Our algorithms mine training data for patterns, identifying data-level competency metrics, and presenting them through intuitive interfaces to empower both the instructor and the trainee.
Designed For You
Every flight simulator and training device is different. That’s why we work with our customers to design customized data pipelines and develop a data strategy.
A Team of Experts
By tapping into Paladin:Paradigm, you’re connecting with a network of professionals with a broad skills pulled from industry and academia.
How Does it Work?
The Gnōsys Predictive Engine
Gnōsys learns about a trainee’s strengths and weaknesses to build a tailored training regimen to reach competency faster and more cost-effectively.
Analyze millions of simulator data points
Gnōsys is a predictive analytics engine built on top of high-performance machine learning libraries and research into how humans learn. We analyze the data stream coming off training hardware or a computer-based training device and mine it for learning patterns.
Empower both trainees and instructors
Data-level competency metrics are displayed using intuitive dashboards for both the instructor and the trainee. Instructors can view entire cohorts to keep each trainee on track. Trainees gain access to their personal performance data.
Our system flags trainee weaknesses, suggests curriculum modifications, and projects skill progression. Gnōsys-equipped simulators become smart training devices capable of reducing training time and associated costs. Trainees gain confidence and expertise faster.
We are a technology company based in Montréal at the heart of Canada’s aerospace industry and work with people all over the world. We were founded in 2013 by Adolfo Klassen and our team draws together expert talent from industry and academia. We have provided strategic guidance to established and emerging simulator and training companies.
In order to achieve true competency-based training, we need to:
quantitatively measure the competencies of the trainee,
quantitatively assess the effectiveness of training,
make predictions about the future performance of each trainee, and
make recommendations to adapt training to the particular strengths and weaknesses of the trainee.
Our technology makes this possible. We combine state-of-the-art educational data mining techniques with artificial intelligence to produce detailed metrics of trainee performance. Our analytics provide instructors with the deep insights they need, so that each pilot can have a tailored training experience that targets their weaknesses and recognizes their strengths.
Founder & CEO
Mikhail Klassen, PhD
Founder & Chief Data Scientist
Aaron Maxwell, PhD
Senior Frontend Developer
Scientific & Industry Advisory Board
Suzanne Kearns, PhD, FRAeS
Associate Professor in Aviation, University of Waterloo
Lishuai Li, PhD
Assistant Professor at City University of Hong Kong
Former RAF Helicopter Pilot and RAeS Flight Simulation Group Committee Chairman
Ian G. McIntyre
Integrated Training Solution Expert and Former Flight Instructor, Canadian Armed Forces
Executive Director at the African Business Aviation Association