Technology development

Our approach to technology combines high-precision prediction and design with sustainable process development. We believe it has the potential to revolutionize the quality and efficiency of research and development in the fields of pharmaceuticals, chemistry, materials, manufacturing, environment, and education.

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Our representative technologies include "reaction prediction using quantum chemical calculations," "molecular design," "optimization of reaction processes," and "continuous flow synthesis," and we are working on the following technological developments and application extensions.

Advanced reaction design using computational chemistry

In contrast to conventional experiment-driven chemical research, we aim to streamline molecular design and synthesis routes by precisely predicting and visualizing reaction pathways and intermediates using quantum chemical calculations. This will enable highly reliable research and development while significantly reducing time, cost, and risk.

Sustainable production technology through the fusion of digital technology and process chemistry

By combining continuous flow synthesis and reaction optimization techniques with computational science, we can achieve manufacturing processes that are more efficient and resource-saving than conventional batch synthesis. We aim to build a foundation for smart factories and sustainable manufacturing by combining this with process simulation and AI-powered predictive control.

Pharmaceuticals, drug discovery, and pharmaceutical manufacturing.

Reducing development time and costs, and mitigating risks in the pharmaceutical field.
  • Screening of potential drug molecules (optimization of molecular structure)
  • Design and screening of reaction pathways (optimization of reactions) and toxicity prediction
  • Calculation verification and reliability evaluation of GMP-compliant synthesis routes
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Fine chemicals and organic synthesis

Ensuring high efficiency and high safety in the production of functional chemicals in a high-mix, low-volume format.
  • Design highly selective catalysts and explore high-yield synthesis routes
  • Design of a continuous flow precision synthesis process
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Next-generation materials, innovative materials

Rapid development of next-generation materials (OLED, LIB, dielectrics, etc.) and innovative materials.
  • Molecular design of organic electronic materials, battery materials, and polymers
  • Material exploration through property prediction and structural optimization
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Digitalization and automation of chemical processes

Improving production efficiency, saving energy, and addressing carbon neutrality.
  • Automatic optimization of process conditions and reaction equipment
  • Real-time design and control using digital twins
  • Building a RaaS (Research as a Service) platform
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Chemoinformatics/AI application fields

Providing foundational technologies that bridge the gap between chemistry and AI.
  • Materials informatics, process informatics
  • Building machine learning models using quantum chemistry calculation data
  • Digital-driven chemistry for predicting materials, reactions, and processes
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Green Chemistry and Environmental Technology

Supporting the transition to environmentally friendly processes (SDGs compliance)
  • Environmental impact assessment of reaction pathways (yield, by-products, energy content)
  • Waste reduction through the introduction of continuous flow precision synthesis (RME, AE, etc.)
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Research and development support

Accelerating research and development in companies and research institutions
  • Improvement of R&D ROI
  • Development and provision of specialized analysis and visualization tools
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Examples of technology development

Development of a reaction kinetics simulator (proprietary technology)

Based on reaction analysis results obtained by quantum chemical calculations, we developed a reaction kinetics simulator that calculates the time-dependent concentration change of the substrate based on transition state theory. Example calculation: Reaction kinetics simulation of the asymmetric yield for a hydride reduction reaction using a boraneate complex. It can be confirmed that the production ratio of the α-isomer is higher compared to the β-isomer.

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