
The Future of Predictive Maintenance in Short-Haul Fleets
How LLMs are turning technical logbooks into actionable maintenance schedules.
Built in Dublin, trusted across global aviation. We help airlines and airports bridge the gap between legacy infrastructure and AI-driven profitability — strategic, result-focused, relentless.
Average operating margin lift across our tier-1 aviation partners.
Selected results from live engagements. Carriers and hubs anonymised under NDA — references on request to qualified buyers.
Featured engagement
TIER 1 INTERNATIONAL AIRLINE · CONFIDENTIALHow we scaled a Tier 1 international airline's data & AI organisation — embedding 20+ senior practitioners across Databricks, ETL modernisation and LLM engineering during one of the carrier's strongest financial years on record.

"Our ability to invest in next-generation technology and data capabilities has underpinned both operational performance and long-term competitiveness."
— Client Leadership, FY2025 Results
Aviation is the most data-rich industry on earth — and the slowest to act on it. We exist to close that gap.
Carriers and hubs sit on petabytes of telemetry — and still route, price and roster from spreadsheets and tribal memory.
Models that don't change a roster, a price or a stand allocation by Friday aren't strategy — they're theatre. We ship into production.
Fewer cancellations, less fuel burned, more revenue per seat — and a carbon line that finally bends. That's the prize.
Aviation-native, not adjacent.
Every partner has run a P&L inside an airline, airport or MRO. No translation tax.
Senior hands on the keyboard.
The people in the pitch are the people in the standup. No bait-and-switch to juniors.
Paid for outcomes, not slides.
Engagements are tied to fuel, OTP, ancillary or EBITDA lines — and we share the risk.
Repeatable, not bespoke.
Pre-built modules and a four-stage method mean weeks to value, not years to a roadmap.
We don't sell software — we deliver the high-fidelity intelligence required to run an airline or airport at peak margin.
Infrastructure audits and multi-year data sovereignty roadmaps for major carriers and hubs.
Proprietary models for fuel optimisation, predictive maintenance and crew planning.
Real-time operational nerve centres replacing fragmented legacy reporting.
Behavioural data turned into hyper-personalised passenger journeys end-to-end.
Every engagement runs on the same four-stage method and ships from the same library of pre-built modules. That's how we move from kick-off to measurable margin in two quarters — and how an investor can underwrite the same playbook across a portfolio of carriers.
2-week fixed-scope dive. Quick wins sized, ranked, and tied to a P&L line.
Data plane stood up on the client's stack. Telemetry and KPI definitions agreed at C-suite.
Productised modules wired into ops. Shadow-run, A/B'd, then promoted to production.
Board pack, EU AI Act conformity file, and post-market monitoring handed to internal owners.
Each module is owned IP — versioned, governed, and portable across operators. New engagements compose them; they don't rebuild them.
Predictive A-CDM milestone model that compresses ground time variance by 25–40%.
Real-time bundle pricing across NDC and direct channels. +6–9% ancillary RPP.
LLM-powered IROPS workbench for rostering and re-crew within EASA FTL limits.
LLM ingestion of Part 145 logbooks → ranked maintenance schedules and parts forecasts.
EU AI Act + NIST AI RMF documentation, model cards, and post-market monitoring out of the box.
Board-grade dashboard: RASK, CASK, load factor, EBITDA impact — wired to the source systems.
Suitable for boards, strategy committees and investors evaluating an aviation-AI thesis at scale.
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How LLMs are turning technical logbooks into actionable maintenance schedules.

Real-time spatial data is eliminating bottlenecks and lifting non-aero revenue.

The critical difference between data science projects and business transformation.
Fixed-scope engagements that surface quick wins in weeks — not quarters. Pick the depth that fits your appetite.
All-hands sprint into a single business unit or surface scan of the wider org. Quick wins, sized and ranked, with a 90-day shortlist.
Multi-BU engagement covering quick wins and an 18-month strategic roadmap. Target operating model, ROI portfolio, board-ready pack.
We've spent the last two years embedding governance, risk classification and conformity assessments into live aviation AI programmes under the EU AI Act. That muscle is directly transferable to the NIST AI RMF, the US Executive Order regime and the state-level frameworks now landing in California, Colorado and New York.
Mapping aviation use cases — biometrics, crew rostering, dynamic pricing — to EU AI Act risk tiers and the equivalent NIST AI RMF profiles.
Technical documentation, model cards, post-market monitoring and incident reporting built to satisfy EU notified bodies and US regulators alike.
GDPR-grade lineage, consent and DPIA workflows that translate cleanly to CCPA, HIPAA-adjacent and emerging US state law.
Governance operating models, RACI and committee charters that hold up to EASA, FAA and audit committee scrutiny — on either side of the Atlantic.
We work with a small number of aviation partners each year. Tell us where you want to be in 18 months.
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