Naver D2SF Invests in Data Generation and De-identification Startup 'Qubic'

Naver's startup incubation organization D2SF announced on the 5th that it has made a new investment in the data generation and de-identification technology startup 'Qubic.' Qubic is a startup that has independently developed differential privacy technology, which is rare in Korea.

Qubic developed an artificial intelligence (AI) data generation solution using differential privacy technology. Differential privacy technology is a privacy-enhancing technique that injects noise into data to de-identify sensitive information. In a situation where the global competition for large-scale AI is intensifying, differential privacy technology is receiving high attention as a solution that effectively resolves data privacy and silo phenomena (the inability to share data between organizations and companies). Global companies such as Apple, Amazon, and Facebook have internalized this technology and are utilizing it in their services.

Qubic applied differential privacy technology to AI models to develop a data generation solution that has a high similarity to the original data while reducing the risk of exposing sensitive information. Its strengths lie in fast and efficient data processing, and it is currently collaborating with various companies and institutions. In early 2024, it plans to complete an AI data sharing and analysis platform that automates data preprocessing and post-processing, and to launch full-scale business activities.

Baek Ho, the CEO who founded Qubic in 2021, is a rare expert in differential privacy technology in Korea. He possesses outstanding capabilities and diverse project experience in the field of AI data privacy technology.

Yang Sanghwan, leader of Naver D2SF, said, "Although data and content production based on large-scale AI models is becoming active, if the original data can be easily inferred, it inevitably leads to data privacy issues," adding, "Qubic will not only turn data trapped by issues such as sensitive information or corporate security into usable resources but also establish itself as an essential solution for creating safe generative AI."

This content was produced with the assistance of AI translation services.