The Osprey Solution

In order to close this gap and deliver the next generation of data-driven, aviation-specific risk management, Osprey was established. Leveraging machine and deep-learning, open-source data, and industry-leading knowledge to enable more secure and safe aviation.

The Osprey system monitors hundreds of thousands of open sources worldwide in more than 60 languages every few minutes. The "noise" is then filtered out by AI algorithms, leaving only the most accurate, pertinent, and aviation-specific information available. Our team then verify each event before it is entered into the database, ensuring its accuracy and educating the AI to build a constantly improving system. This generates a high-fidelity, dynamic digital model of the global risk to aviation, using open-source data.

Machine and deep-learning models use our years of historical data to identify new anomalies and patterns that could indicate a risk to aviation anywhere in the world, usually days, weeks, or even months in advance. Osprey analysts apply an analytical and operational overlay to explain how this impacts operations and what can be done about it, leaving more time to plan for the disruptive event and avoid costs.

A recent example of this occurred in November 2022, when protests erupted in Brazil following a government election. Osprey had been issuing alerts advising airlines to be prepared for ground disruptions due to the election as far back as 9 September. On 1 November, protests broke out at Sao Paulo's Guarulhos Airport (SBGR/GRU), leading to several major airlines having to delay, divert, and in certain cases cancel flights. Osprey clients operating in this area who had been monitoring alerts were able to continue their operations with no disruption.