How AI Is Enabling the Next Phase of Defence Innovation in Canada
- Natalia Kaplan
- Mar 25
- 3 min read
How increased access to platforms, partnerships, and AI capabilities is helping Canadian companies move from development into real-world defence deployment.

This article builds on TerraSense Analytics’ original feature published in the National Post (MediaPlanet, March 20, 2026). Read the full article here.
As countries place greater emphasis on technological sovereignty, the ability to develop and deploy AI domestically is becoming a strategic priority.
Canada already has the foundation to do this. The challenge now is making sure innovation moves beyond research environments and into real-world deployment through stronger investment and access.
The Bottleneck Is Interpretation
Modern defence systems generate vast amounts of data, often outpacing the ability of teams to process and turn it into actionable insight.
Every new platform deployed in the field, whether a drone, vehicle, or sensor system, adds more feeds, more signals, and more noise. Without the ability to interpret that information in real time, it doesn’t translate into better decisions.
That gap between collection and usable intelligence is where AI is starting to change how defence operations function in practice. It can process inputs across systems, surface patterns, and support faster, more confident decisions in environments where timing matters.
As Cornell Pich, Vice-President of Business Development at TerraSense Analytics, put it:
“AI is already helping the military do its job better, with greater precision, which helps bring our men and women in uniform home safely.” National Post, March 20, 2026
From Fragmented Systems to a Clearer Picture
One of the ways this challenge is being addressed is through better integration across systems.
Electro-optical, infrared, and radar capabilities have traditionally operated separately, each offering only part of the picture. Bringing these inputs together creates a more complete operational view.
AI enables that integration, helping reduce uncertainty and improve confidence in what is being observed. This leads to more reliable decision-making in complex environments.
Opening the Door for More Canadian Companies
Who gets access to participate matters just as much as the technology itself.
Smaller companies are already building strong capabilities, but access has historically been limited. Getting into the environments and programs where that work can move beyond testing and into real use has been a barrier.
Policies like Canada’s Industrial and Technological Benefits framework are starting to shift that.
They create opportunities for small and mid-sized companies to partner with larger organizations, contribute to major programs, and prove their capabilities in real conditions.
Expanding participation strengthens the ecosystem and accelerates how quickly innovation can move from development to deployment.
From Local Expertise to Global Capability
Canada already has the expertise.
Strong universities, early-stage companies, and a growing base of technical talent are already in place. The focus now is on translating that into systems that can operate at scale and integrate with allied partners.
Access to the right partnerships and environments makes that transition possible.
As Jozsef Hamari, Founder and CEO of TerraSense Analytics, said:
“AI will touch every piece of military infrastructure. If we don’t invest, we lose the opportunity as a nation to be at the forefront.” National Post, March 20, 2026
This is not only about building technology. It is about building companies that can operate internationally, contribute to allied systems, and position Canada more strongly on the global stage.
What Comes Next
AI is already part of how defence systems operate today. The focus now is on scale.
Expanding access, increasing deployment, and enabling more companies to contribute in meaningful ways will determine how quickly Canada can adapt to increasingly complex environments.
A stronger and more connected ecosystem will shape what comes next.


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