Deepfine, a Spatial AI-based industrial artificial intelligence (AI) platform corporations, said on the 18th it has raised a 10 billion won series B.
Hyosung Ventures, POSCO Venture Capital, and LIG D&A-IBKC took part in the investment. The cumulative amount raised is about 18 billion won. Investors highly valued Deepfine's experience building solutions across industrial sites, its technology for integrating with existing systems, and its platform architecture that can expand into multiple industries.
Deepfine is developing an industrial AI agent platform that digitizes workflows on industrial sites and supports workers' tasks with AI. By combining smart glasses, vision AI, Spatial Computing, and on-site data analytics, the platform consolidations the entire field operation process—from work instructions and execution guidance to verification, recording, and analysis—into one platform.
It is currently supplying solutions to major corporations in the MRO sectors of global manufacturing, shipbuilding, defense, maintenance, and repair, as well as to large domestic logistics corporations. In logistics sites, it supports the digitization of picking, inspection, and sorting tasks.
Deepfine plans to invest the funds secured this time in advancing its industrial AI agent technology and expanding its software-as-a-service (SaaS) business in logistics and MRO. Based on large corporate clients, it will build standard models for each industry and strengthen operations analytics functions grounded in on-site data. While preparing to enter global markets, it also plans to accelerate the recruitment of key research and development talent.
Deepfine CEO Kim Hyun-bae said, "This series B investment is significant in that Deepfine has been recognized as a corporations that consolidations digital transformation at industrial sites into operational outcomes," and added, "Deepfine will build a platform that simultaneously boosts productivity, accuracy, and safety for corporate clients through AI technology that understands the on-site work context and supports workers' decision-making and execution."