Designing, evaluating, and predicting behavior of complex systems can be challenging. FTL excels at creating advanced mathematical and visual representations utilizing 3D modeling tools, point clouds, CFD, VR/AR, prototypes, and sandbox environments.
These models can then be utilized to predict system behaviors, create realistic specifications based on those behaviors, and accomplish rapid prototyping and testing. For many systems requiring modeling, there isn’t available data, for example, scans of structures after a natural disaster. For cases such as these, FTL has created a pipeline for creating simulated data with specifications designed to emulate critical system elements. That simulated data can then be used to train machine learning applications, test outlier outcomes, and inexpensively eliminate results with unexpected and undesirable outcomes. FTL’s superior modeling and simulation capabilities ensure our project outcomes are robust, reliable, effective, expandable, and have the highest benefit-to-cost ratio.
While additive manufacturing systems, especially metal, bring revolutionary capabilities and have the potential to reduce supply chain issues and enable new designs through unique layer-by-layer fabrication capabilities, defects such as porosity, inclusions, large-scale voids, and chemical inconsistencies can inhibit the functional performance of a part and reduce confidence in designing parts for AM.
Unmanned Surface Vessels (USV’s) are anticipated to play an important role in future Naval systems. These vary from very small systems deployed by hand from boats, to very large vessels, as large as a manned battleship, but operated entirely remotely.
FTL has extensive experience developing payload systems for Unmanned Underwater Vehicles (UUVs) including extensive fluid modeling of the flow and mixed-phase environment surrounding a moving submarine.
FTL developed “DADTMA”, Distributed Acquisition Digital Twin Maintenance Architecture, is a software solution for accelerating data acquisition and management of maintenance data in the field and for analyzing maintenance and inspection data for a specific aircraft or fleet over time in a Digital Twin framework.
DroneDraft is a mission planning tool developed for the U.S. Army to streamline drone deployment in complex environments. It offers geospatial visualization, flight path optimization, and real-time coordination features to enhance operational efficiency and situational awareness.
FODHAT was developed in collaboration with Northrop Grumman, and uses neural network-enhanced 2D and 3D imaging for autonomous inspection guidance during manufacturing.
FTL’s “FRAMER” (Fast Reconstruction of Architectural Models from Existing Resources) system has been developed for the Chemical and Biological Defense (CBD) program of the DoD. It combines specially trained neural networks with advanced 3D processing algorithms and intelligent data exports to enable high quality building model generation from both blueprints and photographs, and parameter exports for accurate transport and dispersion simulation.
OilEye is a real-time fuel monitoring system developed to detect contamination and performance issues in military aircraft. It combines sensor data with predictive analytics to enhance maintenance efficiency and reduce the risk of in-flight engine failures.
SDARIT (Structural Damage and Repair Inferencing Tool), is an automated inventory, inspection, and repair planning software tool for condition monitoring of assets such as piers, bridges, roads, tunnels, dams, and other structures. SDARIT employs custom AI algorithms for detecting and identifying structural elements and damage caused by wear, seismic effects, fatigue, battle damage, and other environmental factors.
FTL Labs’ SHR3DR (Sub-Seafloor High Resolution 3D Reconstruction) is a
hardware and software solution for the automatic detection of problems such as voids forming in the subterranean environments beneath Navy waterfront facilities.
Sponsored by the Defense Health Agency, FTL’s SPARO (Sensorized Prosthetic Alignment Read-Out) provides clinicians and researchers a tool that enables quantitative measurements of prosthetic alignment and the effects it has on the rest of the body’s motions and dynamics through whole body gait and movement analysis.
FTL’s SpearFish system leverages JPL’s CARACaS autonomy architecture in a new enabling technology for Patrol boat sensing, perception, and Command-and-Control (C2). SpearFish applies advanced high-bandwidth sensor fusion to enable unmanned patrol boats that will reduce risks and enable new operational capabilities within the Maritime Expeditionary Security Force (MESF).
Simulated wave visualization (SWAV) is a software application that transforms meteorological and oceanographic (MetOcean) data into realistic, statistically accurate wave animations. It generates coastal wave scenes based on offshore boundary conditions provided by the user or imported from global wave models.
VAME (Virtual Assessment and Modeling Environment) is a simulation platform designed to support digital twin development for defense systems. It enables virtual prototyping, behavioral analysis, and performance optimization across a range of operational scenarios.
