Airbus: from the A350 ramp-up to the Skywise aviation data platform
Airbus pulled A350 production data from plants in several countries into one view, sped up A350 deliveries 33%, and grew it into Skywise (10,500+ aircraft).
Airbus brought the production data for the A350 (an aircraft of roughly 5 million parts), scattered across plants in several countries, into a single interface. According to Palantir, A350 deliveries sped up by 33%, and the same data foundation later became Skywise, an aviation data platform connecting 10,500+ aircraft.
Summary
| Item | Detail |
|---|---|
| Company | Airbus |
| Industry | Manufacturing |
| Use cases | Predictive maintenance, supply chain intelligence, quality inspection, data-driven decisions |
| Functions | Production, supply chain, strategy |
| Reported result | A350 deliveries 33% faster; Skywise connects 10,500+ aircraft (49% of the Airbus fleet); 50,000+ users in 2026 |
| Moments rating | S-tier quick win |
| AI use-case score | 95 |
Why it matters
The project started as firefighting on one aircraft program, not as a platform initiative. Once a single production line’s data was joined up and used by the people on the line, it was extended step by step to supply chain, finance and eventually Airbus’s airline customers.
Case details
Background
According to Palantir’s case page, at the end of 2015 Airbus needed to raise A350 output without compromising quality. Each A350 is made of about 5 million parts, built by hundreds of teams across more than eight plants in four countries. Schedules, shifts, part deliveries, work orders and quality issues lived in separate systems owned by different teams and countries. Airbus needed to answer basic questions: how often do defects occur, how much rework and delay do they cause, and which tasks are still open and why.
What they did
In 2015, Palantir Foundry combined scheduling, crew, parts, delivery and defect data and gave every member of the A350 production team one shared view for planning and troubleshooting. That let teams head off defects earlier and react quickly to surprises such as supplier delays. In 2016 the same data assets were extended to neighboring processes in scheduling, supply chain and finance. In 2017 the two companies built Skywise on top of it, connecting flight, engineering and operations data across the aviation industry.
Results and data
Palantir says A350 deliveries accelerated by 33% and Airbus hit its target. Skywise connects more than 10,500 aircraft, 49% of the Airbus fleet, with more than 25,000 monthly unique users (figures last updated on the page in 2023). The page quotes Allegiant Air’s head of maintenance operations planning saying that predictive alerts alone keep at least one aircraft a day from being grounded. A renewal press release dated February 10, 2026 says more than 50,000 users now rely on Skywise daily, and that the platform supports a move to a sovereign cloud environment that meets Airbus’s requirements.
What to take from it
Start with a production problem that has a deadline, not with a “platform”. Getting one line’s data connected and adopted by frontline teams first, then widening to supply chain, finance and external customers, is a steadier path than a big-bang data program.
Limits
This is a vendor case study, and the method behind the 33% figure is not published. Airbus’s data volume and multi-country coordination are far beyond most manufacturers. Data sovereignty and cloud requirements also need to be assessed separately under local regulations.
Source
Original source: Palantir · Airbus case
Additional source: Palantir and Airbus extend strategic collaboration (Business Wire, 2026-02-10)
This is an industry research entry: a publicly documented third-party AI case, not a Moments client case. For projects Moments delivered itself, see client cases.
Related
- BP: an energy operations digital twin built on Palantir Ontology — BP has used Palantir since 2014 to run an oil and gas digital twin fed by 2 million+ sensors; a 5-year renewal in September 2024 added AIP's LLM capabilities.