When the battlefield exposes the flaws of traditional technology
Artificial intelligence applied to the military arena is no longer a Hollywood script — it has become a real, concrete, and urgent demand. The early days of the conflict in Iran brought to light vulnerabilities nobody wanted to see: the available defense technology simply could not keep up with the speed and complexity of modern threats, and the price paid for that was immense — human lives. An attack involving multiple drones damaged the United States embassy in Saudi Arabia, six American soldiers lost their lives in a drone strike in Kuwait, and perhaps the most telling episode of all, the absence of a shared blue object management system — which provides real-time tracking of friendly forces and assets — resulted in a friendly fire incident that brought down three American F-15 fighter jets. These were not isolated failures or bad luck on the battlefield. They were symptoms of a system that aged far too quickly in the face of increasingly unpredictable adversaries.
These events served as a wake-up call that was impossible to ignore. The traditional big-name military equipment suppliers, with their billion-dollar contracts and development cycles that can stretch over decades, came under more intense scrutiny. The question echoing through the halls of the Pentagon and research centers around the world was blunt: if the threat evolves in months, how can we trust systems that take years to be ready? It is in this gap that startups focused on technological innovation began positioning themselves, bringing leaner, smarter, and more adaptable solutions to the world of military security.
The contrast between the old model and the new one is stark. On one side, defense programs that consume trillions of dollars and deliver platforms that are already outdated the day they launch. On the other, young and agile companies that can develop functional prototypes in weeks, using artificial intelligence to process data in real time, identify threat patterns, and suggest responses before a human operator can even assess the situation. This dynamic is completely reshaping what we understand as defense in the 21st century, and the real-world examples are already emerging in full force.
The perspective of someone who has been on the battlefield
Jonathan Pan, a United States Army veteran who served in combat in Afghanistan, knows firsthand the lethal cost of technological gaps. Now the founder and CEO of Exia Labs, a defense technology startup based in Bellevue, Washington, he describes it as deeply frustrating to watch the American military pay top dollar for systems that deliver subpar performance — and that ultimately leave soldiers less safe. According to Pan, smaller and more agile companies, like those found in the Seattle area, are capable of offering alternatives that are superior in both quality and cost.
And this is not an isolated opinion. During a recent visit to the U.S. Congress, Pan heard from lawmakers and think tank experts a confirmation of what he had long suspected: the Pentagon’s innovation programs, created specifically to bring small businesses into the competitive defense industrial base, operate at such a slow pace that startups frequently burn through their private funding before the Department of Defense can even incorporate their technologies. The result is a vicious cycle where the American military remains dependent on the same large contractors, who charge increasingly higher prices.
The problem does not affect just the United States. Pan reports that he has spoken with military commanders from allied nations in Europe and the Pacific and has repeatedly heard the same complaint: these countries are eager to adopt American innovation, but the dominance of major suppliers and prime contractors has driven prices to a level that makes U.S. technology prohibitively expensive even for the closest partners. This creates a dangerous gap, because it weakens interoperability among allies at the very moment when military cooperation has never been more necessary.
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Defense startups and the Pentagon’s bureaucratic bottleneck
Companies like Anduril, Shield AI, and Palantir have become well-known names in the defense technology ecosystem precisely because they managed to do something the industry giants were not doing: deliver innovation at speed. Anduril, for instance, developed autonomous surveillance towers equipped with artificial intelligence sensors capable of detecting, classifying, and tracking threats without human intervention. Shield AI created drones that operate fully autonomously in environments with no GPS signal — something essential in urban or underground warfare scenarios. Palantir, meanwhile, built data analytics platforms that integrate information from dozens of different sources to give military commanders a unified picture of the battlefield. These are solutions that were born outside the traditional model and are already being tested in real-world operations.
However, there is a massive obstacle threatening to slow all of this progress: the Department of Defense acquisition process. The path between a technology that is ready and its effective adoption by the armed forces can take years, sometimes more than a decade. For a startup that relies on investment rounds and needs to show results to its investors, that wait time can be fatal. Many of these companies end up running out of capital before their products ever reach the hands of the soldiers who need them most. It is a cruel paradox: the technology exists, it works, and it can save lives, but bureaucracy prevents it from reaching the right destination at the right time. Initiatives like the Defense Innovation Unit, created to accelerate the adoption of commercial technologies by the U.S. military, are trying to shorten that path, but the results are still far from solving the problem entirely.
The Seattle area, where Exia Labs is headquartered, is home to hundreds of AI startups and dozens of defense technology startups, along with major tech companies and established aerospace manufacturers working on solutions for the military sector. This ecosystem represents enormous potential, but it needs legislative support and targeted investment to truly flourish. Washington state’s congressional delegation, according to Pan, could push the Pentagon to prioritize these investments, bringing tangible benefits to the region — job creation, capital attraction, and the development of a more competitive, diversified, and dual-use defense industrial base.
The debate around AI in the military and its real limitations
There is an important point that often gets lost in the excitement surrounding military artificial intelligence: large language models like Claude and ChatGPT, as impressive as they are, are not particularly special in a combat environment. Pan is straightforward about this. These tools are, at their core, high-speed probabilistic text engines that calculate the likelihood of word sequences. They work really well for processing and generating language, but the real world is not made of words floating in the air or on the ground.
The real world is three-dimensional and physical. Building an artificial intelligence capable of understanding physical space — with its variables of terrain, weather, time, distance, visibility, and force positioning — is a fundamentally different challenge from training a model to answer questions or write text. It is precisely this distinction that separates conversational AI, which dominates the tech headlines, from spatial intelligence, which can actually transform military operations.
This understanding is what drives the development of a tool called Blue, created by Exia Labs. Blue digitizes physical environments and processes the variables that matter most in military operations: terrain, weather conditions, time, distance, visibility, and the positions of allied and enemy forces. The goal is to provide commanders with real-time situational awareness — the kind of information that can prevent friendly fire incidents and dramatically improve decision-making on the battlefield, whether on land, at sea, or in the air.
Spatial intelligence and the future of military security
The concept of spatial intelligence goes far beyond satellites orbiting the Earth. The central idea is to create a layer of situational awareness that combines data from ground, aerial, maritime, and space-based sensors, all processed by artificial intelligence algorithms in real time. Imagine a system that can cross-reference satellite imagery with coastal radar data, drone feeds, and communications intercepts to identify a threat before it even materializes. This kind of integration was unthinkable ten years ago, but today it is within reach thanks to the falling cost of space launches and the advancement of computer vision models. The convergence of these technologies is creating possibilities that redefine what it means to have information superiority on the battlefield.
In practice, this radically changes how military operations are planned and executed. After 75 years of the NATO alliance, allied soldiers in the field still frequently do not know where their own forces are positioned, let alone where the enemy is. Commanders still rely on paper maps and plan routes with incomplete information, despite the enormous amount of geospatial data available in the cloud. Instead of depending on intelligence cycles that take hours or days to produce actionable reports, the idea is for commanders to have access to a continuous stream of information analyzed and prioritized by AI. Decision-making does not just get faster because of the technology — it gets better, because it is based on a more complete and up-to-date understanding of the operational environment.
Exia Labs is already putting this vision into practice. During the week the original article was published, the team was in Germany testing an unmanned ground vehicle designed for resupply and casualty evacuation. These solutions reduce risk exposure in what is known as no man’s land — those zones between enemy lines where danger is at its peak. But for missions like these to be truly autonomous, they depend on spatial intelligence: the ability of software and hardware to understand what can happen given the real-world constraints of the physical environment. Without this layer of comprehension, an autonomous vehicle is nothing more than a machine following a pre-programmed script, unable to react to the unexpected.
The Seattle ecosystem as an innovation engine
For the startups that manage to survive the bureaucratic valley of death, the outlook is promising. Global defense budgets are on the rise, driven by geopolitical tensions that show no signs of easing. NATO countries have increased their military spending, and nations like Australia, Japan, and South Korea are investing heavily in autonomous capabilities and artificial intelligence-based systems. This means the addressable market for these companies is growing rapidly, and those who can navigate the regulatory and compliance complexities will find a vast ocean of opportunities ahead of them.
The Seattle area, with its unique concentration of tech talent, the presence of major software and hardware companies, top-tier universities, and a deeply rooted culture of entrepreneurship, has everything it takes to be a central hub in this transformation. The city and its surroundings already host a vibrant community of companies working at the intersection of AI and defense, and this ecosystem has the potential to attract even more investment with the right political and institutional support.
Pan argues that Washington state’s congressional delegation carries the political weight and influence to advocate for these investments before the Pentagon. The benefits would be twofold: on one hand, the armed forces would gain access to more modern and effective technologies; on the other, the region would reap economic rewards in the form of skilled jobs, venture capital attraction, and the strengthening of a dual-use defense industrial base — one where the same technology developed for military purposes can be adapted for civilian applications like logistics, disaster response, and public safety.
The urgency to act now
Regardless of where anyone stands on the conflict in Iran, the current situation in the Middle East is likely to expose more and more areas of technological need for the Pentagon. The fundamental question is whether the response will come with the urgency the moment demands. Recent conflicts have shown, in tragic and unmistakable fashion, that whoever masters the intersection of AI and defense will hold a decisive strategic advantage.
The future of defense technology is being shaped right now, at this very moment, by engineers and entrepreneurs at startups who see the problem from a different angle than the large industrial conglomerates. The combination of advanced artificial intelligence, more accessible hardware, and a generation of founders who understand code just as well as military doctrine is creating an innovation ecosystem unlike anything we have seen before. The challenges are still enormous — bureaucracy, regulation, ethical questions around autonomy, and the need to build trust between military leaders and technologists — but the direction is clear.
Seattle has the political influence and the innovation ecosystem needed to be part of this solution. And for the first time in history, the advantage may not belong to whoever has the biggest budget, but to whoever has the best idea — and the speed to turn it into reality before it is too late. 🚀
