Our goal is to make air travel smarter and more efficient. Over the past decade, the travel industry has witnessed innovation in search, ticketing, and real-time flight tracking, but the passenger experience from a delay perspective has remained as unpredictable, opaque, and frustrating as it was 15 years ago. Flight delays are more than an annoyance -- they cost the US economy more than $20B annually in direct airline operating costs and lost passenger productivity.

The travel ecosystem today is geared toward reacting to delays through better delivery of real-time information and alternatives once a disruption has occurred, but no service exists that helps passengers and airlines proactively manage delays before a disruption occurs. Flightsayer fills this gap.

At flightsayer, we believe that flight delays are not an inevitable part of flying, but a risk that can be proactively managed. We use sophisticated machine learning algorithms to predict flight delays hours, days, and mont...
Our goal is to make air travel smarter and more efficient. Over the past decade, the travel industry has witnessed innovation in search, ticketing, and real-time flight tracking, but the passenger experience from a delay perspective has remained as unpredictable, opaque, and frustrating as it was 15 years ago. Flight delays are more than an annoyance -- they cost the US economy more than $20B annually in direct airline operating costs and lost passenger productivity.

The travel ecosystem today is geared toward reacting to delays through better delivery of real-time information and alternatives once a disruption has occurred, but no service exists that helps passengers and airlines proactively manage delays before a disruption occurs. Flightsayer fills this gap.

At flightsayer, we believe that flight delays are not an inevitable part of flying, but a risk that can be proactively managed. We use sophisticated machine learning algorithms to predict flight delays hours, days, and months before departure, empowering travelers to make better itinerary choices. Our algorithms continuously crunch through massive and complex data including historical weather and delays, weather forecasts, real-time flight statuses, FAA advisories, and schedule data to estimate the likelihood of a flight experiencing a delay.

We help passengers at the time of booking by helping choose flights with a lower risk of delay, and after booking by monitoring flights and issuing actionable delay predictions hours to days before departure, and suggesting alternatives when a delay is likely. This information is delivered to passengers through a website or an app (coming soon). Our predictions are available to partners via an easy-to-use API.

At this time, we are focused on a B2B2C model, forming partnerships with companies that manage travel (corporate travel management companies), companies that help in booking travel (online travel websites), or companies that help manage trips (itinerary management apps). We are also looking to work with airlines to help drive greater operational efficiency.
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