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SoyNet develops software that accelerates AI model inference on resource-constrained devices.
Founded in 2018 and based in Seongnam, South Korea, SoyNet develops an inference engine that speeds up AI models built with TensorFlow, PyTorch, and Caffe. Its software supports applications including computer vision, natural language processing, and time series analysis. In July 2021, it raised KRW 1 billion from Industrial Bank of Korea, SEOIL E&M, and returning investor Plan.H Ventures.
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