From data collection to AI prediction — designed together as your supplier
When small and mid-sized manufacturers use government support to build a new smart factory or advance an existing one, Purple Delta joins as the solution supplier: shop-floor data collection, analytics dashboards, and AI quality and equipment prediction, designed and delivered as one system.
SMART FACTORY GUIDE
Check readiness, compare support programs and plan process improvements with PurpleFactory.
Start self-assessment2026 notice examples · Verified September 27, 2026 · The rounds below are closed. Check official notices for subsequent or regional rounds. Caps are not guaranteed awards; contributions, VAT and overlapping-award restrictions follow each notice.
Up to KRW 200 million
Process advancement for Korean SMEs and mid-sized manufacturers
Up to 50% of project cost; up to 9 months. Target-level limits include two awards and KRW 250 million cumulative support; see the notice.
Application window: 2025.12.08–2026.01.07
Read official Bizinfo notice (new tab)AI factory: up to KRW 200 million
Korean SMEs and mid-sized manufacturers seeking an AI smart factory
AI factory: up to 9 months. Data collection/validation is a separate category capped at KRW 50 million and 6 months; amounts are not an automatic combined award. See the notice for contribution rules.
Application window: 2026.03.19–2026.04.20
Read official Bizinfo notice (new tab)Up to KRW 600 million
Korean SMEs and mid-sized manufacturers with an established or verified Intermediate 1+ factory
Up to 50% of project cost, over 2 years, capped at KRW 300 million per year. Supports planning and AI/digital-twin implementation.
Application window: 2025.12.08–2026.01.07
Read official Bizinfo notice (new tab)These are implementation steps, separate from official factory-level ratings.
Identify process flow, recurring issues, owners and goals.
Standardize equipment, sensor and work records; verify quality.
Connect MES/ERP and monitor production and quality metrics.
Predict anomalies and validate them against real outcomes.
Execute approved actions and expand to other lines.
Check your readiness with five questions. Answers are not stored or transmitted. This is preparation guidance, not an official factory-level assessment or funding eligibility decision.
Define advancement goals and KPIs from an on-site assessment, and prepare the proposal and supplier agreement together.
Collect and refine equipment, sensor and MES data into standardized DataSpecs ready for analysis.
Track production, quality and equipment KPIs in real time through card-based dashboards and the Lab.
Train and deploy defect root-cause, process-condition recommendation and anomaly detection models on your data.
Manuals, training and maintenance so your own team can run the system after go-live.
Measure the KPIs the program requires and prepare the final report with you.
Review processes, data and systems and define the scope of advancement.
Prepare the proposal and quotation and sign the adopter–supplier agreement.
Deliver in stages: data collection → dashboards → AI prediction modules.
Train the team, hand over operations, measure KPIs and close the report.
Earlier detection of defect causes and optimized process conditions lower defect rates.
Shop-floor data flows into live dashboards, removing reporting delays.
Spec-based delivery lets the same structure roll out to other lines and plants quickly.
Eligibility, funding levels and schedules follow each year's official announcements from the responsible ministry and agency. We walk you through the current requirements and documents when you get in touch.
From assessment and application to build and reporting, we stay with you as your supplier to the end.