GLUE FAQs

Scispot GLUE is an AI-powered lab data integration software that connects instruments, ELNs, LIMS, and legacy systems, automating data extraction, transformation, and reporting. It eliminates manual data transfers, ensuring scientific data accuracy, regulatory compliance, and real-time access to harmonized data.GLUE acts as a central integration hub, supporting 200+ lab instruments, including LCMS, HPLC, and plate readers. It automates raw data processing, applying transformation scripts to calculate key metrics (e.g., MZ ratios for LCMS) and maintain data lineage by linking results back to experiments.GLUE integrates with lab devices via API, SFTP, ASTM, and HL7, pulling data from Windows-based instrument machines or cloud storage. It supports both real-time and scheduled data transfers, ensuring flexibility for any lab workflow.

Yes, Scispot GLUE seamlessly connects legacy systems, modern lab tools, and cloud platforms, enabling centralized lab data management across diverse environments.GLUE supports structured data formats like CSV, XML, ALCOA, and can push real-time data into LIMS, ELNs, and LIS platforms via ASTM, HL7, and REST APIs. Even instruments without internet access can integrate using agent-based solutions.For third-party tools, GLUE connects to thousands of apps via Zapier, allowing automated notifications in Slack, live data syncing with Google Sheets, and integration with existing workflows. If a required connection is missing, Scispot can custom-build integrations.GLUE is designed to support both GxP and non-GxP workflows, making it an ideal choice for R&D labs, molecular diagnostics, and regulated production environments.

Scispot GLUE is built for biopharma, molecular diagnostics, CROs, pathology labs, and research institutions that need a centralized, automated, and error-free data integration platform. Biotech startups and scaling companies rely on GLUE to integrate multiple instruments, experiments, and software systems, improving operational efficiency and data management. Clinical and diagnostic labs benefit from its automated sample tracking, quality control, and compliance reporting, reducing regulatory risks while ensuring data accuracy. Organizations leveraging machine learning and AI depend on GLUE to maintain high-quality, structured data for AI-driven analysis and predictive modeling. Academic and research institutions use it to simplify collaborative data management, integrating diverse lab workflows into a single, standardized system. Whether handling high-throughput experiments, multi-sample testing, or clinical trials, Scispot GLUE provides the infrastructure needed for scalable and efficient lab operations.

Scispot GLUE automates compliance reporting, maintains data integrity, and ensures adherence to FDA, HIPAA, and GxP standards. It provides secure, cloud-based lab data management with built-in audit logs, role-based access controls, and end-to-end encryption, protecting sensitive research and patient data.GLUE maintains a complete chain of custody, linking every data transformation back to the original experiment. It automates QC checks, flags deviations from reference values, and notifies the team instantly, reducing compliance risks and ensuring consistent data quality. The system is designed for both flexible R&D workflows and regulated production environments, making it ideal for molecular diagnostics, clinical trials, and biopharma labs that require strict adherence to compliance standards.

GLUE enables flexible workflow execution, allowing labs to populate output directly into databases, ELNs, and SOPs, ensuring standardized reporting. It also supports custom triggers, letting labs set up event-based automation that runs scripts when specific conditions are met. Scispot GLUE integrates seamlessly with tools like Zapier, enabling effortless automation across thousands of applications, including Slack for notifications and Google Sheets for real-time data updates.