Scispot's HPLC data analysis software transforms traditional chromatography workflows through comprehensive AI-powered automation that legacy systems simply cannot match. Unlike conventional HPLC software that requires manual data export, peak integration, and unit conversions, Scispot's AI scientist employs an intelligent ELT (Extract, Load, Transform) methodology that preserves raw analytical data while enabling flexible transformation workflows. Our GLUE agent automatically ingests chromatograms from any instrument manufacturer including Waters, Agilent, Thermo Fisher, and Shimadzu systems. Scientists can access real-time insights through natural language queries rather than navigating complex software interfaces. The platform's automated compliance documentation eliminates manual record-keeping while intelligent pattern recognition algorithms identify trends and anomalies that would be impossible to detect manually. Labs transitioning from traditional chromatography workflow automation consistently report dramatic reductions in data processing time, improved data quality, and enhanced regulatory compliance capabilities.
Scispot's analytical data management system provides universal compatibility with all major HPLC manufacturers and instrument types used in modern analytical laboratories. The platform seamlessly integrates with Waters ACQUITY and Alliance systems, Agilent 1260/1290 Infinity series, Thermo Scientific Vanquish and UltiMate systems, and Shimadzu Nexera and Prominence instruments. Our GLUE agent automatically recognizes and processes native file formats including Waters RAW files, Agilent ChemStation data, Thermo Chromeleon formats, and Shimadzu LabSolutions output. The system also supports UHPLC, preparative HPLC, and specialized detectors including UV-Vis, fluorescence, mass spectrometry, and evaporative light scattering. This comprehensive instrument compatibility ensures seamless data flow regardless of your laboratory's equipment configuration, enabling complete lab instrument integration without forcing changes to existing analytical methods or instrument preferences.
Scispot's HPLC compliance software is architected from the ground up to exceed regulatory standards across pharmaceutical, biotechnology, and clinical laboratories. The platform maintains full compliance with FDA 21 CFR Part 11 requirements through secure electronic signatures, comprehensive audit trails, and tamper-proof data archiving. Our automated documentation system supports Good Laboratory Practice (GLP), Good Manufacturing Practice (GMP), and ISO 17025 standards with built-in validation protocols that eliminate manual compliance procedures. Every chromatogram is automatically linked to complete analytical lineage including sample preparation protocols, reagent lot numbers, instrument calibration records, and analyst credentials. The system generates regulatory-ready validation packages including method precision, accuracy, linearity, and system suitability documentation. For clinical and pharmaceutical applications, Scispot provides specialized compliance features supporting pharmacopeial requirements and validated analytical methods with automated report generation that meets the most stringent regulatory standards.
Scispot's AI transforms chromatography workflow automation through multiple integrated intelligence layers that changes how laboratories process and interpret HPLC data. Our AI scientist understands the complete Extract, Load, Transform workflow, automatically extracting raw chromatography data, loading it into our secure data lake, and applying intelligent transformations on-demand for maximum analytical flexibility. Our machine learning algorithms automatically normalize units across different analytical methods, detect baseline drift and integration errors, and identify optimal peak integration parameters without manual intervention. Advanced pattern recognition engines continuously analyze retention time stability, peak shape consistency, and system suitability parameters to predict maintenance needs before instrument performance degrades. The platform's predictive analytics forecast reagent consumption, identify optimal injection sequences, and recommend method optimization strategies based on historical performance data. Natural language processing capabilities allow analysts to query analytical data using conversational language, instantly retrieving specific chromatograms, batch comparisons, or trend analyses. Computer vision algorithms can even identify peak anomalies and contamination patterns that would be invisible to manual review. These integrated AI capabilities transform reactive chromatography workflows into proactive, intelligent systems that anticipate problems, optimize performance, and continuously improve analytical quality with minimal human intervention.
