Interfacing’s Integrated Management System (IMS ) is an AI-supported platform that brings BPM, QMS, Document Control, and GRC together in one environment. Teams use IMS to design and manage processes, govern documentation, oversee risks, and demonstrate compliance with complete visibility and reliable audit evidence.
Built for sectors that depend on strict oversight, such as aerospace, life sciences, public sector, and financial services, IMS offers real-time monitoring, automated workflows, and AI-driven analytics that strengthen quality and lower operational exposure. The system is ISO 27001 certified and validated for 21 CFR Part 11, ensuring secure and compliant use in regulated operations. IMS also provides low-code automation, process mining, audit tools, training management, CAPA workflows, and dashboards that help organizations improve performance and maintain regulatory control. AI enhances governance, improves precision, and supports continuous compliance.
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SciSure is a Scientific Management Platform built to support the full range of laboratory operations for scientific organizations. It combines ELN, LIMS, and Health & Safety functionality, giving teams a single system to document experiments, track sample lineage, manage chemical inventory, and run structured, audit-ready compliance processes.
Instead of relying on disconnected systems, organizations get one governed platform that improves reproducibility, increases visibility into lab operations, and reduces risk as they scale.
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cubeCTMS
cubeCTMS is an all-encompassing clinical-trial management platform that facilitates complete oversight of trials, encompassing aspects such as tracking study sites and investigators, managing enrollment and visit schedules, and overseeing budget and contract workflows, as well as milestone reporting and document management. By centralizing study operations and automating essential processes, it allows sponsors, CROs, and study teams to oversee progress in real time, coordinate tasks across various studies, enhance communication with sites, and reduce risks. The platform offers integrated dashboards, notifications, and audit-ready documentation to ensure compliance with regulatory standards, including readiness for FDA 21 CFR Part 11, empowering stakeholders to oversee trial timelines, resources, and overall performance from a singular interface. Additionally, cubeCTMS seamlessly connects with other CRScube modules, such as EDC, eTMF, and pharmacy/RTSM, creating a cohesive ecosystem that minimizes redundancy, optimizes data flow, and supports flexible workflows during amendments or large-scale implementations. This integration not only streamlines processes but also enhances the overall efficiency of clinical trials, making it an invaluable tool for research teams.
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REDCap Cloud
REDCap Cloud serves as a comprehensive data-science platform that empowers organizations to gather, integrate, standardize, analyze, and disseminate clinical and research data that meets real-world and regulatory standards, all within a cohesive, standards-driven system. This platform facilitates the complete lifecycle of randomized clinical trials and real-world evidence research by providing diverse modules tailored for intricate trial design and execution, a centralized clinical data hub that integrates both eCRF and non-eCRF sources, AI/ML capabilities for real-time operational and data insights, and seamless connectivity to eSource and EHR systems. Additionally, it enhances patient engagement through tools like ePRO/eCOA and wearable devices, accommodating both hybrid and decentralized trial models. The analytics features include options for synthetic control arms and digital twins, ensuring adherence to global security compliance standards. Ultimately, REDCap Cloud is designed to mitigate data silos, eliminate vendor fragmentation, facilitate bidirectional data flows, and offer sponsors, CROs, and health systems comprehensive visibility and oversight regarding site performance, study data integrity, and regulatory preparedness. By streamlining these processes, organizations can achieve greater efficiency and effectiveness in their research endeavors.
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