Use Cases
Event
See edge AI deployed across six partner environments at AUSA 2026
latent ai at ausa 2026
Six partner environments. One edge perception layer.
At AUSA 2026, see how Latent AI’s edge perception layer integrates across different compute platforms, operating systems, sensors, and mission systems, from C-UAS and autonomous systems to video analytics.
THE EDGE PERCEPTION LAYER
Foundation models, optimized for embedded hardware.
Latent AI brings foundation-model-based perception to low-power edge platforms including NVIDIA Jetson and Qualcomm, making advanced tracking practical on the hardware already deployed in the field.
find
Cue and identify targets from live sensor data.
Use existing detections, operator inputs, or sensor feeds to identify targets without sending every frame back to a centralized environment.
fix
Track with memory, not just detections.
Maintain persistent tracks through movement, lighting changes, and occlusion. Target memory preserves context so systems can maintain custody as conditions change.
finish
Put perception into the system.
Deliver real-time detections and tracks to the platforms, targeting systems, autonomy stacks, and applications already in the field.
NEW AT AUSA 2026
Edge AI across six partner environments
See how Latent AI integrates with different compute platforms, operating systems, sensors, and mission systems across AUSA.
Wind River X | Westin, Floor 2, Blossom Room
C-UAS and ATR on Wind River Linux
See Latent AI ATR and C-UAS running on the Kitestrike II, with ATR driving automatic gimbal control.
One Stop Systems | Hall D, Booth #7454
Video analytics and ATR on ruggedized edge hardware
See Latent Analyze searching recorded video with natural-language queries, alongside ATR tracking from a laptop and camera.
Leonardo DRS | Hall D, Booth #6341
C-UAS detection and tracking on DRS edge hardware
See Latent AI C-UAS detection and tracking hosted on the Leonardo DRS THOR Tactical Edge Compute solution.
Army GVSP | Drone flight area
Multi-target drone tracking on NVIDIA Jetson
See Latent AI ATR detecting and tracking two drones in live flight demonstrations on an NVIDIA Jetson AGX Orin.
QinetiQ | Hall C, Booth #3417
ATR on low-light imaging
Latent AI ATR tracking targets from SRI’s DomiNite digital night-vision system in pitch-black conditions.
Sigma Defense | Marriott Marquis, Adams Morgan Room M3
Multi-platform edge AI and sensor integration
Latent AI running across PacStar, Kägwerks Dock Ultra, and CardShark, with sensor feeds integrated through Sigma’s NEOS edge hardware.
ACROSS THE EDGE
Built to integrate with the systems already in the field
Latent AI provides a modular perception layer for existing sensors, compute platforms, and mission systems. Run AI where the data is generated and connect its output to the systems that need it.
Drone systems
Real-time perception and tracking for piloted and autonomous drones.
Counter-UAS
Detection, tracking, and target handoff for small UAS threats.
Edge deployment
Run AI where data is generated, across different hardware and computing platforms.
Video analytics
AI-powered search and investigation of recorded video for site security.
Related Resources
Latent AI at AUSA 2026: Latent AI is demonstrating its edge AI software across six partner environments at the Association of the United States Army (AUSA) Annual Meeting, October 12–14, 2026, in Washington, D.C. The demonstrations show how Latent AI’s modular edge perception layer integrates with different compute platforms, operating systems, sensors, and mission systems to deliver AI capabilities where data is generated.
At AUSA 2026, Latent AI is demonstrating Automatic Target Recognition (ATR) for persistent target detection and tracking, counter-UAS (C-UAS) detection and tracking, and Latent Analyze for AI-powered video analytics. ATR demonstrations include persistent multi-target tracking, automatic gimbal control, low-light target tracking, and deployment on edge platforms including NVIDIA Jetson. C-UAS demonstrations include Latent AI detection and tracking running with Wind River Linux on the Kitestrike II and on the Leonardo DRS THOR3 edge compute platform. Latent Analyze is demonstrated on One Stop Systems ruggedized edge hardware for natural-language search and investigation of recorded video.
Latent AI’s six AUSA 2026 partner environments include Wind River X, One Stop Systems, Leonardo DRS, Army GVSP, QinetiQ/SRI, and Sigma Defense. Together, these demonstrations show how Latent AI can run across different edge compute platforms, sensors, and operating environments while providing real-time perception, persistent tracking, and video analytics to existing mission systems. The demonstrations span drone systems, counter-UAS, low-light imaging, physical security, and multi-platform edge AI, illustrating how a common perception layer can support different mission applications without requiring a new AI stack for every platform.