Discover the hidden world of Electric Network Frequency (ENF) signals—subtle fluctuations captured in audio and video recordings that reveal when and where they were made. Explore how ENF analysis is transforming intelligence and digital forensics, offering unparalleled precision in verifying the authenticity of media files.

Strike Labs is developing a capability that approximates facial features from voice data by training a neural network on diverse audio-visual datasets. This process analyzes attributes like pitch, tone, accent, and rhythm to estimate age, gender, and geographic origin. The model identifies probabilistic correlations, turning vocal characteristics into broad facial profiles. This tool supports intelligence analysis by cross-referencing voice data with visual approximations, providing a new layer of identification for cases lacking visual input.

Jay-Walker’s core strength lies in its ability to process handwriting and obscure languages at scale using an AI-human combo. It offers rapid translations for on-site operators who need speed, while intelligence agencies benefit from high-accuracy processing to clear out the final 1-5% of their data backlog. By blending AI efficiency with human insight, Jay-Walker excels in translating complex texts, enriching intelligence databases, and transforming raw data into actionable insights for both immediate and long-term intelligence operations.

Enhancing Sniper Accuracy with Real-Time Atmospheric Sensing

During SOFWeek 2021, Colonel Joel Babbitt of SOCOM’s Lethality Team highlighted a cutting-edge challenge: accurately hitting long-distance targets despite varying atmospheric conditions. The goal? Empower snipers to remotely sense atmospheric changes like pressure, temperature, and wind, adjusting in real time to hit targets precisely. Strike Labs explores this potential with a prototype integrating advanced sensors and ballistic data, poised to redefine sniper accuracy in complex environments.

Using Time Difference of Arrival (TDOA), Strike Labs tackled the challenge of tracing radio frequency origins with sub-meter precision. The system, synchronized with atomic clocks, enables real-time geolocation of hidden transmitters—transforming surveillance capabilities. In a world where milliseconds matter, Strike Labs’ TDOA solution not only enhances military intelligence but also has potential for homeland security, disaster response, and more.

In 2019, Strike Labs was tasked by the FAA to develop an encryption solution for ADS-B signals—a system that was designed to enhance aviation safety but exposed critical vulnerabilities. Unencrypted signals left military and private aircraft open to tracking by adversaries, compromising national security. Despite bureaucratic challenges, Strike Labs crafted an encryption protocol to protect these signals while maintaining transparency. We continue advocating for its broader implementation, aiming to keep sensitive operations secure and fulfill our commitment to national defense innovation.