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OmniML develops tools for creating and deploying machine learning models on edge devices.
Founded in 2021, OmniML develops a platform to design, train and deploy machine learning models across edge hardware, including GPUs, AI systems-on-chip and microcontrollers. Its tools automate hardware-aware model development for on-device AI inference. The California-based company raised USD 10 million in seed funding in March 2022, led by GGV Capital with participation from Qualcomm Ventures and Foothill Ventures.
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