Founded in 1995 by former Canadian Space Agency employee George DiNardo, Larus Technologies specializes in artificial intelligence and machine learning platforms for the defence sector – primarily the Canadian Armed Forces, global defence contractors and other militaries.
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An Ottawa company that has been developing AI tools for the military for nearly two decades is poised to go on a hiring spree over the next 12 months as rising defence spending in Canada and other Western countries creates a “once-in-a-lifetime opportunity” for growth.
Founded in 1995 by former Canadian Space Agency employee George DiNardo, Larus Technologies specializes in artificial intelligence and machine learning platforms for the defence sector – primarily the Canadian Armed Forces, global defence contractors and other militaries.
Launched as a consulting firm, Larus began delving into early forms of AI products in 2007, when DiNardo hired Rami Abielmona – a computer and electrical engineer who’d recently earned his PhD from the University of Ottawa and is now the firm’s chief technology officer – to develop products that used intelligent computer processing systems to crunch data long before anyone had heard of chatbots.
The firm DiNardo jokingly refers to as a “30-year startup” now works with the Canadian Armed Forces and two other militaries. But the little-known business believes it’s ready for a breakout.
This week, Larus announced it has been awarded a three-year, $2.5-million contract from the Royal Canadian Navy. Larus’ customized AI and machine learning tools will sift through reams of positional data from vessels located near Canada’s coasts in an effort to detect unusual activity and pinpoint potential threats such as foreign ships entering Canadian waters.
Headquartered in downtown Ottawa, Larus has mostly stayed under the radar despite being a local AI trailblazer. DiNardo is hoping that will change now that defence spending is suddenly in vogue, with Prime Minister Mark Carney pledging to boost the Canadian Armed Forces’ budget by $9 billion this year in a bid to meet NATO's defence spending target of two per cent of GDP.
“We do see this as an inflection point,” DiNardo told OBJ on Wednesday. “It’s something that we’ve been building towards for a number of years and we are ready.”
“We see this as a generational change for Larus – and not just Larus, but other Canadian AI/ML companies as well.”
The longtime tech exec says he’s glad the feds seem to be serious about committing more funding to defence with a focus on Canadian solutions, pointing to initiatives such as a plan announced earlier this year to create the Bureau of Research, Engineering and Advanced Leadership in Innovation and Science (BOREALIS), an agency aimed at bolstering knowledge in areas such as AI, quantum computing and cybersecurity.
DiNardo also cited the artificial intelligence Compute Access Fund, a new $300-million fund aimed at helping small and medium-sized enterprises finance AI computing infrastructure, as another tool that could help Larus compete against the big players. And he’s encouraged that PM Carney has touted the need to make it easier for Canadian companies to win Canadian defence contracts.
Larus landed its first contract with the Royal Canadian Navy in 2018, and it took the company another seven years to sign a second deal. But DiNardo said now that the firm has a track record with the armed forces, more business is already coming down the pipeline.
“Canada has been leading in the AI/ML space for years,” he said. “Now that establishment of being able to procure, being able to support and being able to use Canadian technologies has really helped us.”
While military customers remain Larus’s bread and butter, the company has been branching out to diversify its revenues.
Its growing roster of corporate clients includes Unilever, the consumer package goods giant behind brands like Dove soap and Hellmann’s mayonnaise. The company is tapping into Larus’s AI and ML know-how to help it set prices and calculate how long it should run discounts and other promotions in order to maximize revenues.

