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Why it matters: Building realistic operational scenarios still takes specialized expertise and weeks of manual work. That makes it hard to adapt training and planning as missions change. Larus says ScenarioGPT cuts that time from weeks to minutes.
Driving the news: The National Research Council’s Industrial Research Assistance Program (NRC IRAP) will provide advisory services and up to $800,000 toward a $1.7-million research and development project on ScenarioGPT. The tool uses large language models to turn natural-language prompts into executable military scenarios.
The details: Larus will use the project to:
build Canadian and NATO doctrine, tactics, techniques and procedures into the tool
add an online interface and standardized APIs
validate interoperability with partner systems
ScenarioGPT also works with Larus Foresight, the company’s platform for fusion, analysis, simulation and optimization. Larus says the pairing improves the reliability and traceability of AI-generated outputs.
What they’re saying: “This project advances ScenarioGPT’s readiness for integration while enhancing its core capabilities,” said George DiNardo, CEO of Larus Technologies.
“Instead of requiring specialized technical workflows, users can generate executable scenarios through human language, making advanced planning capabilities faster, more intuitive, and easier to integrate into existing defence systems,” said Rami Abielmona, the company’s chief technology officer.
By the numbers:
$1.7 million: total project cost
$800,000: maximum NRC IRAP contribution, just under half the total
The bigger picture: Larus is pitching ScenarioGPT as dual-use, with civilian applications in logistics, supply chains, route planning, emergency management and procurement. Larus is also one of eight founding partners in Calian’s Northstar defence development lab, built with Invest Ottawa.
