Sije
An IT-based solution company that innovates the overall production system by connecting manufacturing members as one.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor | €0.0 | round | |
| investor investor | €0.0 | round | |
* | KRW2.0b | Seed | |
| Total Funding | 000k | ||
| USD | 2022 |
|---|---|
| Revenues | 0000 |
| EBITDA | 0000 |
| Profit | 0000 |
| EV | 0000 |
| EV / revenue | 00.0x |
| EV / EBITDA | 00.0x |
| R&D budget | 0000 |
Source: Dealroom estimates
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Sije, founded in May 2021 by CEO Shin In-jun, is a technology company focused on the digital transformation of the apparel supply chain. Based in Incheon, South Korea, the firm aims to address inefficiencies in the traditionally labor-intensive clothing industry by integrating advanced IT solutions. The company has secured approximately $1.47 million in funding through seed and Pre-A rounds, with investors including Odastone Investment, Kingospring, and the Korea SMEs and Startups Agency.
Sije's business model revolves around providing AI-powered solutions that optimize the entire apparel manufacturing process, from sourcing to production monitoring and shipment. The company serves apparel brands, trading companies, and manufacturing factories, primarily in Southeast Asia, with established partnerships in Vietnam and Indonesia. Revenue is generated through its Software-as-a-Service (SaaS) platform, the sale of proprietary IoT devices, and industrial engineering consulting services. The firm's core objective is to mitigate rising labor costs and supply chain complexities, ultimately working towards autonomous garment manufacturing.
The company's product suite includes two main offerings: "Monolis" and "Monolog". Monolis is a web-based SaaS solution designed to streamline workflows and enhance production management by integrating functions like Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), and Product Lifecycle Management (PLM). Monolog consists of IoT devices that collect and analyze real-time production data from the factory floor, enabling predictive issue detection and process visualization. Together, these products create a digital twin of the factory, allowing for remote monitoring and management. This system has demonstrated the ability to increase productivity by over 20% in partner factories. Sije has received accolades for its approach, including an iF Design Award and the Minister of Science and ICT Award in South Korea.
Keywords: apparel supply chain, smart factory, digital twin, garment manufacturing, production optimization, SaaS, IoT, industrial engineering, supply chain management, textile technology, apparel industry IT, production data analytics, sourcing management, factory automation, clothing industry, manufacturing execution system, product lifecycle management, real-time monitoring, production efficiency, supply chain visibility