FlightProfiler^™ quantifies and visually illustrates how risks affect a flight.  It is the only tool in the world that prescreens safety and risk for an entire flight cycle. 

The FlightProfiler^™ predictive technology can be utilized by Air Traffic Control, Flight Managers, Director of Operations, Schedulers & Dispatchers, Airline Managment, Flight Crews as well as Owners & Operators.  

FlightProfiler^™ is not a digitized checklist or a subjective measurement tool.  It is a forecasting technology specifically created for the aviation industry that uses mathematical and statistical processes to accurately forecast risk factors and flight cycle safety margins.  It is the first service of its kind and it is the best SMS technology available.

A FlightProfiler^™ deliverable can take many forms, including color coding ATC contacts for different types and stages of risk.  This website service delivers several other options including stoplight (green - yellow - red) graphics and advanced displays which show the entire flight cycle so that users can instantaneously identify two important conditions: 1) if risk is increasing or decreasing and 2) how the flight compares to optimal and marginal example flights.  

Statistical Climatological Modeling:

Accurately forecasting aviation-relevent weather factors is very difficult.  However, there are a few companies in the world that have taken on this challenge.  We have partnered with the leading company in this realm, Unisys.  Unisys' proprietary data flows into FlightProfiler^™ where our technology takes over.  Transparent to the user, a flight cycle assessment seamlessly includes weather interactions.

Forecasting Technology:

Risk management and SMS (Safety Managment Systems) are about Forecasting.  Forecasting is about early warning or leading indicator identification.  However, when environments are dynamic and occurances are nearly random (such as in aviation), standard forecasting tools (ARIMA, Box-Jenkins, simulation even expert opinion) are nearly useless.  FlightProfiler^™ utilizes specific characteristics of Croston's forecasting (which is usually used for intermittent supply-chain demand) and a new generation of Quality Function Deployment in a proprietary Relational Mathematics model to compare an actual upcoming flight with its ideal, marginal and/or customized possible flights.  The difference between the actual flight and these other flights generates the data needed to identify risk.

Relational Mathematics:

No one can predict the future, but the likelihood (probability) of an event can be calculated.  Furthermore, if all that needs to be calculated is a likelihood of increased risk (because the question of knowing how or why is secondary to knowing ‘if’), risk predictions can get even more precise. For instance, knowing that the weight & balance of an aircraft is outside of limits can be as valuable as knowing that an aircraft will fail to rotate at 116 knots due to exceeding weight & balance limitations by 4%.  FlightProfiler^™ uses relational mathematics with statistical functions in a proprietary mathematical SMS decision model to combine and quantify a comprehensive field of probabilities. 

Important Limitation Note:

FlightProfiler^™ can not predict the future. A perfectly routine flight can be eventful and an inherently unsafe flight can conclude without incident.  FlightProfiler^™ attempts to quantify flight risk and do so in a measurable, rigorous & repeatable process; however, its results should always be challenged.  It should never be used alone.  It must be subordinate to management and flight crew decisions.