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Smart Factory
2026-04-277 min read0

Manufacturing AI 24 Platform Launch — One-Stop AI Transformation Guide for SMEs

A practical guide to the Manufacturing AI 24 platform launched by MSS and TIPA — covering its three core functions, phased use cases for SMEs, and KITIM's consulting approach to diagnostic interpretation, supplier selection, and integrated government funding packages.

KITIM Consulting Team

What Is the Manufacturing AI 24 Platform

Manufacturing AI 24 is a one-stop AI transformation platform for SMEs launched in 2026 by the Ministry of SMEs and Startups (MSS) and the Korea Technology and Information Promotion Agency (TIPA). It consolidates previously fragmented services — smart factory applications, self-diagnosis, supplier matching, and manufacturing data analytics — into a single gateway, allowing SMEs to manage the entire AI adoption journey in one place.

The launch follows a major reorganization: the former Smart Manufacturing Innovation Promotion Group has been expanded into the AI Innovation Promotion Group, shifting policy focus from basic automation to AI- and data-driven manufacturing innovation (AX, AI Transformation). The government has committed to building a cumulative 12,000 smart factories by 2030, with over 30% classified as advanced level, and Manufacturing AI 24 serves as the execution hub of this roadmap.

Three Core Functions

1. Unified Smart Factory Application Gateway

Application intake, self-diagnosis (AX maturity assessment), consultant matching, and project settlement are all managed under a single account. Previously, applicants had to navigate KS certification bodies, TIPA, and regional Technoparks separately; the new platform is expected to cut average processing time by 30–40%.

2. Manufacturing Data Analytics Service

Data collected from MES, ERP, and IoT-connected equipment is sent to the cloud, where standardized algorithms automatically diagnose defect causes, equipment utilization, and energy efficiency, delivering reports back to the company. SMEs without in-house data scientists can now verify ROI on their own.

3. Supplier Matching System

From a pool of over 2,000 registered solution providers, SMEs can receive recommendations tailored to their industry, processes, and budget — and review quotes, contracts, and post-deployment feedback directly on the platform.

Phased Use Cases for SMEs

  • Before adoption (diagnose): Use the self-diagnosis module to measure AX maturity (Levels 0–5) and identify weak areas (data collection, analytics, automation)
  • During adoption (execute): Compare quotes from at least three matched suppliers, use standardized contract templates, and secure up to 75% government cost matching
  • After adoption (verify): Quantify pre/post changes in defect rates, utilization, and productivity through the analytics service, and use the results as evidence for next-year advanced-tier applications
  • How KITIM Adds Value

    As the platform becomes more capable, interpreting diagnostic results and designing strategy become the decisive factors in adoption success. KITIM brings differentiated expertise in the following areas:

  • Deep interpretation of diagnostic reports: Going beyond the AX maturity score to determine process-level priorities and payback periods
  • Supplier selection and negotiation: Narrowing the 5–10 recommended suppliers to the best industry fit, building line-item quote comparisons, and advising on negotiation strategy
  • Integrated government funding packages: Linking Manufacturing AI 24 with the AI Track (advanced), Automation Track, Basic Track, R&D, and certification programs to design packages worth KRW 50M–500M
  • Application Checklist

  • Business records: Update standard financial statements, employee insurance roster, and factory registration certificate
  • Manufacturing data permissions: Coordinate with MES/ERP vendors on extraction rights (API keys, automated CSV exports)
  • Manufacturing AI 24 registration: Prepare business and factory registration certificates, CEO digital certificate, and confirm manufacturing industry code (starting with C)
  • Key inputs for the proposal: Diagnostic scores, target solution categories (MES, SCADA, AI vision, predictive maintenance), and quantitative KPIs (e.g., 30% defect reduction, 15pp utilization improvement)
  • Contact KITIM

    Manufacturing AI 24 lowers the entry barrier, but turning it into real AX outcomes still requires strategic design across diagnosis → supplier selection → government funding integration → ROI verification. With over 500 successful smart factory and AI adoption engagements, KITIM partners with you end-to-end on your Manufacturing AI 24 strategy. Start with our free company diagnosis to identify your AX maturity and the best-fit support programs.

    Manufacturing AI 24AI Innovation AgencyAX TransformationSmart FactoryManufacturing Data
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