Korean AI startup Datium, which is transforming the auto repair industry through cutting-edge technology, has successfully closed its pre-Series A funding round. The round saw participation from Korea Investment Accelerator and Seoul Techno Holdings.

With the newly raised capital, Datium plans to further enhance its flagship service, AutoHOS, by upgrading its AI-powered image recognition and automation processes. The company also aims to significantly expand its client base among auto repair shops.

Datium specializes in the primary collection and accumulation of automotive parts data, leveraging this proprietary dataset to build one of the world’s most advanced AI platforms focused on vehicle parts. Given the limitations of generic AI models in vertical-specific domains like auto repair, the company has built highly optimized, customized AI models based on its unique data collection capabilities.

Using this platform, Datium offers a distinctive service suite to repair shops, enabling automated blog marketing, parts ordering, and inventory management via both mobile and PC—distinguishing itself from traditional repair shop software.

Datium was co-founded by Gaon Yoo (CEO), In-sung Hwang, and Seung-chul Lee, all of whom are alumni of the edtech giant QANDA, where they gained hands-on experience in operating large-scale AI-powered services. CEO Yoo, a graduate of Seoul National University’s Computer Science Department, leads a team of top-tier talent, many of whom also hail from SNU.

Commenting on the investment, Sang-hoon Byun, Investment Manager at Korea Investment Accelerator, stated: “Datium has developed an irreplaceable service that significantly boosts mechanical productivity in an industry that has seen little change in decades. We look forward to their growth as a global leader, backed by their strong early metrics.”

Datium’s CEO Yoo added: “South Korea’s auto repair services are affordable and high-quality, yet often underappreciated. Our goal is to empower hardworking repair shops and make their operations easier. We hope to become the ‘Cursor of auto repair’—a widely-used tool just like the AI coding service Cursor.”