BlueWX, a Tokyo spin-out from All Nippon Airways and Keio University, forecasts turbulence with deep learning. In August 2025 ANA became the first airline to use such a service in line operations.
Founded in July 2023 and led by Kaz Watanabe, the company has fewer than ten staff. Its model is trained on about a decade of turbulence data and, by its own account, scored about 86 per cent accuracy on test data. Warnings go to flight crews and dispatchers ahead of time, and the company is extending the platform to wind forecasts for route planning.
ANA (All Nippon Airways) · BlueWX
ANA said on 7 August 2025 that it had become the first airline to put BlueWX's AI turbulence prediction into operation, after trials involving 2,500 of its pilots, with a reported prediction accuracy of 86%.
A deep-learning turbulence prediction service developed as a spin-out from All Nippon Airways and Keio University.
Provides flight crews and dispatchers with high-accuracy advance turbulence warnings to improve safety, reduce passenger injuries, and enable fuel-efficient avoidance routing.
An extension of the BlueWX deep-learning platform applying the same modelling approach to wind and direction forecasting for route planning. As of 2025, BlueWX was expanding the product for airline flight planning integration; commercial deployment details had not been publicly disclosed at time of research.
Provides high-accuracy wind and direction forecasts to support fuel-efficient route planning beyond the turbulence prediction use case.
Notes held in the Aerostack register. Aerostack has not independently verified them.
BlueWX operates in the aviation weather AI market at a point when airlines are under significant pressure to reduce turbulence-related injuries and their associated liability costs.
The NTSB estimates turbulence accounts for the majority of serious in-flight passenger injuries annually.
BlueWX's ANA and Keio University lineage gives it both operational validation and academic credibility that pure software startups typically lack at early stage.
Operational deployment with ANA, the first airline to use the service in line operations, provides direct validation of the 86% accuracy figure.
Reduced turbulence exposure translates to lower passenger injury rates, reduced crew workload on avoidance decisions, and marginal fuel savings from proactive rather than reactive rerouting.
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