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Join us at TechNet Indo-Pac 2025

October 28-30, 2025

What we’re bringing to TechNet Indo-Pacific: adaptable, tactical AI

October 28-30, 2025 | Honolulu, HI | Booth 1730

At TechNet Indo-Pacific, see how Latent AI is transforming naval edge AI for contested maritime domains. Leveraging NVIDIA hardware, our solutions enable resilient, deployable autonomy across surface ships, submarines, and unmanned vessels—accelerating threat detection, streamlining data workflows, and ensuring seamless AI updates in denied environments. Visit our booth to explore how we empower U.S. Navy operations with faster, more adaptable tactical AI.

Visit our booth for hands-on demos, catch our theater talk on edge AI in contested seas, download our latest white paper on adaptable autonomy, and meet us in person at the leadership reception for high-level insights.

Don’t miss our theater session

Delivering autonomy at sea: practical edge AI for the fleet
Tuesday, October 28th, 10:00 AM-11:00 AM in the Kukakuka Theater, right on the Exhibit Hall Floor.

Stop by Booth 1730 and experience our innovation firsthand:

Latent Ruggedized Toolkit

Off-grid AI for autonomous unmanned surface vessels with no-code updates

Designed for ops in GPS-denied waters, Latent RTK integrates ruggedized NVIDIA Jetson with ATAK for real-time control of USVs and AI model updates at sea. Naval operators label maritime threats, deploy adaptive models, and track vessels with one-click tools—via a no-code interface that sustains mission superiority without deep technical skills.

Latent Assisted Label

Accelerating dataset labeling with NVIDIA Omniverse

Overcome vast maritime 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 hyperrealistic ocean and coastal training data to expedite annotation—fueling rapid model development for edge AI in dynamic Indo-Pacific scenarios.

Latent Assisted Label was recognized by the U.S. Army’s xTech program, securing fourth place in the xTech AI Grand Challenge competition.

Latent Agent

Automate your edge AI deployment

Slash deployment cycles for shipboard and unmanned systems with Latent Agent, our agentic MLOps platform. Natural language directives construct and tune end-to-end AI, facilitating quick customization across naval platforms—from destroyers to UAVs—for versatile, mission-ready autonomy.

Connect with our specialists for live demos and insights on embedding edge AI into naval warfighting. Let’s arm the fleet with AI that’s primed for any maritime mission, on any vessel.

THEATER SESSION

Delivering autonomy at sea: practical edge AI for the fleet


Date: 
Tuesday, October 28th
Time: 10:00 AM-11:00 AM
Location: Kukakuka Theater, right on the Exhibit Hall Floor

Panelists:
Neal Byrd, Latent AI’s VP of Federal
Rear Adm. (Ret.) Doug Small

Description:
In tomorrow’s contested seas, adversaries will not rely on a handful of exquisite platforms; they will overwhelm with swarms of cheap unmanned systems launched by the thousands. In this battlespace, ship-based AI will collapse under jamming and outages, leaving ships blind and vulnerable. The Navy’s challenge is stark: without resilient, distributed autonomy, U.S. forces risk being outpaced by the improvisation and speed of conflict already visible in Ukraine.

This panel, guided by Latent AI’s vision of edge-first autonomy, charts a pragmatic path forward built on three imperatives:

Modular Design

Separating AI “brains” from low-cost “vehicles” to create flexible, updatable fleets, with short-range wireless links enabling rapid refresh.

Tiered Autonomy

Scaling from simple point-defense missions to advanced, coordinated long-range strikes, ensuring adaptability across threat environments.

Avoiding the “Knight Trap”

Designing autonomy that resists becoming brittle or over-specialized. Instead of a few “silver bullet” systems that fail outside their narrow mission, fleets must field resilient AI that adapts, re-learns, and redeploys at scale across varied maritime scenarios.

Download our White Paper

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