Education data standard
CASE implementation
CLIPO implements the CASE standard to exchange academic standards and competency data.
Competencies and Academic Standards Exchange
Explore the CASE standard (opens in a new tab)A foundation for growth, wherever people learn and work.
We build CLIPO to support teachers through assessment design, scoring, feedback, and learning records. We also develop custom assessment AI for institutions and businesses.
CLIPO drafts scoring rationales, feedback, and learning records. Teachers review, refine, and approve the results.
Bring AI scoring into education, training, and competency or certification assessments.
We design and optimize each solution around your assessment criteria and workflows.
We turn education and public-sector data into evidence for research and decision-making.
Our work spans dataset development, analysis, and the development of AI models and services.
Ministry of Science and ICT · IITP
National program for advanced foundational AI technologies
Advancing classroom assessment
and learning diagnostics with AI
We develop and validate AI in schools to support personalized learning—from assessing tasks and competencies to diagnosing and tracking what students know.
Telecommunications Technology Association
Near-perfect scoring agreement
QWK (quadratic weighted kappa) measures agreement between AI scores and the reference scores established for the test. A value of 1 means perfect agreement; larger differences between score categories lower agreement more sharply.
Across all school subjects Around 1,000 distinct classroom assessments
Assessment materials used in the QWK testText scoring test of the underlying assessment AI · Handwriting recognition excluded
Test report TTA-26-02012 · August 2026
Patents granted in Korea
Generate detailed scoring criteria aligned with learning standards and assessment methods.
Generate scores, supporting rationale, and feedback based on rubrics and learning standards.
Bring assessment results and teacher observations together in learning records, with supporting evidence.
Patent holder · Datadriven Inc.

1EdTech · Open standards for learning (opens in a new tab)
CLIPO implements the Competencies and Academic Standards Exchange (CASE) standard to represent academic standards and competencies in a shared, structured format.
Explore the CASE standard (opens in a new tab)Education data standard
CLIPO implements the CASE standard to exchange academic standards and competency data.
Competencies and Academic Standards Exchange
Explore the CASE standard (opens in a new tab)
Korean government security certification
CLIPO holds Korea’s cloud security certification for public-sector services.
CSAP-2026-006March 3, 2026–March 2, 2031
Certificate registry (in Korean; opens in a new tab)
Korean government designation
CLIPO is designated as an Innovative Product by the Korean government for public procurement.
Designated in 2025
View product designation (in Korean; opens in a new tab)We build AI that frees people to focus
on the work they are here to do.
Human judgment at the core.
Everything else, made simple.
We start with the purpose of the work and its wider responsibilities, then define where people need to decide and take ownership.
People responsible for the outcome must be able to review the work they produce with AI and explain how they arrived at it.
International partnerships
We welcome partners with the reach and resources to deliver at scale.
We prioritize CLIPO adoption and international expansion, alongside commissioned assessment AI, data analytics and AI development projects.
CLIPO is currently available in Korean. International scope, language support and availability are confirmed through consultation. Public-sector funding and procurement require the relevant approvals.
Completed in 2024
This study used international OECD data to examine four dimensions of education: academic achievement, subject knowledge, student agency, and relationships with others.
Through cluster analysis and comparative visualizations, Datadriven identified five groups of countries and examined Korea’s educational profile in an international context.
The findings provide an evidence base for humanities education policy informed by international benchmarks.
Completed in 2022
The School Enrollment Decline Index combines school-level data with projections of future student intake in the surrounding province or metropolitan area. Lower values indicate a faster decline in school size.
As part of a Korean Educational Development Institute study, Datadriven analyzed and visualized data at national, provincial, municipal, and neighborhood levels to assess changes in school size.
The findings support regional planning for declining school-age populations and policies for schools with shrinking enrollment.
Completed in 2021
We collected and analyzed 1,596 research papers and opinion articles using cluster and quadrant analysis. The study identified four major trends: ICT-driven educational change, the evolution of school subjects, declining school-age populations, and future education governance.
Commissioned by the Korean Educational Development Institute, Datadriven carried out ontology-based clustering. The findings were published in a journal indexed in the Korea Citation Index (KCI).
The analysis helps policymakers understand emerging directions and sources of uncertainty in school education, providing evidence to inform future policy.