Developers
Event
March 26, 2026 | Carahsoft Conference & Collaboration Center | Reston, VA
The question at this summit isn’t whether AI belongs at the tactical edge — it’s how to get it there faster, and make it work when it matters most. Powered by NVIDIA hardware, our solutions deliver ultra-fast, adaptive AI that thrives in contested, disconnected environments — from sensor fusion on forward-deployed drones to vehicle-mounted systems that update in the field without ever touching a data center. Stop by our demo table to see how we accelerate tactical AI deployment, reduce labeling burdens, and keep warfighters ahead of the mission.
Latent AI’s VP of Federal, Neal Byrd, joins the Sensors and AI Data Fusion at the Edge panel to discuss how edge-native AI is accelerating real-world warfighter advantage, from sensor integration to adaptive inference without cloud dependency.
How do you fuse sensor data and act on it when there’s no cloud in sight? This panel brings together warfighters and industry technologists to tackle the real challenges of AI at the point of contact — latency, bandwidth constraints, hardware diversity, and the need for models that adapt in the field without a trip back to the data center.
Neal Byrd, VP of Federal at Latent AI, joins the panel alongside:
Capt. Christopher Clark — AI Lead, HQMC DCI, USMC
1st Lt. Will Habacivch — IRAS, CE Intel CD&I, USMC
Chris “CT” Thomas — Technical Director, Dell Technologies
Off-grid AI for autonomous unmanned surface vessels with no-code updates
Operate seamlessly in GPS-denied or contested environments with Latent FTS. Integrating ruggedized hardware and real-time control, operators can label threats, deploy adaptive AI models, and track assets—all via a no-code interface that sustains mission advantage without specialized technical expertise.
Accelerating dataset labeling with NVIDIA Omniverse
Overcome vast surveillance datasets for intelligence, surveillance and reconnaissance (ISR) with data annotation that cuts expert effort by 99%. Our generative AI pipeline, powered by NVIDIA Omniverse and CUDA / Tensor Cores, creates hyper realistic training data to expedite annotation—fueling rapid model development for edge AI in dynamic operational environments.
Real-time, offline translation for field operations
Enable secure speech-to-speech communication in disconnected and high-risk environments with Latent Linguist. Running entirely on-device, operators can speak, listen, and read naturally with continuous translation, text and OCR support, and rugged low-SWaP hardware—maintaining mission tempo without relying on the cloud or human interpreters.
Latent Assisted Label was recognized by the U.S. Army’s xTech program, securing fourth place in the xTech AI Grand Challenge competition.
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