2026 AI Voucher

Three moments where enterprise AI stalls

  • Data you cannot use

    Regulation and privacy block its use in AI training

    #LLM Capsule #DTS

  • Not enough data

    Missing values and bias cap AI performance

    #DTS #SynTitan

  • AI runs are unstable

    Shifting data state makes AI results unreliable

    #SynTitan

CUBIG converts enterprise data to AI-ready state and provides the data layer where real AI projects can run.

Up to KRW 200M government voucher — bring your enterprise data to AI-ready state

AI Voucher inquiry (Demand companies)
Industry use cases

Across every industry, AI stalls for the same reasons Once the data environment is ready, AI starts working

  • 01

    Finance & Insurance

    • Anomaly transaction detection
    • Customer risk analytics
  • 02

    Manufacturing

    • Production demand forecasting
    • Equipment anomaly detection
  • 03

    E-commerce

    • Customer churn prediction
    • Personalized recommendations
  • 04

    Public sector

    • Administrative data analytics
    • Policy demand forecasting
  • 05

    Healthcare

    • Medical-data AI research
    • Data generation
  • 06

    Platform

    • Large-scale log data
    • User behavior analytics
About the program

What is the AI Voucher program?

The AI Voucher program is a government scheme that funds SMEs and mid-sized companies adopting AI solutions, covering up to KRW 200M per project. Demand companies form a consortium with an AI solution supplier and run real AI projects — data analysis, AI model development, AI service deployment.

Eligible
SMEs, mid-sized firms, medical institutions, micro-enterprises
Funding
Up to KRW 200M per project
Tracks
General, AI chip, micro-enterprise, global — four tracks *Amount may differ per project after the budget review
CUBIG scope
  • AI-Ready data environment
  • Synthetic-data training sets
  • LLM usage + data security
  • AI data analytics + model deployment
Application
2026.02.07 ~ 2026.03.30
Execution
2026.05 ~ 2026.11.30
Recommended for

The AI Voucher fits these kinds of companies

01

Companies needing data sharing

When customer info, finance, or confidential data restricts external AI use

02

Lots of data, no AI use

Plenty of data, but unstructured, scattered, and low-quality — hard to train or analyze with

03

AI results you cannot trust

AI model in place, but unstable execution makes results keep changing

Process

How the AI Voucher works in five steps

  1. 1

    Pre-consultation with CUBIG

    Pre-review of AI goals and data environment

  2. 2

    Project design

    Define AI Voucher project structure and scope

  3. 3

    Submit documents

    Write the project plan and apply

  4. 4

    Tripartite agreement

    Agreement among demand company, CUBIG, NIA

  5. 5

    Execution

    Build and operate the AI system

AI Voucher benefits

Solve the data problems that stall AI projects

Up to KRW 200M government voucher — convert enterprise data to AI-ready state and build the execution environment

Voucher supply

CUBIG removes data bottlenecks across the full AI lifecycle — from adoption to operation

SynTitan is the data operations platform that manages AI execution so enterprise data stays usable in production. DTS and LLM Capsule secure data while expanding usable scope, so internal data can be used safely with AI.

When AI results keep shifting Platform
#AI-Ready data #Stable AI ops #Data state

AI-Ready Data Platform

Data operations platform that manages AI execution

  • AI execution data state management (Release State)
  • Clean data structure, build AI-Ready datasets
  • AI run history and result tracking
  • Compare AI results across data changes
When data is missing Product
#Synthetic data #AI training data #Data scarcity

Engine that turns unusable data — quality, scarcity, access — into AI-ready data

Synthetic Data Generation

  • Data augmentation for scarcity problems
  • Privacy-preserving data generation
  • Datasets for AI training and analytics
When data is unusable Product
#AI Gateway #Sensitive data #Enterprise data

AI Gateway that de-identifies sensitive data locally so any LLM stays compliant

Sensitive-data detection and protection

  • Data security across AI usage
  • Privacy-first AI data environments
  • Secure bridge between internal data and AI systems
Proven in the field

A wide range of companies are already working with CUBIG

Q. What was the hardest part of starting the project?

Customer transaction data contains PII and sensitive info, so we could not use it directly to train models. Regulation also made external environments hard.

Q. What changed with CUBIG solutions?

LLM Capsule detected and de-identified sensitive info, and DTS produced experiment-ready data without exposing the source.

Financial firm A Data analytics team, Kim

Q. What problems came up during AI model development?

We had service data but not enough for training. Specific event and pattern data was missing, so model performance was unstable.

Q. What changed with DTS?

We expanded training data with synthetic data that preserved the statistics of the original. Class imbalance also improved.

Manufacturer B DX team, Han

Q. What problems came up running AI in production?

The model itself was fine, but shifting data state changed the results. We could not even track which data state a run used.

Q. What changed after adopting SynTitan?

We could pin the data state at run time and compare results across runs. Reproducing and analyzing AI outcomes got much easier.

Public/research org C Data planning team, Ahn

Unlock data for AI — CUBIG makes it real.

Use the AI Voucher to bring enterprise data into AI-ready state and build an AI environment that actually works.

Voucher inquiry