Tagged · Investors
7 articles on Investors.
Where aviation's software dollars go in 2026 — and the foundation underneath them
Airlines and airports are set to spend around $46B on IT, with AI everywhere. Almost none of it targets the schedule-data layer every operation runs on. For investors, that gap is the interesting part.
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An investor's map of aviation schedule tooling
A foundational layer, a durable standard, a recurring need — and almost everyone still building it in-house. Here's the investor's-eye view of schedule-data tooling: the buyers, the wedge, the moats, and the honest risks.
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Why now: the 2026 forces converging on schedule data
Capacity discipline, a decade-long fleet backlog, a permanent fuel premium, and a slow distribution overhaul are all landing at once. Each, independently, raises the value of getting schedule data right.
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What a schedule-data platform is worth: the economics of a foundational tool
Recurring need, near-zero marginal cost, high switching cost, and a position under the whole stack. The unit economics of a foundational schedule-data tool are quietly attractive — here's the shape of them.
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Why the data foundation is the moat
In a foundational data tool, the defensibility isn't the interface — it's the domain encoded into the data layer, the trust that comes from determinism, and the gravity of being the thing everything else is built on.
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The case for vertical SaaS in aviation
Horizontal software is a knife fight. The durable value increasingly sits in vertical SaaS — deep, domain-specific tools for industries with real complexity. Aviation, and its schedule-data layer in particular, is a textbook example.
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The cost of getting the schedule wrong
A schedule error is cheap to fix at the desk and expensive everywhere else. Because the schedule sits at the bottom of the stack, one wrong row propagates upward — into revenue, operations, and every automated system that trusted it.
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