Product Listings
1Platform4 is a software developed by BioIT Solutions designed to support data integration, workflow automation, and collaboration in life sciences research environments. The software facilitates the management of complex scientific data, enabling users to capture, organize, and analyze experimental results across multiple projects. By providing configurable workflows, data tracking capabilities, and secure access controls, the software addresses business challenges related to compliance, reproducibility, and operational efficiency. Its architecture supports interoperability with various laboratory instruments and third-party applications, streamlining repetitive tasks and aiding organizations in maintaining data integrity and facilitating research team coordination.
Albert R&D Platform is a software designed to facilitate research and development operations for organizations involved in innovation and intellectual property management. The software provides tools for managing invention disclosures, tracking patents, and organizing R&D portfolios. It supports collaboration among teams by centralizing data and documents related to research projects, enabling streamlined workflows and improved visibility into project status. The platform aims to address common business problems such as inefficient communication among researchers, manual tracking of intellectual property, and lack of integration between R&D activities and organizational objectives. By offering structured data management and reporting capabilities, the software helps organizations optimize their innovation processes, reduce administrative burdens, and make more informed decisions regarding research investments and intellectual property assets.
Alchemy Product Development Platform is a software designed to streamline and support the lifecycle of product development, particularly in industries such as chemicals, cosmetics, and food. The software enables collaboration among cross-functional teams, centralizes management of data and formulas, and facilitates compliance with regulatory requirements. It offers tools for tracking project milestones, managing documentation, and integrating with existing business systems to improve process efficiency. Alchemy Product Development Platform helps organizations accelerate innovation cycles by organizing project information and ensuring visibility into development phases, thereby addressing challenges related to data silos and regulatory complexity in product creation workflows.
Atinary Self-Driving Labs Platform is a software designed to accelerate research and development in fields such as chemistry and materials science by automating laboratory experimentation and integrating machine learning algorithms. The software enables users to design and execute experiments with minimal manual intervention while optimizing processes and outcomes through data-driven approaches. By connecting to laboratory instruments and managing experimental workflows, it helps reduce manual workload and experimental cycles. The platform supports efficient management of experimental data, automates hypothesis testing, and drives iterative improvement in research environments, addressing the need for faster and more systematic discovery in scientific and industrial settings.
BIOVIA is a software offered by Dassault Systèmes that provides scientific informatics and laboratory management solutions to support research and development processes in industries such as life sciences, chemicals, and materials. The software enables users to manage data, laboratory workflows, and experimental processes, integrating disparate information sources and facilitating collaboration across teams. BIOVIA supports tasks including data analysis, modeling, simulation, and regulatory compliance, helping organizations to streamline laboratory operations, increase efficiency, and reduce errors by digitizing manual processes. The software is intended to address business challenges related to managing complex scientific data and ensuring consistency and traceability throughout the product development lifecycle.
Citrine is a software designed to assist materials and chemicals organizations in accelerating product development and optimizing manufacturing processes. The software leverages artificial intelligence to analyze experimental and historical data, providing insights that guide formulation, materials selection, and process adjustment. Citrine enables users to model the relationship between processing parameters, material properties, and end-use performance, supporting data-driven decisions throughout research and production phases. By integrating data sources and applying machine learning, the software helps address challenges such as reducing development cycles, minimizing experimentation costs, and improving product quality and consistency across industries where materials innovation is critical.
Kebotix is a software platform designed to accelerate the discovery of new materials by utilizing artificial intelligence and robotics. The software integrates machine learning algorithms with automated laboratory systems to streamline the process of experimental design, data collection, and analysis. It enables researchers to identify and optimize materials for specific applications by predicting properties and outcomes, thus addressing the challenge of time-consuming and costly traditional research methods. Kebotix allows for continuous feedback and adaptive experimentation, supporting decision-making in material science and development workflows.
LiveDesign is a software developed by Schrödinger that facilitates collaborative drug discovery and molecular design activities. The software integrates chemical, biological, and computational data, offering tools for visualization, analysis, and decision-making in the context of drug design and optimization. It allows multiple users to interact in real-time, enabling secure sharing of research data and project information across different teams. LiveDesign provides features for tracking compound progress, annotating design ideas, managing chemical libraries, and supporting structure-based design. The software aims to streamline workflows for scientists by centralizing relevant information and computational results, thereby addressing the challenge of coordinating complex drug discovery projects within interdisciplinary teams.
Maestro is a software developed by Schrödinger that provides a unified interface for molecular modeling and simulation tasks in computational chemistry and drug discovery. The software supports molecular visualization, structure building, and analysis of chemical properties. It facilitates tasks such as ligand preparation, protein modeling, and structure-based drug design by offering tools for molecular docking, virtual screening, and molecular dynamics simulations. Maestro enables researchers to explore molecular interactions, optimize compounds, and predict properties to advance scientific research in pharmaceutical and biotechnology sectors. The software is designed to handle complex data and offers integration with other scientific computing modules to streamline workflows and decision making in molecular research.
MaterialsZone is a software designed to assist researchers and engineers in managing, analyzing, and sharing materials data throughout the materials development process. The software provides a platform for organizing experimental and computational data in a structured manner, enabling advanced data search, filtering, and visualization. It incorporates tools for data-driven modeling and materials informatics, facilitating the discovery of material-property relationships and supporting the acceleration of research and development cycles. MaterialsZone addresses challenges related to data silos and inefficient knowledge transfer by streamlining collaboration and ensuring data traceability within research teams.
Polymerize Connect is a software designed to streamline and manage materials research and development processes. The software provides tools for organizing experimental data, facilitating collaboration among research teams, and integrating data from various sources, including laboratory instruments and external databases. It enables users to track experiments, analyze results, and centralize documentation, helping to improve data integrity and accelerate innovation cycles. By supporting the organization and retrieval of material datasets, Polymerize Connect addresses challenges related to research efficiency, data management, and decision-making in scientific and industrial environments.
Polymerize Labs is a software designed to support research and development teams in the chemical and materials industries by enabling efficient data management and analysis. The software provides a platform to aggregate, organize, and search experimental data from disparate sources, facilitating structured workflows for laboratory processes. Users can leverage its capabilities to automate documentation, optimize experiment planning, and visualize relationships within large datasets. Polymerize Labs addresses the challenge of fragmented research information by centralizing relevant data, which allows organizations to extract actionable insights and improve innovation cycles in product development.
Uncountable is a software designed to facilitate research and development workflow management for laboratories and industrial teams. The software offers tools for organizing experimental data, enabling collaboration among users, and streamlining the process of tracking samples and research projects. It provides features such as automated data capture, experimental planning, analysis, and reporting capabilities. Uncountable addresses the challenge of integrating disparate data sources and documentation, helping organizations centralize and analyze their R&D data. The software aims to improve efficiency by providing structured access to project information and experimental results, allowing organizations to accelerate knowledge sharing and decision-making processes within their R&D operations.