FTL Labs’ FRAMER (Fast Reconstruction of Architectural Models from Existing Resources) combines specially trained neural networks with advanced 3D processing algorithms and intelligent data exports to enable high quality building

FTL is drawing upon its vast expertise in biomechanics, musculoskeletal modeling, and wearable robotics to develop an exoskeletal system that mitigates injury to paratroopers during a parachute landing fall (PLF).

FTL’s “AM4Sight” will employ sensor data fusion, leveraging FTL’s vast knowledge base and expertise in machine learning, artificial intelligence, and additive manufacturing processes, to provide foresight of possible defects and

“SharpScan” from FTL Labs Corporation is an innovative, compact, improved-angular-resolution radar that is modified to extract the Doppler shift of moving targets to create real-time Range-Doppler Maps (RDMs), employing new

The SonoPod technology, when implemented, will allow a significant enhancement in the U.S. Department of Defense’s Hearing Conservation Program by providing a method to quickly verify proper HPD fit in

With the Navy’s fleet rapidly autonomizing, FTL’s proprietary autonomous risk assessment and navigation AI engine, TyFUN, enables the Navy to bring swarm autonomy to smaller patrol boats. TYFUN was developed

FTL’s SDARIT, Structural Damage And Repair Inferencing Tool, enables the Navy to autonomously convert structural 3D scan data of damaged piers into actionable Battle Damage Assessments (BDAs). SDARIT leverages FTL’s