Program Overview and Policy Background
The AI Application Rapid Commercialization Program launches in 2026 as a new track within the Smart Manufacturing Innovation Integrated Notice. Jointly led by the Ministry of SMEs and Startups (MSS) and the Ministry of Science and ICT (MSIT), this program injects KRW 68.1 billion into manufacturing AI solution and equipment R&D, accelerating commercialization of AI technologies immediately deployable on Korean manufacturing floors.
Policy Drivers
Manufacturing digital transformation urgency: Response to declining workforce and rising labor costsAI application market leadership: Global manufacturing AI market projected at USD 20B by 2027Inter-ministry collaboration: MSS (commercialization) + MSIT (core technology, validation)Multi-year roadmap: KRW 68.1B in 2026, scaling to KRW 200B cumulative by 2028Unlike conventional R&D programs that end at technology development, this initiative provides a full-cycle package covering development, validation, commercialization, and revenue generation.
Eligibility and Core Requirements
Applicant Qualifications
Companies with AI application products: Solution, equipment, or software at prototype stage or beyondSMEs and mid-sized firms in development: Core algorithms secured, commercialization viable within 12 monthsConsortiums recommended: Manufacturing AI suppliers + demand-side manufacturersEvaluation Criteria
Manufacturing applicability (30 pts): Process integration feasibility, interface compatibilityCommercialization speed (25 pts): Revenue generation within 12 monthsMarket potential and differentiation (20 pts): Competitive advantage, entry barriersTechnology readiness (15 pts): TRL 6 or higher recommendedCommercialization infrastructure (10 pts): Sales, CS, follow-on development staffSelf-Development vs Joint Development Tracks
Self-Development Track: Up to KRW 500M, 1-year, supplier aloneJoint Development Track: Up to KRW 1B, 1.5 years, supplier+demand consortium (5-pt bonus)Funding Scale and Cost-Sharing
Per-Project Funding Limits
Self-Development: Government grant up to KRW 500M, private match 25%+Joint Development: Government grant up to KRW 1B, private match 33%+ (10% cash)80–100 projects expected from total KRW 68.1B poolEligible Cost Categories
Personnel: Internal researchers up to 50%, new hires preferredEquipment and materials: GPUs, edge devices for AI training, validation materialsSubcontracted research: Up to 30% for university/government lab consortiumsIndirect costs: Up to 17% of recognized direct costsRevenue-Linked Recovery and Royalty Structure
Royalty: 10% (SMEs) to 20% (mid-sized) of grant, 5-year installmentRevenue-linked recovery: Additional recovery if cumulative revenue exceeds KRW 5B within 3 years post-completionSuccess/failure determination: 70%+ revenue target achievement = successProposal Writing Strategies for Higher Selection Rates
Market and Rapid Commercialization Evidence
Target market sizing: TAM/SAM/SOM analysis with domestic manufacturing AI market share goalsCustomer LOIs: Letters of intent from 3+ prospective demand-side firmsCompetitive analysis: Feature and price comparison of 5+ competing solutionsManufacturing Reference and PoC Results
Existing PoC data: Quantified metrics — XX% process efficiency improvement, XX% defect reductionPilot deployment cases: Trial operations with 1–2 partner companiesScalability evidence: Cross-industry application potential of the same solutionKPI Setting Guide
Revenue targets: Year 1 KRW 500M, Year 2 KRW 1.5B, Year 3 KRW 3B — staged presentationProcess efficiency: 30% cycle time reduction, 15% OEE improvementQuality improvement: 50% defect reduction, 99%+ inspection accuracyCustomer acquisition: 10+ paying customers by program completionLeveraging KITIM R&D Consulting
KITIM brings deep expertise in manufacturing AI R&D consulting, including the AI Application Rapid Commercialization Program.
Consulting Service Scope
Pre-application fit assessment: TRL evaluation + supplier/demand track recommendationLinked program identification: Smart Manufacturing Innovation Center, DIH, AI Voucher follow-on matchingProposal review and refinement: Bonus point optimization per evaluation criteria, quantitative KPI designPitch coaching: Mentoring by former evaluators, 2+ mock presentationsPost-selection project management: Annual evaluation, settlement, royalty payment supportFollow-on program connection: TIPS, Deep-Tech TIPS, global expansion programsThree factors determine selection: market potential, commercialization speed, and quantitative KPIs. With 500+ consulting projects and an average 65%+ R&D selection rate, KITIM helps your company secure its share of the KRW 68.1B fund. Request your [free consultation](/contact) today.
