Apps & Software News

Validify Introduces AI-Powered Validation Platform to Modernize Computer Software Validation for Life Sciences

Validify has introduced an AI-powered validation platform designed to modernize computer software validation for pharmaceutical, biotechnology and medical device organizations, helping regulated businesses simplify compliance while reducing the time and effort traditionally associated with software validation. As life sciences companies continue to accelerate digital transformation, computerized systems have become central to manufacturing, laboratory operations, quality management and regulatory compliance. From enterprise resource planning (ERP) and laboratory information management systems (LIMS) to manufacturing execution systems (MES) and quality management software (QMS), these technologies directly influence product quality, patient safety and data integrity. Because of their critical role, computerized systems must undergo documented validation throughout their lifecycle to demonstrate that they consistently perform as intended. Regulatory frameworks including FDA 21 CFR Part 11, EU GMP Annex 11 and other international guidelines require organizations to maintain comprehensive evidence supporting the reliability, security and integrity of regulated software. Validify's platform has been developed to streamline the complete Computer software validation lifecycle by bringing requirements management, risk assessments, testing, electronic signatures, traceability and compliance documentation into a single integrated environment. The launch comes as the life sciences industry continues shifting toward more risk-based validation methodologies. In 2022, the U.S. Food and Drug Administration released draft guidance introducing Computer Software Assurance (CSA), encouraging organizations to focus validation efforts on critical functions and product quality rather than excessive documentation. The guidance reflects a broader regulatory movement toward efficient, science-based validation practices that prioritize meaningful testing over administrative complexity. Traditional computer software validation programmes often rely on disconnected Word documents, spreadsheets, manually captured screenshots and paper-based approval processes. While these approaches can satisfy regulatory requirements, they frequently consume substantial resources during initial implementations as well as future software upgrades and configuration changes. For many organizations, updating a regulated computerized system requires quality teams to recreate validation documentation, repeat manual testing and rebuild traceability records before changes can be released into production. As cloud-based applications and software-as-a-service platforms adopt more frequent release cycles, maintaining validation documentation through manual processes has become increasingly challenging. Validify addresses these operational demands by centralizing validation activities within a connected digital platform. User Requirements Specifications (URS), Functional Specifications, Design Specifications, Installation Qualification (IQ), Operational Qualification (OQ), Performance Qualification (PQ), risk assessments, validation protocols and test evidence are managed together, allowing organizations to maintain complete documentation throughout the software lifecycle. The platform also automates the generation of traceability matrices, creating direct relationships between business requirements, validation activities and completed test results. By maintaining these connections automatically, organizations can reduce administrative effort while improving consistency across validation projects. Electronic signatures compliant with FDA 21 CFR Part 11 are incorporated throughout the validation workflow, supporting secure approval processes while reducing reliance on paper documentation. Centralized reporting further enables quality teams to prepare inspection-ready validation records more efficiently. Beyond documentation management, Validify applies artificial intelligence to support validation planning, documentation workflows and revalidation activities following software updates. Rather than rebuilding validation packages from the beginning after every system modification, organizations can evaluate changes more efficiently and focus validation resources on areas presenting the greatest operational or regulatory risk. This risk-based approach aligns with the industry's continued transition toward Computer Software Assurance principles, where the emphasis shifts from producing large volumes of documentation to demonstrating confidence that computerized systems remain fit for their intended purpose. For pharmaceutical manufacturers, biotechnology companies and medical device organizations operating in highly regulated environments, effective validation extends beyond regulatory compliance. Well-designed validation programmes support operational continuity, improve data integrity, strengthen inspection readiness and help organizations introduce new technology with greater confidence. As regulatory expectations continue evolving alongside rapid advances in digital technologies, automated validation platforms are expected to play an increasingly important role in helping quality teams manage complex compliance requirements while reducing project timelines. By combining automation, AI-assisted workflows and risk-based validation methodologies within a single compliant platform, Validify aims to help life sciences organizations modernize software validation without compromising regulatory expectations or product quality. About Validify Validify provides an AI-powered validation platform for pharmaceutical, biotechnology and medical device organizations. The platform supports the complete computer software validation lifecycle by integrating requirements management, risk assessments, validation protocols, testing, traceability, electronic signatures and compliance documentation into a unified environment designed to support FDA 21 CFR Part 11, EU GMP Annex 11 and modern Computer Software Assurance (CSA) practices.