Deeplite raises $6M seed to deploy ML on edge with fewer compute resources
One of the issues with deploying a machine learning application is that it tends to be expensive and highly compute intensive. Deeplite, a startup based in Montreal, wants to change that by providing a way to reduce the overall size of the model, allowing it to run on hardware with far fewer resources.
Deeplite provides an AI-Driven Optimizer, Neutrino, to make Deep Neural Networks faster, smaller, and energy-efficient from cloud to edge computing. Neutrino streamlines production deployment for sophisticated deep learning systems. Neutrino uses AI and a novel DNN design space exploration to rapidly make production-ready deep learning for real-time, large-scale and resource-limited environments.
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Nick Romano is CEO of Deeplite, a Canadian AI software company dedicated to enabling AI for everyday life. Nick is a serial entrepreneur delivering successful outcomes through leadership, integrity, innovation, and empowerment for over 20 years. Prior to Deeplite, Nick was co-founder and CEO of several …
One of the issues with deploying a machine learning application is that it tends to be expensive and highly compute intensive. Deeplite, a startup based in Montreal, wants to change that by providing a way to reduce the overall size of the model, allowing it to run on hardware with far fewer resources.
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