Labelup, a company specializing in AI infrastructure platforms, began its IPO subscription at 10 a.m. The finalized offer price is 19,000 won per share, and the offering size based on this price is 41.42 billion won. The institutional investor competition ratio recorded 284.53 to 1.

Offering Terms and Subscription Method

The total number of shares offered by Labelup is 2.18 million. The company's originally proposed hoped-for price range was 19,000 to 22,000 won, and the final offer price was set at 19,000 won, the lowest end of the range. The institutional investor competition ratio for this offering was tallied at 284.53 to 1. The number of shares allocated to retail investors ranges from 545,000 to 654,000. The underwriting securities firm is NH Investment & Securities, and retail investors can participate in the subscription through that firm. With the offer price set at the bottom of the hoped-for range, attention is focused on how investors will respond in the retail subscription.

What Kind of Company Is Labelup

Labelup is an AI infrastructure platform company founded in April 2015. It develops and supplies software that efficiently manages the computing resources needed in the process of developing and operating AI technology. The company's key goals are improving AI accessibility and securing scalability. It focuses its business on lowering the barriers to entry in AI development environments, which require large-scale computing resources and specialized personnel, thereby supporting the use of AI technology not only by companies but also by public institutions, research organizations, and various other sectors.

Flagship Product 'Backend.AI'... Supporting GPU Resource Management

Its flagship product is 'Backend.AI,' an AI infrastructure operations platform. This platform is software that comprehensively supports the entire process from AI model development to training, deployment, and operation. In particular, it efficiently manages high-performance computing resources such as graphics processing units (GPUs) required for AI computation and provides features to optimize various AI workloads.

Training and operating AI models require substantial computing resources. In environments where multiple users utilize computing resources simultaneously or large-scale AI models are operated, resource allocation and management are cited as key challenges. Backend.AI provides the functions necessary for operating and managing these computing resources and is designed to be applicable to AI workloads of various scales, from small research and development projects to commercial services using large language models (LLMs).

Revenue is generated from software licenses and technical support related to Backend.AI. The business is structured around software that operates and manages AI infrastructure rather than hardware itself. As the scope of AI technology use widens, operational efficiency and scalability of computing resources are emerging as major challenges that related companies must solve, and Labelup supplies AI infrastructure operations software in this area.

Listing Considerations and Investment Cautions

This offering draws attention as it marks the entry of a company whose main business is an AI infrastructure platform into the KOSDAQ market. However, it is difficult to predict the post-listing share price direction solely based on the fact that the offer price was set at the bottom of the hoped-for range or on the institutional investor competition ratio. Actual IPO allocation results and post-listing share prices may vary depending on subscription demand and market conditions.

[This article is intended to provide information for investment reference and does not recommend the purchase or sale of any specific stock. Content may vary depending on market conditions. Investment decisions and the responsibility for them rest with the investor. AI assisted in part.]