Where we come from...
Ardenna was created from the innovative minds of its parent company, Bihrle Applied Research Inc., originally founded in 1973 as an aeronautical research and development firm. Drawing on engineering expertise in the areas of wind tunnel testing, flight dynamics, scale aircraft prototype development, Sense and Avoid technologies, aircraft mathematical modeling & simulation, and specialized software development for the commercial and military UAS communities, Bihrle has been on the cutting edge of aeronautical R&D solutions since its inception.
In 2014, Bihrle’s UAS software development acumen led to a partnership with BNSF Railway and the FAA’s Pathfinder Program to study and develop technologies for the aerial inspection of railway infrastructure conditions. It was immediately apparent to Bihrle that there was a significant gap in the overall inspection market, for automated processing of the vast amounts of aerial imagery collected during UAS inspection flights. In order to address this gap and focus resources on the development of computer vision, machine learning and analytics technologies, Ardenna was born.
Where we're going...
Ardenna is excited to be part of the UAS revolution and strives to serve its customers by utilizing computer vision and machine learning to automate the detection, classification and reporting of anomalies found during asset inspections.
We are excited about the success of our RailVisionTM solution in automating BNSF Railway's supplemental track inspections and look forward to expanding the breadth of our "intelligent automation" solutions for use in the energy sector, including electric utilities, pipeline, wind turbine and solar.
Our team is not only passionate about the advanced technologies that we create, but we are passionate about the practical application of these technologies to improve the lives and livelihoods of our customers and partners. We promise to listen well, work together, play hard and deliver solutions that will exceed your expectations!
Intelligent Automation of Infrastructure Inspections