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Risk intelligence for flights

Know the risk
before you book.

AirRating scores every flight 0–100 — combining 1M+ real-flight records, a machine learning model trained on 500k routes, live weather, and airport congestion data. Built for corporate travel teams, OTAs, and insurers.

Simple 0–100 score Pre-booking risk Disruption alerts

Visibility at decision time

People choose flights based on price and schedule—then pay the hidden cost of disruption. AirRating makes risk visible before you click "buy".

Delays cost more than you think

40% of EU flights arrive late. The average delay is 35+ minutes — enough to miss a connection, a meeting, or a deal.

Generic tools don't predict — they just report

Flight trackers show you what happened. AirRating tells you what's likely to happen, before you book.

Your travel budget deserves better data

Corporate travel teams lose thousands every quarter to disrupted itineraries. Risk-score-based booking cuts that.


The MVP, clearly.

A risk layer on top of flight search. Then an API for travel teams.

01
You enter a route
We look up the full historical record for that exact route and airline in our database of 1M+ real flights.
02
Our engine scores it
A blend of statistical analysis (70%) and our XGBoost ML model (30%) produces a Risk Score 0–100 — calibrated against real delay outcomes.
03
You get a clear answer
Score, confidence level, key risk drivers, and a plain-language AI explanation — so your team can act, not just read data.
What you'll get in beta
Risk Score + "why" breakdown — delay history, congestion, weather, events
ML Engine — XGBoost model trained on 500k real flights. Predicts delay probability on each specific route.
Smart recommendations: Lowest risk / Balanced / Lowest cost
Monitoring alerts (email in MVP, push later)
Early access to Route Risk Reports — shareable insights
B2B interest?
If you manage travel (TMC, corporate, OTA), tick the checkbox in the form and we'll share a pilot deck.

How the Risk Score is built

AirRating combines a 1M+ flight database, live weather feeds, and a machine learning model — all calibrated against real delay outcomes. Transparent by design.

Transparent by design · Explainable signals
1M+ flight database

Route and airline delay/cancellation rates from over 1 million real flights, continuously updated and weighted by recency.

Live context signals

Real-time weather forecasts, airport congestion indexes, seasonality patterns, and schedule vulnerability signals.

ML Engine + AI Explanations

A machine learning model trained on 500k real flights predicts delay probability. An AI engine turns every score into a plain-language explanation.

Scoring engine
Score = 70% · StatisticalModel(route, airline, congestion, weather, seasonality)
+ 30% · XGBoost_ML_probability · min(1.0, confidence×2)
Final Risk Score 0–100

Powered by: 1M+ real flights · Live weather & congestion feeds · Proprietary ML model · AI explanations


Get early access

Join the private beta. We'll invite you as soon as your route and profile match the rollout.

For travelers

Know the risk before you book and get alerts when it changes.

For travel teams

Pilot the risk layer to cut disruption costs and support tickets.

Helps us prioritize beta coverage.

Common questions

Can I predict whether my flight will be delayed?
That's exactly what AirRating does. You get a Risk Score 0–100 before you book — based on the historical delay rate of that specific route and airline, combined with real-time weather and airport congestion. Not a guarantee, but a clear, data-backed signal to guide smarter decisions.
How is AirRating different from FlightAware or FlightRadar24?
FlightAware and FlightRadar24 track flights that are already in the air. AirRating scores future flights — before you book. We combine historical delay patterns, live weather, and machine learning to give you a forward-looking risk signal, not a real-time tracker.
Which routes and airlines are covered?
We cover thousands of routes across Europe and major international corridors, backed by over 1 million real flight records. Coverage is expanding — join the waitlist and tell us which routes matter most to you.
Is AirRating for individual travelers or for businesses?
Primarily B2B. AirRating is built for corporate travel managers, OTAs, and insurers who need flight risk data at scale. Individual travelers can access it too — but the core product is designed to integrate into professional workflows and booking systems.
Do you offer an API for integrations?
Yes — planned after the private beta. If you're building a travel app, risk model, or corporate booking tool, select "B2B pilot" in the waitlist form and we'll prioritize your access and shape the API around your use case.
How reliable is the flight risk prediction?
Our machine learning model is trained on 500k real flights and achieves an AUC-ROC of 0.64 — meaningfully above chance, and in line with the accuracy of short-range weather forecasts in aviation. Every score includes a confidence indicator so you always know how much historical evidence backs it.