SILENT FALCON
Front Royal, Virginia (VA), United States
Aerospace
Products & Services
Analyze
Silent Falcon
Analysis with AI deep learning algorithms within Neutral networks (AI-DLNN). Using a subset of machine learning and analyze fused data at near real time speeds through virtual computing.
Visualize
Silent Falcon
Data visualization converts granular data into easily understood, visually compelling–and useful–business information to see your critical Go/No-Go data and decision points more clearly.
About
A Proven team for Airfield Inspections We bring a unique, cost effective and proven approach to airfield pavement management. We have inspected airfields in all 9 FAA regions to include contracts with DoD, Part 139, State DOTs and the FAA. We provide 100% airfield data from remote sensing per FAA AC 150 5300-18C and our patent pending AI combined with experienced ASTM 5340 “boots on the ground” professional engineers reduce pavement management costs by 30-60%.
Our goal is to make it more consistent and cost efficient. Many of our team members are former fighter pilots and learned to fly on the small “don’t have any money” airports. We want to help the future fighter pilots, airport managers and DOTs with a cost-effective solution that can leverage the power of remote sensing and AI. Why send engineers out for days and weeks to collect only 10% of the data when our team can collect 100% at sub 2mm resolution for a fraction of the cost, time, and no impact to airflow.
Our PCI+ methodology has been contracted by the FAA, is unique, patent (pending), superior to all current forms of pavement management, follows the guidelines of ACRP Report 39 and its use of GIS per Public Law 103-305 requirements for NPIAS airports has been validated by the FAA in “Developing a Pavement Maintenance Program”.
Our goal is to make it more consistent and cost efficient. Many of our team members are former fighter pilots and learned to fly on the small “don’t have any money” airports. We want to help the future fighter pilots, airport managers and DOTs with a cost-effective solution that can leverage the power of remote sensing and AI. Why send engineers out for days and weeks to collect only 10% of the data when our team can collect 100% at sub 2mm resolution for a fraction of the cost, time, and no impact to airflow.
Our PCI+ methodology has been contracted by the FAA, is unique, patent (pending), superior to all current forms of pavement management, follows the guidelines of ACRP Report 39 and its use of GIS per Public Law 103-305 requirements for NPIAS airports has been validated by the FAA in “Developing a Pavement Maintenance Program”.
