ImpactivAI Wins Deputy Prime Minister and Minister of Science and ICT Award at Korea Impact Tech Awards

Three Consecutive Years Winning the Minister of Science and ICT Award in 2024 and 2025
Recognized for Innovation in Industrial Demand and Price Forecasting with Quantum AI-Based Prediction Technology

ImpactivAI, a company specializing in AI demand forecasting led by CEO Doohee Jung, announced on April 22 that it received the Deputy Prime Minister and Minister of Science and ICT Award at the 2026 Korea Impact Tech Awards ceremony for its quantum-circuit-based AI prediction solution, Quantum Deepflow.

Other companies that received the Deputy Prime Minister and Minister of Science and ICT Award at this year's Impact Tech Awards include Samsung Electronics, Electronics and Telecommunications Research Institute (ETRI), ELICE Group, SWM, and Geeksoft.

By winning the Minister of Science and ICT Award for the third consecutive year—following 2024 and 2025—ImpactivAI has once again demonstrated its ongoing innovation and technological competitiveness in the field of industrial AI forecasting technology.

Quantum Deepflow is an industrial prediction system leveraging quantum AI, characterized by its ability to precisely forecast raw material demand and prices in the manufacturing sector, thereby optimizing corporate procurement strategies and risk management. This award recognizes the technological differentiation that overcomes the limitations of conventional AI prediction models and acknowledges real-world industrial application achievements.

Until now, deep learning-based prediction models used in manufacturing have shown clear limitations when dealing with highly volatile and noisy data environments, such as the raw material markets. Quantum Deepflow addresses this by directly incorporating the core properties of quantum mechanics—such as entanglement, superposition, and quantum parallelism—into its prediction algorithms. Utilizing quantum computing's ability to calculate numerous possibilities simultaneously, the solution achieves accuracy and computational speed that surpass the limits of traditional deep learning prediction technologies.

The core technology of Quantum Deepflow is a hybrid prediction framework, which refines deep learning and transformer-based architectures by integrating quantum technology into a quantitative model structure.

As a result of applying this hybrid framework, major prediction error indicators such as RMSE, MAE, and MAPE have all shown significant reductions compared to conventional deep learning models. Notably, in 30-day futures price predictions for copper, nickel, gold, and aluminum, the overall prediction accuracy improved by approximately 49% over traditional deep learning approaches.

In addition, ImpactivAI has established its own technological competitiveness across the entire AI demand forecasting sector. The company is developing proprietary prediction methodologies to respond to extreme market fluctuations such as Black Swan events, and is strengthening its technological differentiation by filing a total of 72 patents in the fields of demand forecasting and time series analysis.

Doohee Jung, CEO of ImpactivAI, stated, "Our company has continuously accumulated technological depth by focusing on the single area of demand forecasting. In particular, we proactively adopted quantum AI technology to solve predictive challenges in highly volatile environments where existing AI approaches face clear limitations."

He went on to say, "Quantum computing is a core technology that will bring significant changes across industries in the future. ImpactivAI aims to secure differentiated competitiveness by leading the application of this technology in the prediction field and to establish a strong technological position in the upcoming quantum era."

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