Skip to content
Aviation Data Transformation

Every flightis data.We turn it intoprofit.margin.velocity.uptime.

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.

+14%

Average operating margin lift across our tier-1 aviation partners.

Measured outcomes

We're hired for margin, not slideware.

Selected results from live engagements. Carriers and hubs anonymised under NDA — references on request to qualified buyers.

−12%
fuel burn / narrowbody fleet
Tier-1 European carrier · 9 months
+8.4%
ancillary revenue per pax
Mid-cap LCC · 2 quarters
−38%
turnaround variance at hub
Top-20 European airport · 6 months
41m
annualised EBITDA impact
Across 6 live engagements

Featured engagement

TIER 1 INTERNATIONAL AIRLINE · CONFIDENTIAL
We speak the language ·
RASK ·CASK ·ASK ·ASM ·RPK ·Load Factor ·OTP ·A-CDM ·MTOW ·ETOPS ·IROPS ·MEL ·MRO ·Block Hours ·Turnaround ·Yield ·Ancillary Revenue ·NDC ·PSS ·DCS ·Codeshare ·Interline ·ATC Slot ·Part 145 ·EASA ·FAA ·IATA ·ICAO ·Stand Allocation ·Pax Flow ·
Featured Engagement

A Tier 1 international airline.

How 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.

Read the full story →
Commercial aircraft on the tarmac at dusk

"Our ability to invest in next-generation technology and data capabilities has underpinned both operational performance and long-term competitiveness."

— Client Leadership, FY2025 Results
20+
Specialists embedded
300M
FY2025 operating profit
+100M
Year-on-year increase
Our why

Aviation is the most data-rich industry on earth — and the slowest to act on it. We exist to close that gap.

We believe an airline run on instinct in 2026 is leaving margin, fuel and trust on the runway. Aviation deserves better than dashboards nobody reads.

01 /The tension

Trillions in data. Decisions still made on gut.

Carriers and hubs sit on petabytes of telemetry — and still route, price and roster from spreadsheets and tribal memory.

02 /Our conviction

AI belongs in the ops centre, not the lab.

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.

03 /The outcome

Quieter operations. Greener flights. Fatter margins.

Fewer cancellations, less fuel burned, more revenue per seat — and a carbon line that finally bends. That's the prize.

Why clients hire us

The big firms write the deck. We ship the system.

  • 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.

What we do

Precision modernisation, end‑to‑end.

We don't sell software — we deliver the high-fidelity intelligence required to run an airline or airport at peak margin.

01 /

Data Strategy

Infrastructure audits and multi-year data sovereignty roadmaps for major carriers and hubs.

02 /

Applied AI / ML

Proprietary models for fuel optimisation, predictive maintenance and crew planning.

03 /

Analytics Modernisation

Real-time operational nerve centres replacing fragmented legacy reporting.

04 /

Customer Experience

Behavioural data turned into hyper-personalised passenger journeys end-to-end.

The GreenFlight Operating System

A repeatable system — not a bespoke project.

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.

  1. 01 /

    Diagnose

    2-week fixed-scope dive. Quick wins sized, ranked, and tied to a P&L line.

  2. 02 /

    Instrument

    Data plane stood up on the client's stack. Telemetry and KPI definitions agreed at C-suite.

  3. 03 /

    Deploy

    Productised modules wired into ops. Shadow-run, A/B'd, then promoted to production.

  4. 04 /

    Govern

    Board pack, EU AI Act conformity file, and post-market monitoring handed to internal owners.

Pre-built modules, ready to deploy.

Each module is owned IP — versioned, governed, and portable across operators. New engagements compose them; they don't rebuild them.

OPS

Turnaround Optimiser™

Predictive A-CDM milestone model that compresses ground time variance by 25–40%.

COMM

Ancillary Yield Engine™

Real-time bundle pricing across NDC and direct channels. +6–9% ancillary RPP.

OPS

Crew Disruption Copilot™

LLM-powered IROPS workbench for rostering and re-crew within EASA FTL limits.

TECH

Predictive Maintenance Core™

LLM ingestion of Part 145 logbooks → ranked maintenance schedules and parts forecasts.

GOV

AI Conformity Workbench™

EU AI Act + NIST AI RMF documentation, model cards, and post-market monitoring out of the box.

EXEC

Executive Margin Cockpit™

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.

Request the operator brief
The Newsroom

Aviation & AI Insights

All articles →
The Future of Predictive Maintenance in Short-Haul Fleets
Whitepaper

The Future of Predictive Maintenance in Short-Haul Fleets

How LLMs are turning technical logbooks into actionable maintenance schedules.

Airport 4.0: Digital Twins and the Guest Experience
Industry News

Airport 4.0: Digital Twins and the Guest Experience

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

Why Most Airline AI Projects Fail (and How to Avoid It)
Strategy

Why Most Airline AI Projects Fail (and How to Avoid It)

The critical difference between data science projects and business transformation.

Where to start

Two diagnostics. One clear answer.

Fixed-scope engagements that surface quick wins in weeks — not quarters. Pick the depth that fits your appetite.

01 / Diagnostic2 Weeks

Data & AI Diagnostic Sprint

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.

02 / Blueprint4–6 Weeks

Enterprise Data & AI Blueprint

Multi-BU engagement covering quick wins and an 18-month strategic roadmap. Target operating model, ROI portfolio, board-ready pack.

AI Governance

Fluent in the EU AI Act — ready for what the US ships next.

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.

EU-nativeUS-ready

Risk Classification

Mapping aviation use cases — biometrics, crew rostering, dynamic pricing — to EU AI Act risk tiers and the equivalent NIST AI RMF profiles.

Conformity & Audit

Technical documentation, model cards, post-market monitoring and incident reporting built to satisfy EU notified bodies and US regulators alike.

Data Governance

GDPR-grade lineage, consent and DPIA workflows that translate cleanly to CCPA, HIPAA-adjacent and emerging US state law.

Board-Ready Assurance

Governance operating models, RACI and committee charters that hold up to EASA, FAA and audit committee scrutiny — on either side of the Atlantic.

Ready to turn your data into a competitive advantage?

We work with a small number of aviation partners each year. Tell us where you want to be in 18 months.

Brief our partners

Headquartered in Dublin, Ireland · Austin, TX · Manhattan, NY

Contact us Case studies