AI-driven approach

By integrating AI-driven modeling and machine learning, we streamline enzyme development and surpassing the limitations of conventional methods in both speed and optimization potential.

Broad enzyme portfolio

Through continuous screening of diverse enzyme variants across multiple plastic substrates and reaction conditions, we systematically expand a robust enzyme portfolio optimized for varied degradation and recycling applications.

Big data with high quality

Our degradation screening platform enables real-time, high-resolution data acquisition at short intervals, providing comprehensive insights into the entire degradation process.

High prediction quality

Given these advantages, our approach enables high predictive accuracy, leading to more effective enzyme optimization and significantly reducing the number of iterative design cycles.