The Venture view: de-risking through composable hardware
As defense deep-tech investors, our core mandate is to identify and scale mission-critical solutions that can bypass legacy, multi-year procurement cycles. To achieve this, we look for companies that embrace hardware-enabled modularity.
Just as the commercial software world thrived by building open APIs, next-generation defense hardware must serve as an open, adaptable architecture. A UAV should not be designed as a single-purpose appliance; it must be an extensible platform.
This composable framework directly de-risks defense tech investments. It ensures that the underlying platform remains operationally relevant even as threat profiles and battlefield requirements rapidly shift. When an aircraft provides a reliable, high-endurance physical foundation, characterized by an abundant power budget and integrated thermal management, it allows prime contractors and operators to treat payload bays as hot-swappable slots. Today, the drone carries an ISR pod; tomorrow, a counter-UAV interceptor or a signals-intelligence array.
However, looking across the defense ecosystem, we find a glaring systemic bottleneck threatening this investment thesis. The market is pouring capital into sophisticated digital brains while often ignoring the physical architectures required to carry them.
The operational defense AI inflection point
Defense AI has reached an inflection point. Edge computing, autonomous coordination, and real-time battlefield intelligence are already active procurement priorities across NATO and beyond. The software underpinning these capabilities has made genuine strides, and the strategic rationale for continued investment is well established.
What receives comparatively less attention is the physical layer those systems depend on. At OpImpact, we review a significant number of defense hardware companies each year, and a pattern emerges consistently: the gap between what AI systems promise in controlled conditions and what they deliver in the field is rarely a software problem only. The hardware challenge rooted in a set of physical constraints is no less critical to overcome.
We call this structural mismatch, the Persistence Paradox. True defense innovation requires a fundamental architectural shift. No amount of algorithmic optimization can offset the limitations of flawed hardware. To make tactical edge AI viable, the digital evolution of unmanned systems must be met with a parallel deep-tech shift in aerospace hardware and systems engineering. Until the hardware layer catches up, operational performance will remain far below what the software alone suggests is achievable.
The four pillars of the hardware gap
The constraints are real. Heat, power, interference, and adaptability. These are the key areas where compact tactical platforms consistently fall short of what their AI payloads demand.
- Thermal loads build quickly when inference models and sensor fusion run simultaneously on a small airframe. Unlike larger aircraft, tactical UAVs have few options for dissipating that heat, and when processors throttle to protect themselves mid-mission, capability drops at exactly the wrong moment.
- Electromagnetic resilience is equally underappreciated. Dense processing generates interference that can degrade a platform’s own navigation and communications. In electronically contested environments, adversarial jamming adds a further layer that commercial-grade shielding was not designed to handle.
- Mission endurance remains the most stubborn physical limit. A fully loaded UAV running a meaningful compute stack is typically back on the ground in under thirty minutes. That is a serious ceiling for any persistent airborne function and it does not improve through software updates.
- Physical modularity is another gap, and perhaps the most consequential for procurement. Most tactical platforms today are purpose-built for a single role. As requirements shift, and in modern conflict, they shift quickly, that rigidity becomes a liability. Platforms designed with standardized, swappable payload interfaces age far better than those that do not.
Bridging the divide: the move to hybrid architecture
To overcome these constraints and realize the value of modular payload bays, the industry must pivot toward parallel-hybrid architectures that decouple payload mass from mission endurance. This structural shift is already taking shape through deep-tech innovations that combine the high energy density of liquid fuel with highly responsive, redundant electric drivetrains.
In our portfolio, Flyworks exemplifies this transition, engineering systems that break the traditional battery ceiling to maintain a 5kg tactical payload for up to three hours of continuous hover time.
By scaling airborne endurance by an order of magnitude, hybrid propulsion transforms the tactical UAV from a short-range scouting asset into a persistent, airborne edge-compute node. This gives the platform the sustained power budget required to simultaneously run edge AI models, anchor mesh networks, and deploy electronic countermeasures without dropping offline to recharge.
The way forward
The software-defined battlefield is a certainty. But software cannot hover in mid-air on its own, nor can it calculate if its processor is overheating or blinded by electronic noise.
As defense budgets expand globally and procurement cycles attempt to match the rapid speed of commercial technology, capital must be allocated with a strict understanding of holistic systems engineering. We cannot invest millions in cutting-edge edge AI models while ignoring the deep-tech hardware foundations required to carry them into contested spaces.
The future of autonomous defense belongs to those who successfully bridge the digital-physical divide. By backing structural innovations that combine high-efficiency hardware with open, scalable software architectures, we ensure that forces in the filed are equipped with the smartest minds in the sky, and with the physical endurance required to see the mission through.
