IRIA News

5 minute read

U.S. leading defense manufacturer RTX has partnered with Shield AI to develop and enhance autonomous defense capabilities of U.S. and allied forces. The partnership will allow to Shield AI to integrate its capabilities into RTX defense products, including loitering munitions and sensors.

This initiative will be fully funded by both companies and does not rely on government financing, an unusual step in the defense industry that underscores the confidence both firms have in the commercial potential of this technology.

“AI and autonomy continue to enhance the performance of our products,” said Chris Calio, RTX Chairman and CEO. “In partnership with Shield AI, we will deliver critical new solutions that will create a competitive advantage for our customers.”

Hivemind and Networked Collaborative Autonomy (NCA)

Shield AI’s flagship autonomy system, Hivemind, would serve as the main driving force for the project. The system enables aircraft, drones, or weapons platforms to execute missions autonomously, even in environments where GPS and communications are denied or degraded. Shield AI describes Hivemind as an “AI pilot”, a software system that enables mission-level autonomy, meaning it can plan, adapt, and execute complex combat missions without human oversight.

Shield AI would integrate Hivemind into the Networked Collaborative Autonomy (NCA), a breakthrough concept in military AI that allows multiple autonomous systems to collaborate in real time. This means swarms of drones or loitering munitions can operate together as a single intelligent network, coordinating movement, identifying threats, assigning tasks, and engaging targets dynamically on the battlefield.

The RTX-Shield AI team is working to integrate this capability into RTX’s advanced loitering munition systems, making it possible for these weapons to autonomously search, track, and strike high-value targets with minimal human input, even in GPS-denied or electronic warfare (EW) environments.

“RTX’s defense systems paired with Hivemind, which delivers mission autonomy for intelligent, collaborative operations, create powerful new capabilities for the warfighter,” said Gary Steele, CEO of Shield AI. “This collaboration reflects how the defense ecosystem is evolving — bringing the best of autonomy and hardware to bear on national security challenges.”

The AI-pilot

Unlike traditional drone systems, which typically rely on remote control or heavily pre-programmed flight paths, Hivemind allows each unit to make decisions in real-time, adapting to unpredictable battlefield conditions. It can identify terrain, classify targets, prioritize objectives, and even reassign tasks mid-mission if one asset is lost.

This allows a fleet of autonomous systems to function much like a human-led team, observing, orienting, deciding, and acting, without continuous input from a remote operator. These systems do not just execute commands; they learn and adapt on the fly, operating as a truly collaborative, intelligent unit.

With such capabilities, AI-powered autonomous weapons could play a central role in future conflicts, particularly in anti-access/area denial (A2/AD) scenarios where enemy forces deploy jamming, radar, and surface-to-air missile systems to prevent U.S. or allied forces from entering contested zones.

Sensor integration: ViDAR + MTS

Beyond offensive systems, the RTX-Shield AI partnership also includes efforts to upgrade sensor systems with AI-based autonomy. Shield AI’s Visual Detection and Ranging (ViDAR) software will be integrated into RTX’s Multi-Spectral Targeting System (MTS), a sensor suite currently fielded on platforms like the MQ-9 Reaper.

ViDAR uses machine vision and AI algorithms to scan, detect, and classify targets across vast maritime and aerial environments. When paired with MTS, the result is a fully autonomous detection system capable of identifying fast-moving or small-signature threats, such as swarms of drones or small boats, without requiring manual intervention.

The AI can prioritize targets, issue alerts, and even direct engagement in real time. This drastically reduces the time from detection to decision to action, a crucial advantage in modern, high-speed warfare.

The companies said the focus will be on rapid productization for existing MTS customers, indicating that these AI-enhanced sensor capabilities could see near-term deployment on U.S. and allied platforms.

Broader implications

The partnership comes at a time when the U.S. Department of Defense is increasingly focused on integrating AI into the force structure, but doing so ethically and responsibly. Both companies have emphasized that their systems are being designed with these principles in mind.

The joint statement said the collaboration will ensure all systems remain reliable, traceable, and governable, and that they will adhere to the highest standards of security and effectiveness. This reflects ongoing concerns about the dangers of autonomous weapons operating without adequate human control, a topic of considerable debate in both defense and international law circles.

This partnership reflects a broader transformation in the defense sector. Traditional military-industrial firms like RTX are increasingly teaming up with agile AI-native startups to fast-track the integration of cutting-edge software with legacy platforms. Shield AI, with its deep AI expertise and combat-tested systems, provides exactly that capability.

Given the Pentagon’s urgent calls to outpace China and Russia in military AI, such public-private partnerships are likely to become more common. Unlike many traditional acquisition programs that can take years or even decades, initiatives like this emphasize modular integration, rapid iteration, and commercial-style agility.