Prectavi

Prectavi® is an AI-powered analytics platform developed by Arvato Systems, in partnership with regenold GmbH, specifically for the life sciences industry. It is designed to intelligently link production, quality, and process data that is typically scattered across multiple systems, enabling pharmaceutical companies to uncover hidden correlations, detect anomalies early, and support more informed, data-driven decisions. The platform combines analytics, generative AI, automated reporting, and domain-specific regulatory and pharmaceutical expertise into a single integrated solution.

Prectavi® is intended for organizations in life sciences that want to apply AI-driven analysis to their operational data. Typical user groups and application areas include Manufacturing, Manufacturing Science & Technology (MS&T), Quality Assurance, Process Engineering, Digital Manufacturing, and Continued Process Verification (CPV).

Core Capabilities

• Early detection of anomalies and deviations in production and quality data
• Identification and visualization of correlations between process and quality data
• Systematic root cause analysis to support faster investigation of batch deviations
• Early identification of potential quality risks
• Automated generation of reports and analyses, reducing manual evaluation effort
• Natural language chat interface that allows users to query structured and unstructured company data and receive contextual answers, analyses, and reports
• Support for Continued Process Verification (CPV) by linking production, process, and quality data to detect changes and illustrate relationships over time

Platform Design and Extensibility

• Designed as an open platform that can be expanded with additional domain-specific "skills" to address new use cases beyond the initial deployment
• Incorporates a Secure Context model, meaning company data remains within the existing system environment and is not transferred to external systems without explicit control
• Combines AI capabilities with regulatory and pharmaceutical domain expertise, allowing the platform to interpret data within its business context rather than treating it as purely technical input
• Can be tailored to company-specific requirements, regulatory frameworks, and individual use cases through a collaborative implementation process
• Designed for integration into existing system environments with minimal disruption

Implementation Approach

• Implementation begins with identifying a clearly defined use case based on the customer's specific requirements and existing data landscape
• A pilot project phase is used to evaluate the platform's potential, establish a decision-making foundation, and prepare for additional areas of application
• Arvato Systems and regenold GmbH provide advisory support from initial concept through to operation, combining IT infrastructure experience with regulatory services expertise
• The platform is positioned as suitable even when a specific use case has not yet been identified, with joint discovery of high-value applications as part of the engagement process

Prectavi® addresses the common challenge in pharmaceutical manufacturing where valuable data exists across disparate systems but is analyzed only in isolation. By combining AI, regulatory expertise, and secure data handling within a flexible platform architecture, it supports functions across quality, process engineering, and compliance with the goal of enabling proactive, evidence-based process management.