MALVERN, PA — Latent AI partnered with Rajant Health Incorporated to deploy artificial intelligence systems capable of operating in disconnected and contested environments, addressing a growing defense-sector challenge tied to battlefield communications and edge computing reliability.
The collaboration combines Rajant’s mesh networking and distributed edge infrastructure with Latent AI’s software for deploying, updating, and managing AI models across fleets of devices operating with limited or no cloud connectivity.
The companies are targeting defense and industrial operators increasingly seeking AI systems capable of functioning in denied, disrupted, intermittent, or limited, known as DDIL, environments where conventional cloud-dependent AI architectures can fail.
The partnership reflects broader military and industrial investment in edge AI systems that process data locally rather than relying on centralized computing infrastructure, particularly in environments affected by bandwidth limitations, signal interference, or contested communications networks.
Rajant Health Incorporated, a majority-owned subsidiary of Rajant Corporation, provides the company’s Cowbell distributed edge platform, which integrates networking, distributed computing, and workload orchestration technologies.
Latent AI’s platform is designed to optimize AI models for deployment across different hardware systems while enabling remote updates and monitoring without requiring constant internet access.
The companies indicated the combined system allows organizations to deploy and update AI models across distributed fleets, perform real-time local inference, and maintain AI lifecycle management without dedicated on-site engineering support.
Latent AI said similar capabilities were previously demonstrated through U.S. Army Project Linchpin and U.S. Navy Project AMMO, where the company reported reducing deployment timelines and accelerating AI model update cycles in connectivity-constrained environments.
“AI at the edge is not just a model deployment problem; it is a lifecycle problem across hardware, data, connectivity, and operational constraints,” Latent AI Chief Executive Jags Kandasamy said.
The partnership was introduced publicly during the Rajant 2026 Partner Summit in Wickenburg, Arizona.
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