K-Manufacturing AI Workflow Platform “DAXI” Unveiled, Aiming to Address Key Challenges in Manufacturing

 Miso Information Technology to Launch Next-Generation Intelligent Manufacturing AI Platform ‘DAXI’

Miso Information Technology (CEO Nam Sang-do), a multimodal data platform company, announced on the 11th that it will officially launch DAXI, a next-generation intelligent manufacturing AI platform designed to automate and optimize complex processes at manufacturing sites using AI technology.

As the Korean government accelerates the artificial intelligence transformation (AX) of the manufacturing sector through the ₩150 trillion National Growth Fund, demand for manufacturing-focused AI solutions is rapidly increasing. In this environment, DAXI is drawing attention as a practical platform supporting AI-driven transformation across industrial sites.

The core features of DAXI include:

• DSL-based AI workflow automation specialized for manufacturing
DAXI provides automation based on a domain-specific language (DSL) tailored to manufacturing environments. The platform detects process changes and defect (NG) events in real time—key elements of production and quality management. Manufacturing managers can design and execute AI-driven workflows without programming expertise, enabling end-to-end autonomous manufacturing processes through a single platform.

• Cloud-native scalability and flexibility
Built on a microservices architecture with container-based deployment, DAXI can be flexibly expanded according to the size and characteristics of each manufacturing environment. Generative AI automates analysis, evaluation, and verification tasks traditionally performed by humans, supporting the consistent generation of high-quality reports and operational outcomes.

• Addressing the manufacturing “triplet” challenge
DAXI is designed to resolve the three major challenges commonly faced by manufacturing sites: investment burden, workforce shortages, and difficulty proving AI effectiveness.
– Initial AI adoption costs are reduced through cloud-native deployment, particularly benefiting small and mid-sized manufacturers.
– Dependence on data and AI specialists is minimized through standardized workflows and autonomous process control.
– Productivity and competitiveness improvements are quantitatively demonstrated through manufacturing data analysis and predictive modeling.

Based on these capabilities, Miso Information Technology was recently selected as an “AI Factory Specialized Company” by the Ministry of Trade, Industry and Energy and the Korea Institute of Industrial Technology Planning and Evaluation (KEIT), officially recognizing its technological capabilities and applicability in real industrial environments.

Beyond core manufacturing sectors such as secondary batteries, semiconductors, displays, construction, and chemicals, DAXI is being applied to pharmaceutical and bio manufacturing as well as industrial safety. In parallel, the company’s AI-based IoT platform Smart IoT Prism supports productivity improvement and safety enhancement by collecting, processing, analyzing, and visualizing IoT data from manufacturing sites. The solution converts IoT data into actionable insights through generative AI-based Q&A, time-series analysis, and anomaly detection, and is currently used in smart factory initiatives at companies including Lotte Engineering & Construction, Hyundai Steel, and EcoPro.

Miso Information Technology is also contributing to industrial safety by developing domestic SoC-based on-device AI wearable devices to enhance worker safety and reliability in manufacturing and semiconductor processes. These devices are integrated with SafeWE, an ontology-based industrial safety and risk assessment solution, to support the prevention of serious workplace accidents.

“Miso Information Technology understands the structural challenges of manufacturing sites—such as triplet issues and 4M factors—better than most,” said Nam Sang-do, CEO of Miso Information Technology. “With manufacturing data and domain-specific AI technology, we aim to enhance the competitiveness of domestic manufacturers and support the global expansion of K-manufacturing.”

Meanwhile, as Korea shifts toward a technology-driven venture ecosystem, the number of companies with annual revenues exceeding ₩100 billion is expected to surpass 1,000 by 2025. Expanded government support for global expansion and mid-sized enterprise growth is expected to create positive momentum for Miso Information Technology’s manufacturing and non-medical data businesses, global expansion efforts, and future IPO plans.

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