Quantumzyme Corp. and Predictive Research Inc. to Explore AI Applications in Green Chemistry

Quantumzyme Corp. has entered into a Memorandum of Understanding with Predictive Research Inc. to explore potential collaboration opportunities at the intersection of artificial intelligence, biocatalysis, and sustainable chemical innovation. The MoU outlines a framework under which the parties intend to evaluate the application of advanced artificial intelligence, machine learning, and data-driven methodologies to support research and development initiatives in enzyme engineering, green chemistry, and related pharmaceutical and industrial processes. This partnership represents a significant step toward integrating computational biology with cutting-edge data science to address environmental challenges in chemical manufacturing.

Quantumzyme specializes in biotransformation and computational enzyme engineering, with a focus on developing more sustainable alternatives to conventional chemical processes. The Company employs quantum mechanics-informed modeling, molecular simulation, and computational design tools through its proprietary QZyme Workbench™ platform to support the optimization of enzyme activity, selectivity, and stability. Quantumzyme’s research efforts are directed toward applications across multiple industries, including pharmaceuticals, specialty chemicals, fragrances, food ingredients, and textiles, where biocatalysts may offer pathways to reduced environmental impact and improved process efficiency. The company’s approach represents a paradigm shift in how industrial chemistry might be conducted with greater ecological responsibility.

Predictive Research brings experience in generative artificial intelligence, natural language processing, machine learning, and advanced analytics, providing data-driven solutions across sectors such as healthcare, life sciences, finance, retail, telecommunications, and automotive. Under the MoU, the parties intend to explore potential areas of collaboration, which may include evaluating AI-supported approaches to enzyme engineering and green chemistry research, assessing data-driven methodologies to inform sustainable biotransformation concepts, exploring AI-enabled insights derived from complex biological and chemical datasets, and facilitating structured knowledge sharing between scientific and data science teams. The collaboration aims to bridge the gap between biochemical research and advanced computational analytics.

Naveen Krishnarao Kulkarni, Chief Executive Officer of Quantumzyme Corp., stated that this MoU reflects the company’s interest in evaluating how advanced AI and data-driven approaches may complement its computational enzyme engineering platform. While still at an exploratory stage, collaborations such as this may help inform future research directions as the company continues to pursue more sustainable solutions in green chemistry. Dr. Basavaraj S. Patil, Chief Data Scientist at Predictive Research Inc., added that the MoU represents an opportunity to explore how generative AI and predictive analytics could be applied within complex biochemical and catalytic research environments. By combining complementary technical perspectives, both organizations aim to assess new approaches to data-informed innovation in life sciences. For more information, please visit www.quantumzymecorp.com and the Company’s profile at www.otcmarkets.com/stock/QTZM.