Flexible plans for every fitness journey

The platform utilizes a complex machine learning algorithm to predict the delay for a given flight. This allows operational controller to make educated decisions up to 24 hours in advance of a flight. The model uses a combination of historical flight data, weather reports, airport relationships, routes and operational factors to develop a mathematical prediction.

Yes, absolutely! Every user enters a mutual development partnership with the team at Pleiades Aerospace. This allows for custom integrations, short feedback loops and unparalleled access to founders.

To provide users with the most accurate predictions, it's essential to gather relevant data. While more information from users improves results, our system architecture also leverages publicly available data, including historical flight records and weather patterns. This comprehensive approach enables us to deliver predictions that are 20% more accurate than the current industry standard.

The Pleiades Aerospace team has developed a deep understanding of the root causes behind flight delays, incorporating this knowledge into each prediction we generate. Our approach encompasses everything from the basic interactions between ground and flight crews to the intricate spaciotemporal relationships that connect hub airports across the network.

Please contact us today through the form on our website. One of Pleiades Aerospace's founders will reach out to you within 24 hours to discuss your specific requirements and explore how we can build a successful partnership together.

support@pleiadesaerospace.com

‍1800 552 165