Drones are rapidly changing modern warfare.
Cheap, flexible and increasingly capable drones have become central to military operations. Unsurprisingly, so has the focus on stopping them.
The Ukrainian Ministry of Defence, for example, estimates that drones accounted for 90% of enemy targets hit in 2026.
One of the ways militaries are defending against the threat posed by drones is electronic warfare, such as GPS jamming and spoofing. But there is a catch: the same techniques that can disrupt an enemy drone can also impact friendly ones.
So, how do you keep a drone flying and on target when it can no longer trust GPS?
That’s something Sparc AI (CNSX:SPAI) is trying to solve by developing GPS-independent positioning technology to help drones when satellite navigation is disrupted.
Founded in 2018, Sparc AI is a defence technology company that aims to provide global positioning infrastructure that doesn't depend on GPS. Its core solution, called Overwatch, is designed to provide this capability.
Overwatch uses data that the drone is already collecting, including information such as altitude, heading and camera orientation. That data can be combined with terrain and other environmental information to estimate the drone’s position without relying on GPS.
The result is designed to give operators another way of determining where a drone is and what it is seeing when GPS signals are jammed, spoofed, or unavailable without requiring additional hardware or software.
The military drone market is rapidly growing.
In April the US Department of War put in a budget request that included $75 billion for drone and counter-drone technologies. It also has a $1.1 billion Drone Dominance program which aims to procure as many as 200,000 AI-enabled drones by 2027.
Sparc AI’s Overwatch system is an interesting addition to the drone warfare playbook.
If the platform can be deployed without significant hardware or software modifications, it could potentially provide its users with improved outcomes alongside a potential advantage in scalability and deployment costs compared to other options.
That makes Sparc AI an interesting proposition.
It is targeting a genuine and increasingly important problem for modern militaries. But identifying a problem and building a commercially successful solution are two different things. For investors, the key question is whether Sparc AI can prove Overwatch works at scale and convert that capability into revenue and, eventually, profits.
The most followed Simply Wall St community Narrative centres on the potential of Sparc AI’s Overwatch platform to address what is becoming a critical challenge for drones: maintaining accurate navigation when GPS signals are jammed, spoofed or unavailable.
The narrative’s author summarises the opportunity as follows:
“Even a small share of deployed devices across a few regions is enough to support meaningful revenue and justify a higher valuation.”
The author estimates a fair value of CA$5.25 per share, compared with a share price of CA$3.36, suggesting the stock is trading at a 36% discount to its estimated intrinsic value.
Critical to the thesis is the assumption that Sparc AI can convert early validation and trial activity to actual sales. Something that is not a given considering that currently Sparc AI remains at the early stages of commercialization and any hiccups could impact the investment case significantly.
As highlighted, Sparc AI offers an innovative solution to the increasingly important challenge of operating drones on the battlefield.
War is typically a battle between defeat and deception. One side tries to defend against an attack while the other tries to find a way through those defences. Sparc AI promises to assist with this by allowing drones to overcome one of the common counter-drone strategies being used in real time, GPS jamming and spoofing.
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Simply Wall St analyst Andrew Legget and Simply Wall St have no position in any of the companies mentioned. This article is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material.