Pristima Web is a leading, web-based preclinical Laboratory Information Management System (LIMS) designed to revolutionize preclinical research across highly regulated industries. From pharmaceutical development to food and animal nutrition studies, Pristima Web provides a unified, platform-based solution that replaces fragmented systems and streamlines the entire preclinical research lifecycle. Pristima Web 10.0 delivers capabilities to design protocols, boost study execution efficiency, manage data and predictive models, and integrate study design, data management, and regulatory submission processes into a single platform. It supports therapeutic areas including cardiovascular, oncology, infectious diseases, respiratory, immunology, gastroenterology, metabolism and endocrinology. With full support for FDA SEND datasets and IACUC standards, the preclinical LIMS optimizes workflows in toxicology, safety pharmacology, and dose-finding studies, enabling safer and more effective drugs, medical devices, and therapies to market faster. The platform is scalable, secure, cross-therapeutic and cross-industry, designed for global collaboration via a single web interface.

Pristima Web consolidates all research processes into one environment, addressing laboratories that struggle with inefficiencies found in other LIMS. It features AI-driven predictions, integrated reporting, and advanced data management to provide interoperability with existing systems, rapid access to data, and streamlined analysis. It provides full support for regulatory submissions like CDISC SEND datasets and supports a wide range of industry segments including Life Sciences, Animal Nutrition, Food, Pet Food, Dairy, and Beef, enabling cross-industry collaboration.

Features & Benefits

• Protocol/Method Design: Design and manage study protocols within a unified preclinical LIMS.
• Study Management: End-to-end study planning, execution tracking, and data capture.
• Animal Management: Comprehensive vivarium tracking, dosing, and welfare data.
• Reporting, Analytics, Intelligent Insights: Integrated analytics for faster decision making and regulatory-ready reporting.
• AI-Driven Predictions: Predictive modeling to optimize study designs and outcomes.