Solution Development
Insilico is an innovation leader driving the digital transformation of the materials industry. By integrating material science, artificial intelligence (AI), and information systems, we provide an end-to-end digital platform that supports the entire value chain from advanced material design to R&D, production, and quality management. Our AI-powered data analytics maximize productivity and efficiency, setting a new paradigm for the materials industry.
Web Solution Development
Insilico develops web-based platforms tailored for the materials industry, enabling seamless management of data across R&D, production, and quality processes. With intuitive UX/UI design and flexible system integration, we deliver digital environments that are both user-friendly and operationally efficient.
Overview
Built with real-time data management and workflow-optimized UI for seamless adoption in research and production. Data standardization, automated analysis, and visualization drive efficiency and productivity.
- Intuitive UI/UX for streamlined workflows
- Real-time data entry, search, and analytics
- Advanced visualization and automated reporting
- Web-based access anytime, anywhere
Platform Technology
Leveraging modern web standards and flexible architecture, our platform ensures high scalability with diverse systems. We support both on-premise and cloud environments with customized development to meet client needs
- HTML5-based front-end design
- Full-stack development (front-end & back-end)
- API integration with external/3rd-party systems
- RS232 & file-based equipment connectivity
- Flexible deployment: on-premise or cloud
- Custom development tailored to client needs
Use Cases
We have successfully implemented web-based R&D, production, and quality management systems across diverse industries. Our system designs reflect real-world operational requirements to deliver tangible digital transformation outcomes.
- Material Information Management System : Integrated management of chemical substances, reagents, MSDS, and related material information
- Research Information Management System : Digitalization of research data and enhanced collaboration through Electronic Lab Notebooks (ELN)
- Laboratory Information Management System : Integrated management of samples, equipment, and test data to ensure reliability
- Inventory Management System : Real-time monitoring of reagent, raw material, and consumable stock levels and transactions
- AI Analytics & Prediction System : AI-driven decision support for process optimization, yield prediction, and equipment anomaly detection
Database Construction
We transform core enterprise assets – materials, devices, experimental data, production processes, and quality metrics into structured databases. With unique expertise in digitalizing chemical structures and formulas, we build AI-ready databases optimized for chemical materials and devices.
Overview
From database design to performance optimization, we expertly manage the complete process of systematically collecting, storing, and analyzing complex industrial data.
- Logical data flow analysis
- Purpose-driven logical & physical data modeling, schema design
- Automated collection of experimental & process data with metadata storage
- Performance tuning for fast search & parallel analytics
Platform Technology
We possess specialized database development capabilities that reflect the unique characteristics of materials data. Through precise chemical structure-based data representation, we enable advanced functions including similarity analysis, property prediction, and virtual screening.
- Relational & NoSQL database design
- High-performance queries & indexing
- Chemical structure indexing & searching (SMILES, InChI, Molecular Fingerprints)
- Big data mining & predictive algorithms
Use Cases
Database construction systematically organizes data from R&D, production, and quality processes, enhancing accuracy and usability. This structured data becomes a core asset for AI analytics, automation, and digital transformation.
- Material DB : Material properties, composition, and supplier information
- Virtual Library DB : Virtual compound structure search and AI training
- Research Information DB : Experimental conditions, materials, equipment, and results
- Production DB : Process conditions, facility information, and operator records
- Quality DB : Test conditions, results, defect history, and specifications
Artificial Intelligence
Leveraging deep learning, Insilico develops AI models for material property prediction, material design, process optimization, and quality monitoring. By structuring experimental, process, and quality data, we build automated pipelines that enhance operational efficiency and competitiveness.
Overview
Our AI technology structures experimental, process, and quality data into predictive models, reducing trial-and-error and enabling rapid, data-driven decisions.
- Structure-composition-property prediction models
- Unstructured data analysis & classification with domain knowledge
- Composition recommendation for target properties
- Process-based quality prediction & anomaly detection
- Automated pipelines for integrated analysis of experimental, process, and quality data
Platform Technology
We enhance AI performance through materials-specific data processing, feature engineering, and time-series analysis. Combining statistical methods with domain expertise, we deliver advanced predictive models and automated pipelines.
- Data mining & exploratory data analysis (EDA)
- Preprocessing through missing value imputation & feature generation
- Knowledge-based labeling & data augmentation
- Time-series & sensor data analysis
- Model tuning & ensemble techniques
Use Cases
We accelerate digital transformation through AI applications in material design, process control, and quality assessment. Data-driven experimental optimization, anomaly detection, and quality prediction enhance productivity and reliability.
- Design of Experiments (DoE)
- Property prediction for composite materials
- Real-time quality monitoring & early anomaly detection
- Predictive maintenance for equipment reliability
- Automated defect detection & quality assessment
Distinct Advantages in System Development
At Insilico, we go beyond conventional IT development to deliver practical digital solutions tailored to the materials industry.
With deep industrial expertise and extensive project experience, we design robust, scalable systems that align with client environments.
We provide field-proven solutions based on deep understanding across materials research, production, and quality management.
From solution planning to implementation, we deliver end-to-end services precisely tailored to customer workflows and data characteristics.
Our systems are designed for seamless integration with diverse systems and equipment, flexibly accommodating future data expansion and feature enhancement.
Beyond implementation, we provide ongoing operational support, feature improvements, and user training to ensure stable system usage.
System Development Consulting
Insilico provides field-focused consulting aligned with customer digital transformation goals. From designing data-driven decision-making frameworks to systemization, we collaboratively design optimal solutions for each stage.
We analyze customer workflows and data flows to define practical system requirements and develop digital transformation strategies for long-term data utilization and system integration. Through pilot validations, we design production-ready systems with proven experience integrating research, production, and quality data to enable seamless organizational collaboration.