentation we supply.
Aegironix is installed in your cloud account, data centre or air-gapped servers, in the region you choose, in Europe or North America.
Procedures, manuals, design standards and contracts are indexed, each source traceable. PLM, ERP, MRO and quality systems are connected read-only. You choose which tasks may use managed AI.
Engineers and inspectors use Aegironix on real findings, work orders and documents, in parallel with today’s process, and rate every answer.
The configuration your engineers and quality leads approved goes live. Rolling back takes one step.
Defence and aerospace companies rightly ask for proof. Here is what you can inspect before you decide, and what your pilot hands you at the end.
No per-token fees for controlled work, however many drawings, work orders and documents you process. Estimate your break-even point with our calculator.
Before the pilot starts, we record how your team works today. Then we measure the difference.
About hybrid, private and managed AI for defence and aerospace.
Hybrid AI uses different models for different tasks. In Aegironix, anything involving drawings, specifications, maintenance records, programme contracts or export-controlled technical data stays on private, open-source models in your own cloud, data centre or air-gapped network, with small models answering first and larger models when needed. Tasks with no controlled data, such as tracking public regulations, airworthiness directives, tender notices or industry news, can use managed models such as Claude, GPT or Grok.
Private-only means your teams miss out on the most capable models for public research. Managed-only sends technical and programme data to a vendor, raises export-control questions and bills every work order, report and document by the token. Hybrid gives each task the right model: control where it matters, frontier capability where it helps, and the lower cost for each workload.
No. Every request passes a policy check before any model sees it. Anything involving technical, programme, maintenance or export-controlled data, or where the check is unsure, stays private. You decide which task types may use managed AI at all, and you can switch it off entirely, which is the default in air-gapped deployments.
No. Aegironix works on top of the systems you already run. Your PLM, ERP, MES, quality and maintenance systems stay the systems of record; Aegironix reads from them and helps your teams analyse, summarise and draft, grounded in your own procedures, manuals and design standards.
No. Aegironix is decision support with human oversight. Your systems are connected read-only; nothing is released to service, certified, classified, filed or sent to a customer; and a qualified person reviews every output and makes the decision. Aegironix is not designed or offered for weapons targeting, engagement or other use-of-force decisions.
Aegironix is designed to support your export-control programme. Controlled technical data is processed only on private models in infrastructure you choose, access can be limited by programme, role, nationality and licence, and every access is logged. Classification and licensing decisions stay with your export-control officers, and compliance depends on how your organisation configures and uses the platform.
Aegironix can be deployed fully on-premise and disconnected from the internet, with managed AI switched off and updates delivered through your own secure transfer process. Use with classified information requires accreditation of the environment by your national security authority; we provide documentation to support that process.
No. Inspection vision detects findings such as blade damage, composite indications, missing fasteners and foreign objects, not identities. There is no facial recognition and no scoring of individual technicians or inspectors; faces can be blurred at the source, and imagery is processed only on private models in your own infrastructure. We provide documentation for your data-protection impact assessment and works council.
In Aegironix, sovereign or private AI is the part that handles controlled data. The models run inside your own cloud account, sovereign cloud, data centre or secure facility, under your control, instead of on a vendor’s servers. Aegironix delivers it as an operated platform, so defence and aerospace companies get the benefits without building an AI team.
Running AI on controlled technical data is far more than provisioning a server with a GPU. It needs infrastructure provisioning as code, model serving, retrieval over your own procedures and manuals, connectors to PLM, ERP and maintenance systems, access control by programme and licence, staging environments, release engineering with evaluation gates and rollback, observability, autoscaling, backup and security policy, all kept running every day. Aegironix delivers that complete stack, built on XePlatform, inside your own infrastructure and operated for you, so a supervised pilot can start within weeks without new hires.
Aegironix is designed to support obligations under NIST SP 800-171, DFARS 252.204-7012 and CMMC for controlled unclassified information, NIS2, GDPR, the EU AI Act for civil and dual-use applications, AS9100 and EN 9100 quality management, and EASA Part 21 and Part 145 organisation requirements. Controlled data is processed only inside your own infrastructure, every request and approval is logged, and we provide documentation for your risk assessments and audits. Compliance itself depends on how your organisation uses the platform.
Open-source general, vision and time-series models run inside your infrastructure for all controlled work, alongside your own engineering and reliability models. New models are adopted only after they pass evaluation on your own data. Managed models such as Claude, GPT or Grok are used only for tasks with no controlled data.
On the major public or sovereign clouds in the region you choose, in Europe or North America, in your private cloud or data centre, or on GPU servers in hangars, plants and secure facilities, including disconnected networks. It is built on open standards so you can move without rebuilding.
A fixed platform subscription plus your own infrastructure costs, with no per-token fees for controlled work. Managed AI is billed per token only for the tasks you route to it, under a monthly cap. Small models first, capacity that follows your shifts and test campaigns, and shared hardware keep the cost of each answer low, which matters when work orders, sensor data and documents arrive around the clock.
The environment is set up in hours and your procedures and manuals loaded within days. A supervised pilot with your engineers typically runs about four weeks, while your IT, security, export-control and compliance teams complete their review in parallel.
A task-by-task guide to routing engineering, maintenance, export-control and tender work between private models in your infrastructure and managed models such as Claude or GPT.
Read articlePasting a drawing into a chatbot can be more than a policy slip. What engineers, security officers and export-control teams should know before AI touches technical data.
Read articleIf every aerospace supplier uses the same assistant, the design judgement and fleet experience that set a strong one apart start to disappear.
Read articleExplore a supervised pilot using your own engineering data, documents, infrastructure and evaluation criteria. Tell us the workflow that costs your engineers the most time.