SciSure is revolutionizing laboratories across the globe with innovative digital solutions designed for the future. Our Digital Lab Platform (DLP) integrates essential tools such as Electronic Lab Notebooks (ELN) and Laboratory Information Management Systems (LIMS), alongside cutting-edge technologies like artificial intelligence and machine learning. Engineered for effortless integration with your laboratory's existing hardware and software, this platform significantly boosts flexibility, security, and overall efficiency. By streamlining and optimizing your research and development processes within a secure and compliant framework, we enable researchers to focus more on driving innovation. Our dedicated team of experts is here to assist you throughout every phase of your digital lab transformation journey, ensuring a smooth transition.
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The SBS QMS Suite is composed of five interrelated software modules designed to enhance Quality compliance efficiency.
1) The SBS Quality Database includes tools for managing CAPA and 8D corrective actions, overseeing nonconformance issues, conducting risk analyses such as FMEA and SWOT, handling various audit management needs, and ensuring Environmental Health and Safety (EHS/HSE) compliance.
2) SBS Ground Control focuses on managing employee training through a Learning Management System (LMS), offering self-paced training options, and providing document control features.
3) SBS Asset Tracking Database oversees calibrated equipment, preventive maintenance schedules, and comprehensive asset inventory management.
4) The SBS Inspection Database captures and records inspection data for incoming materials, in-process checks, and final product assessments, allowing for the generation of real-time SPC charts, development of inspection and control plans, and archiving data for future statistical evaluations.
5) The SBS Vendor Management maintains an approved vendor list (AVL), formulates vendor qualification plans, and tracks the qualification history of suppliers.
Each of these modules may be purchased individually or in any combination to meet your needs.
On-premise and cloud-based options are available.
Free demos are available for download or contact us for a cloud-based demo.
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[FP]-LIMS Software
The modules of [FP]-LIMS are built on a robust SQL database system that facilitates rapid queries and efficient data handling. We ensure that our platform is extremely user-friendly for all users. At the heart of our automation is the job server, responsible for carrying out tasks based on specific events or scheduled times. It also supervises limit values and automatically issues alerts—such as emails or on-screen notifications—when those limits are surpassed. Advanced LIMS software, which incorporates features like inspection scheduling, workflow oversight, and analysis management, can significantly enhance the design and functionality of your quality management system. This enhancement ultimately leads to greater efficiency in your production operations and can help you achieve higher levels of productivity.
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Scilligence SDMS
Scilligence's Scientific Data Management System (SDMS) provides a cohesive platform for data storage that connects seamlessly with a variety of instruments and devices, allowing researchers to swiftly and securely gather vital information. The system's automation capabilities streamline the process of data collection from scientific tools, facilitating the extraction of metadata into a relational database, which significantly boosts data management efficiency and reduces costs. Our platform is designed to maintain strict version control, comprehensive audit trails, and a thorough history of document alterations, ensuring compliance with current regulatory requirements. Moreover, SDMS integrates smoothly not only with Scilligence applications but also with laboratory instruments for automated data handling. It also accommodates various database systems and storage solutions, enhancing its versatility. To protect your intellectual property effectively, we implement robust access management at multiple levels including site, account, and project, ensuring that confidential information is secured while promoting collaborative research. This thorough approach to data management ultimately allows scientists to dedicate more time to their research endeavors, relying on a dependable and effective data infrastructure. Additionally, the platform's user-friendly interface further simplifies the data management process, making it accessible to users with varying levels of technical expertise.
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