The Pentagon has a new problem: it has built dozens of autonomous military platforms, but no unified way to make them work together as a coordinated team. A startup called NODA AI just won a $10 million contract to solve that exact challenge, developing software that translates a commander's intent into coordinated action across unmanned systems in multiple domains.

What Is Military Orchestration and Why Does It Matter?

Think of the Pentagon's autonomous platforms as chess pieces: drones, boats, robots, and missiles, each with their own capabilities. But until now, there was no chess player coordinating the moves. NODA AI's new contract, awarded under the Department of Defense's Multi-Domain Collaborative Autonomy (MDCA) program, funds development of MAESTRO (Multi-Domain Autonomous Enhanced System for Tactical Reasoning and Orchestration), software designed to project a commander's intent into coordinated autonomous action across air, maritime, ground, and subsurface domains.

The core innovation is elegant: instead of requiring each military platform vendor to build their own autonomy software, NODA's orchestration layer sits on top of existing systems as a decision engine with pre-programmed playbooks. During setup, the company programs each platform's capabilities and limitations into a synthetic environment, runs simulations to understand how systems interact, and then allows commanders to issue high-level mission directives that the software breaks down into specific tasks for different platforms.

"Maestro is the program for the orchestration layer, the horizontal autonomy, the ability to project intent. We don't need to develop an AI pilot for platforms like LUCAS. Our function here is the horizontal autonomy layer. If all these companies are building vertical stacks and capabilities, we're this horizontal layer that is independent," said Philong Duong, co-founder and CEO of NODA AI.

Philong Duong, Co-founder and CEO at NODA AI

The MAESTRO contract will integrate NODA's software across multiple Pentagon platforms, including LUCAS (Low-Cost Uncrewed Combat Attack System), MUSIC, Vigilant Spirit, and Arbitrator. This represents a significant shift in how the military approaches autonomous systems: instead of vertical integration where each vendor controls hardware and software together, the Pentagon is moving toward a modular architecture where orchestration software coordinates best-of-breed platforms from different manufacturers.

How Does NODA's Orchestration Software Actually Work?

NODA AI was founded in 2024 by Philong Duong and Thomas "Dave" Corbett to address what they saw as a critical gap in military autonomy. The company raised a $4 million seed round in 2025, then secured a $25 million Series A led by Bessemer Venture Partners at a $125 million valuation in February 2026. The $10 million MAESTRO contract represents validation of their core thesis: the Pentagon needs a horizontal orchestration layer that can work across multiple vendor platforms.

Here's how the system works in practice: A commander issues a mission directive like "secure this coastline while searching for mobile missile launchers and preserve enough strike assets for follow-on attacks." The orchestration software then breaks that directive into specific tasks and roles for different systems, including both unmanned and manned platforms, and cues them to execute those tasks. As targets emerge and the situation changes, the software dynamically reassigns tasks and validates targets in real time.

• Synthetic Environment Modeling: NODA programs each platform's capabilities, limitations, and vulnerabilities into a digital simulation environment to understand how systems interact under different mission scenarios and threat conditions.
• Dynamic Task Reassignment: The orchestration layer manages autonomous capabilities across multiple domains while continuously reasoning through which platform is best suited to prosecute each emerging target.
• Multi-Domain Coordination: The software enables commanders to coordinate platforms across air, maritime, ground, and subsurface domains simultaneously, rather than tasking each platform individually.
• Manned-Unmanned Integration: The system can incorporate manned platforms alongside unmanned systems, allowing human operators to remain in the decision loop while benefiting from autonomous coordination.

NODA is not alone in pursuing this orchestration challenge. The company was selected alongside Anduril, Shield AI, Palantir, Lockheed Martin, Auterion, Helsing, and others to participate in CDAO Crucible 2 (Swarm Forge), a Pentagon initiative focused on swarming capabilities. Additionally, NODA won an Air Force SBIR Phase II award in 2025 to orchestrate autonomous platforms from different vendors, demonstrating that the military sees orchestration as a critical capability across multiple service branches.

What Does This Mean for the Broader Military AI Market?

NODA's contract comes at a moment of explosive growth in military AI investment. The global military AI market was valued at $9.82 billion in 2025 and is expected to reach $41.58 billion by 2035, growing at a compound annual rate of 17.4 percent. This growth is driven by rising defense modernization programs, increasing investments in autonomous platforms, and growing demand for faster, data-driven military decision-making across intelligence, surveillance, reconnaissance, command and control, and logistics.

The market is also seeing a wave of specialized startups differentiate themselves through focused capabilities rather than competing directly with established defense AI leaders. Emerging players are targeting specific niches: Smack Technologies focuses on domain-specific military AI using deep reinforcement learning; Overland AI specializes in autonomous ground vehicles for contested environments; TYTAN Technologies builds low-cost interceptor systems for European air defense; Airis Labs analyzes large volumes of video and user-generated content for defense intelligence; and EdgeRunner AI develops military-specific AI agents designed to operate at the tactical edge in communication-denied environments.

These emerging companies are differentiating through specialized military applications, decision dominance, autonomous ground systems, low-cost air defense, defense intelligence, and tactical edge AI rather than competing directly with established defense AI leaders like Anduril and Shield AI across the entire autonomy and defense technology stack.

How to Understand the Pentagon's New Approach to Autonomous Coordination

• Horizontal vs. Vertical Architecture: The Pentagon is moving away from vertical integration, where each vendor controls both hardware and software, toward horizontal orchestration layers that coordinate multiple vendors' platforms through a unified decision engine.
• Commander's Intent Translation: Modern military orchestration software translates high-level mission directives from commanders into specific tasks for individual platforms, reducing the need for manual tasking of each system.
• Real-Time Adaptation: Orchestration systems continuously monitor the battlefield, validate targets, and reassign tasks as new threats emerge, enabling faster decision-making than traditional command structures.
• Multi-Domain Integration: The software coordinates platforms across air, maritime, ground, and subsurface domains simultaneously, creating a unified operational picture that was previously impossible to achieve.
• Manned-Unmanned Teaming: Modern orchestration systems integrate human operators with autonomous platforms, keeping humans in the decision loop while leveraging autonomous coordination for faster execution.

Duong emphasized that this shift toward orchestration represents a fundamental change in how the military thinks about autonomy. "I've been working on this thesis inside the Pentagon for the better part of a decade," he noted. "In the early days, it was a very pie-in-the-sky, very fluffy, abstract idea that I think only the most forward-looking technologists really gravitated towards. It's non-controversial now that the unmanned space is here to stay".

Duong

The MAESTRO contract signals that the Pentagon is ready to move beyond experimental autonomy programs and build the infrastructure needed to coordinate dozens of autonomous platforms as a unified force. As the military AI market continues its rapid expansion, orchestration software like NODA's may become as critical to military operations as the platforms themselves.