Lomin selected as a member of the NVIDIA AI Startup Support Program
Document AI specialist Lomin, led by CEO Kang Ji Hong, announced on the 12th that it has been selected as a member of NVIDIA Inception, a global program supporting innovative AI startups.
NVIDIA Inception is designed to help AI-focused startups grow and scale globally, providing essential resources across the company's lifecycle. These resources include expert guidance, technology development support, connections to global venture investors, and joint marketing to boost brand visibility, all aimed at fostering growth into global enterprises.
Lomin, a leader in document AI technology, offers a comprehensive range of AI solutions for document processing and automation. Its proprietary platform, Textscope Studio, supports advanced document parsing and understanding and provides full document AI model training capabilities (ML Ops). The platform excels in precise recognition of various unstructured document formats, flexible deployment options for business environments, and a user-centric, efficient learning environment.
As a member of NVIDIA Inception, Lomin will gain access to cutting-edge GPU technology and AI platforms, enabling the company to accelerate the development of its document AI technologies. In particular, Lomin plans to focus on advancing its document-centric Retrieval Augmented Generation (RAG) platform, Prism.
CEO Kang Ji Hong expressed his excitement about joining the NVIDIA startup program, stating, “We are thrilled to be part of NVIDIA’s initiative for AI industry growth. Through collaboration with NVIDIA, we plan to develop even more innovative AI technologies, further strengthening our global market competitiveness.”
Meanwhile, Lomin was recently selected as a promising startup for Shinhan Square Bridge’s global program and is set to attend TechCrunch Disrupt 2024 in Silicon Valley this October. During the conference, Lomin aims to network with global venture capitalists and corporate clients, exploring opportunities for collaboration.
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