Deep-learning solutions for the way aviation actually operates.
Five years applying AI to engineering, supply chain, and operational data for aviation organisations — from material forecasting to full data governance.
Strato Practice overview
- 5+ Years focused on aviation AI
- 5 Integrated areas of expertise
- 30% Typical inventory value reduction
- 100% Target data health index
Why Strato
Aviation expertise, built into every model.
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Aviation-native models
MPD schedules, flight activity, effectivity data — our models are trained on the artefacts your engineering teams already work with.
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AI-powered, not AI-branded
Transformer-based process models, digital twins, and forecasting engines built specifically for each engagement — not a generic dashboard.
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End-to-end engagement
From central HQ to outstations, from one-off assessment to weekly stakeholder tracking — we stay accountable to the outcome.
Five areas of expertise,
one operating model
Each engagement draws on the same core capability: applying deep learning to the operational and engineering data aviation organisations already generate.
Material Forecasting
Demand models built on MPD schedules and live flight activity, covering rotables, hard-time components and consumables alike.
Inventory Digital Twins
Multi-year, part-level simulation of your whole network, stress-tested across operational risk scenarios.
Transformer Process Models
A proprietary transformer maps your processes end to end, separating the routine core loop from the risky branches.
Master Data Governance
Granular, periodic scans tested against your business rules and engineering standards — target, a 100% data health index.
Forecast material demand before it happens
Advanced material forecasting built on MPD schedules and live flight activity, covering both base and line maintenance — with every component tracked for effectivity and applicability.
- Material forecasting from MPD + flight activity data
- Demand models for base and line maintenance
- Automated effectivity / applicability tracking & control
- Custom engineering process automation
Make the platform your team actually uses
AI-powered analysis models and adoption protocols secure compliance at every level of the organisation — from central HQ to distributed outstations. Recent engagements centre on ERP and mobile application integration.
- AI-driven compliance scoring, site by site
- Central and outstation rollout programmes
- ERP integration and workflow alignment
- Mobile application adoption tracking
A digital twin of your entire inventory
We rebuild your organisation as a living digital twin — modelling historical material patterns against future usage from planning and engineering data. Multi-year simulations are stress-tested across risk scenarios to surface shortages, excess, and non-moving stock before they cost you.
- Multi-year inventory simulation at part level
- Stress-testing across operational risk scenarios
- Shortage, excess & non-moving material detection
- Full stratification and continuous monitoring
- Up to 30% reduction in inventory value
Let the model find the bottleneck
A proprietary transformer-based model analyses and maps your operational processes end to end, surfaces inefficiencies, and proposes a sustainable way forward — complete with the KPIs and control plan to keep it on track.
- Transformer-based process mapping
- Root-cause efficiency analysis
- Sustainable redesign recommendations
- KPI framework and control plan
A 100% health index for your master data
A highly granular, periodic scan of your master data — tested against business rules and engineering standards. Part data quality initiative, part continuous tracking protocol, with weekly stakeholder meetings and standing reports to senior management.
- Granular, periodic master data scans
- Business-rule and engineering-standard testing
- Weekly stakeholder tracking meetings
- Continuous reporting to senior management
- Target: 100% data health index
Success stories from the field
Real engagements, reframed as case studies — the same rigour we bring to every client, applied to aviation's toughest data problems.
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Supply Chain Optimisation
A digital twin for a 20-outstation network.
Multi-year inventory simulation, stress-tested 10,000 times, to find shortages and excess before they cost you.
30% Typical inventory value reduction
Read the story -
Engineering Services
Two prediction models, weighted differently.
Scheduled and unscheduled demand don't listen to the same signals — so we built one model for each.
5–8% Operating cost reduction
Read the story -
Operational Process & Efficiency
Teaching a transformer to think like your best planner.
A custom-trained transformer, distilled into a model light enough to run at the gate.
18% Fewer turnaround deviations
Read the story -
Data Governance & Analytics
One graph. Every effectivity answer, with 100% certainty.
Engineering orders, IPC, aircraft and compliance data, unified into a single traceable graph.
100% Aircraft effectivity certainty
Read the story
Let’s work together
Tell us about your challenge and we'll get back to you within one business day — ready to explore how Strato can help.
- Five years of aviation-focused AI practice
- Solutions tailored to your specific operation
- Engagements across engineering, supply chain, and data
- Response within one business day