Arkeus announces $25m in funding to accelerate manufacturing

Industry
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By: Reporter

Defence technology company Arkeus has announced raising $25 million in Series A funding to accelerate its global expansion.

Defence technology company Arkeus has announced raising $25 million in Series A funding to accelerate its global expansion.

The company will establish advanced manufacturing capabilities in both Queensland and the United States, supporting sovereign defence capability while enabling faster delivery of systems into operational use.

Led by QIC Ventures, the raise saw participation from new investors R+VC, Folklore Ventures and DYNE Ventures, with continued support from existing investors Main Sequence Ventures, Salus Ventures and Beaten Zone.

 
 

Arkeus secured the Australian Army Wide Area Airborne Surveillance Program in November 2025 to enhance the sensing capabilities of its tactical UAS fleet.

The company has also won contracts with the United States Department of War and its technology is integrated with major drone manufacturers, including AeroVironment, Textron, Tekever and Boeing subsidiary Insitu.

“The next generation of autonomy isn’t limited by platforms; it’s limited by perception. Machines can’t act autonomously if they can’t truly perceive their environment. In the moments that matter most, systems are still flying blind. Data is collected but not understood in time to act. That’s the problem we set out to solve,” said Arkeus CEO and co-founder Simon Olsen.

“Decision making is moving closer to the edge and that requires a completely different approach to sensing and autonomy.

“Our ambition is simple … To ensure that any autonomous system operating in complex environments has the ability to see, understand and act with certainty.”

Arkeus’ core technology, including hyperspectral optical radar systems, captures multiple layers of visual data simultaneously, allowing AI to detect, classify and track objects across any domain, day and night, and even in degraded or contested environments where traditional sensors struggle.

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