SYU secures 800 million won in seed funding

The Busan Creative Economy Innovation Center announced that SYU Co., Ltd., an AI agent-based work automation platform company and an excellent childcare company, has attracted a total of 800 million won in seed investment from Sunbo Angel Partners and Series Ventures.

In industrial settings and small and medium-sized enterprises, core tasks such as ordering, delivery, settlement, and documentation are conducted through various channels such as KakaoTalk, text messages, and email. However, the method of manually entering and reviewing these tasks into internal systems such as ERP has continuously resulted in operational risks such as missing vouchers and delayed settlement.

To address these issues, SYU developed a platform that uses AI to understand human-sent messages, automatically generates business records, and connects the entire process from invoice creation to settlement and approval within the company system. Its key feature is that AI interprets unstructured messages like "order request" and "settlement request" and automates repetitive input tasks.

The platform is designed to be flexible and adaptable to a variety of corporate environments, utilizing APIs, Excel, and templates, freeing it from dependencies on specific ERP platforms like Douzone and SAP. This allows companies to reduce errors and omissions and standardize work processes without significantly altering existing ones.

Investors reportedly evaluated the technology's ability to automatically convert messages into ERP tasks, its structure that minimizes repetitive input, and its scalability for integration with various systems as key investment drivers. SYU plans to focus this investment on expanding industry-specific standard templates, enhancing consistency verification and error detection capabilities, expanding connectors and APIs, and preparing for global market entry.

Shin Jeong-hwan, CEO of SYU, stated, “We will enhance the operational stability of ordering, settlement, and documentation tasks by expanding industry-specific standard templates and enhancing automation accuracy,” and “We will strengthen the competitiveness of our products so that stable work can be processed even with minimal manpower in various industries.”


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