How I Built an Airspace Risk Monitoring System with ML and Public Data

When 12 Flight Information Regions closed simultaneously in February 2026,
thousands of flights were rerouted within hours. I started wondering —
what if this data could be processed systematically?

What FlySafe Does

FlySafe is an API that processes public aviation data and outputs
a simple number: a 0-100 risk index per flight region.

Send a route → get an index. That's it.

Updated every 5 minutes. Three time horizons: 72h, 7d, 30d.
Backtested on historical airspace closure events.

How It Works

The model identifies patterns in public data that historically
correlate with airspace disruptions.

It doesn't predict specific events. It doesn't replace NOTAMs.
It provides a numerical index as one additional data point.

What I Learned Building This

1. Aviation data is messy. NOTAMs have no standard format across countries
2. Conflict data is surprisingly open. Academic databases provide research-grade datasets for free
3. The hard part isn't ML — it's data normalization. Getting multiple sources into a unified pipeline took longer than training the model
4. B2B is lonely. No viral loop, no app store, just cold emails and API docs

Who It's For

B2B product — airlines, flight aggregators, insurance,
corporate travel platforms. Not a consumer app.

Demo (simulated data): flysafe.zone

Launched on Product Hunt today — feedback welcome.

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All data derived from publicly available sources.
No classified or insider information. No safety advice.