We use high-energy X-rays to "see" inside engines, weapons, and components without dismantling them, revealing internal cracks, corrosion, or faults invisible to the naked eye.
Our deep learning algorithms flag even the most subtle defects that human inspectors might miss, continuously learning from new data to improve accuracy.
DefenseSherpa analyzes X-ray scans in real time, immediately alerting technicians to anomalies for on-the-spot decisions and quicker repairs.
Beyond finding current defects, our platform trends data over time to predict future issues, helping replace parts before they fail.
High-energy electromagnetic radiation penetrates metal, composites, and electronics without harming them. Dense materials appear darker, while voids or cracks show up as telltale contrasts.
Sophisticated neural networks trained on vast datasets of known defects automatically recognize patterns associated with flaws, continuously improving with each scan.
Our platform works with Digital Radiography, Computed Tomography, and Micro-Focus X-Rays to inspect everything from circuit boards to tank armor.
Convolutional neural networks excel at identifying regions that deviate from normal material structure.
Both supervised and unsupervised learning methods flag unusual patterns that could indicate defects.
Advanced techniques partition X-ray images to isolate potential defect regions, even with noisy data.
GPU-accelerated computing analyzes images in 0.15 seconds with 99% accuracy.
DefenseSherpa identifies defects instantaneously as X-ray images are generated, with no waiting for film development or lengthy analysis.
Our AI flags anomalies in real-time, whether on a production line or during routine maintenance checks.
High-speed algorithms enable complete inspection without bottlenecks, ensuring defective components never slip through.
Inspect munitions, missiles, and weapon components for internal defects. Detect voids in explosive material, examine weld integrity, and check solder joints in guidance systems.
Examine wing spars, fuselage joints, landing gear, and turbine blades for cracks or corrosion without disassembly, minimizing aircraft downtime.
Analyze welded seams in armor for micro-cracks, inspect ceramic composite armor inserts, and check gun barrels for internal flaws.
Perform on-demand diagnostics in the field with portable X-ray units, reducing the need to send equipment back to central depots.
Lower maintenance costs by 25%
Standardized inspection process
Detection rates up to 90%
Real-time analysis without delays
DefenseSherpa delivers a step-change improvement over conventional inspection methods. It merges the thoroughness of X-ray imaging with the relentless efficiency of AI, yielding an inspection process that is faster, smarter, and more economical.
AI detected a hairline crack in a wing spar that was missed in previous inspections, preventing potential in-flight structural failure.
System identified an irregular void in high-explosive fill deep inside a shell that could have caused misfire or improper detonation.
AI tracked tiny crack growth in a main rotor gearbox, predicting failure within 50 flight hours and enabling proactive replacement.
Analysis revealed microscopic porosities in a 3D-printed fuel injector that traditional methods missed, ensuring reliable performance.
All data is protected through AES-256 and TLS 1.3 encryption both at rest and in transit, with role-based access control and multifactor authentication.
Can be deployed in secure on-premise servers or GovCloud environments, even in air-gapped networks for ITAR-controlled data.
Aligns with CMMC 2.0 requirements and NIST security controls for handling controlled unclassified information.
Schedule a live demonstration where we walk you through the platform's features using sample X-ray data, or arrange an on-site demo with your own test pieces.
Email us at PradeepAlbert@gmail.com or call our team at (631) 338-8131. Our experts are ready to discuss your needs and explore integration options.
We offer pilot programs to prove the technology on a small scale before full deployment, and welcome partnerships with defense R&D organizations and academic institutions.
We combine advanced X-ray imaging with cutting-edge artificial intelligence to detect mechanical and structural issues deep inside military equipment – from armaments to aircraft – before they lead to failures. This Same technology has been used by Radsherpa for analyzing medical imaging and is being used in 89 countries for the past 5 years.