"Through our in-house developed advanced artificial intelligence (AI) operating technology, general facilities can reduce energy use by up to 25% and data centers by up to 30%. We aim to achieve energy savings rates on par with global companies."
Daiton CEO Kim Dong-hyun made the remarks Thursday at the company's business vision briefing held at L Tower in Yangjae, Seoul.
Daiton, which is preparing for an initial public offering (IPO) next year with a target corporate valuation of 1 trillion won, is accelerating the development of its AI energy optimization management system to address power shortages caused by the spread of AI.
In particular, Daiton operates businesses including next-generation AI data center (AI DC) solutions, AI energy management systems (AI EMS), intelligent safety management solutions (Physical AI), and AI education and consulting, all leveraging a neural network engine based on its proprietary AI neural network model called the Restricted Boltzmann Machine (RBM).
The AI DC solution provides integrated services ranging from optimal architecture design for servers, networks, and storage to the construction of high-performance infrastructure for large-scale training and inference.
Daiton has also developed a data-center-specific "AIOps (AI-based IT operations)" system to secure the stability and efficiency of data centers. The system uses RBM-based technology that autonomously recognizes anomalies on-site and predicts the likelihood of accidents or incidents. Through this, it detects various warning signs including data center power systems, traffic, financial transaction anomalies, and unauthorized server access.
Daiton is currently building a data center program manager (PM) one-stop line at five data centers based in the Seoul metropolitan area.
According to the company, its AI EMS solution has secured unrivaled technology in Korea. Based on its proprietary AI neural network platform, it captures anomalies within data centers and predicts accidents or incidents in advance.
"Hyundai Steel's Pohang plant reduced power consumption by 13% after introducing the AI EMS solution," Kim said. "We have also recently succeeded in developing technology that can reduce power consumption even more significantly."
The Physical AI solution is a service that applies vision AI and anomaly detection technology to hazardous sites, detecting and responding to safety incidents in real time.
Daiton plans to accelerate the development of AI agents to secure future growth. "By 2027, we plan to diversify our business by developing AI agents based on reasoning models that autonomously perform logical thinking," Kim said.
"By 2028, our ultimate goal is to complete 'SLM 27.0,' a Korean-style Palantir model based on RBM, and build a sovereign AI system," he added.
Daiton has set revenue targets of 9 billion won in 2026, 15 billion won in 2027, 23 billion won in 2028, and 34 billion won in 2029.
