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.
People choose flights based on price and schedule—then pay the hidden cost of disruption. AirRating makes risk visible before you click "buy".
40% of EU flights arrive late. The average delay is 35+ minutes — enough to miss a connection, a meeting, or a deal.
Flight trackers show you what happened. AirRating tells you what's likely to happen, before you book.
Corporate travel teams lose thousands every quarter to disrupted itineraries. Risk-score-based booking cuts that.
A risk layer on top of flight search. Then an API for travel teams.
AirRating combines a 1M+ flight database, live weather feeds, and a machine learning model — all calibrated against real delay outcomes. Transparent by design.
Route and airline delay/cancellation rates from over 1 million real flights, continuously updated and weighted by recency.
Real-time weather forecasts, airport congestion indexes, seasonality patterns, and schedule vulnerability signals.
A machine learning model trained on 500k real flights predicts delay probability. An AI engine turns every score into a plain-language explanation.
Powered by: 1M+ real flights · Live weather & congestion feeds · Proprietary ML model · AI explanations
Join the private beta. We'll invite you as soon as your route and profile match the rollout.
Know the risk before you book and get alerts when it changes.
Pilot the risk layer to cut disruption costs and support tickets.