BluWave-ai Employee Directory

Technology, Information and InternetCanada11-50 Employees

BluWave-ai is focused on driving the proliferation of renewable energy and electric transportation worldwide. Our solutions apply artificial intelligence (AI) cloud software to optimize the cost, carbon footprint and reliability of different energy sources, both renewable and non-renewable, in real-time. This lets our customers – utilities, fleet operators and electricity system operators to improve their energy-related decision making in planning and in live systems to decrease costs and carbon footprint. Every day our employees come to BluWave-ai with the mission to decarbonize the planet by using hardware assets more efficiently with AI software while we build the world's premier renewable energy and transport electrification AI company based in Canada.

In 2017 we started BluWave-ai to bring state-of-the-art techniques from supercomputing, artificial Intelligence, and edge computing to the world of distributed renewable energy. With distributed resources, clean energy can be produced anywhere by anyone, moving the world away from centralized carbon-based emitting sources. But real-time computing is needed to predict production and optimize how to use these resources.


Electrical output from renewable energy sources like wind and solar fluctuates and is inherently difficult for utilities to manage. This results in renewables generation often being under-utilized, with operators relying on fossil fuels as a fallback. 

Our grid energy optimization platform balances the cost, availability, and carbon footprint of different energy sources - renewable and non-renewable - with energy demand in real-time. 

We are improving the use of wind and solar energy by 10-20 percent. We work with electricity utilities, enterprises, electric fleet operators, large campuses, government operations, net zero communities, and remote/off-grid clients around the globe to make their hardware investments smarter with our AI-enabled SaaS software.

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