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Pharma & Biotech

AI-Driven Digitization & Validation of Batch Manufacturing Records

Batch manufacturing data was locked in scanned PDFs, handwritten notes, and multilingual documents, requiring manual transcription and translation. The lack of standardized data structures, combined with strict regulatory requirements, slowed data processing, limited accessibility, and created inefficiencies in analysis and decision-making

Cloud data analytics platform for mRNA therapeutics research

Data processing is no longer time-intensive—it is automated, accurate, and scalable

The Challenge

Manual, Unstructured Batch Records Limiting Accessibility and Compliance Efficiency

Batch manufacturing data existed in fragmented formats, including scanned PDFs, handwritten notes, and multilingual documents, requiring extensive manual transcription and translation. The absence of standardized data structures and automated workflows slowed processing, limited data accessibility, and created inefficiencies in analysis, compliance, and decision-making

Solution

  • Deployed CPV-Auto™ for AI-assisted digitization of batch records across typed, scanned, and handwritten formats

  • Automated extraction and translation of data (including German to English) with human-in-the-loop validation

  • Standardized data across batch templates covering multiple unit operations and hundreds of data points

  • Implemented role-based workflows for processing, validation, and quality assurance

  • Built a secure, AWS-hosted platform with API-based data transfer and structured outputs (Excel, JSON, database)

  • Enabled full validation lifecycle (DQ, IQ, OQ, PQ) aligned with GxP, 21 CFR Part 11, ALCOA+, and GAMP 5 guidelines

Life sciences research analytics dashboard for drug development

Impact

Automated Data Processing, Enhanced Compliance, and Faster Decision-Making

  • Eliminated manual transcription and significantly reduced operational effort

  • Enabled structured, analysis-ready manufacturing data across batch processes

  • Accelerated data availability for QA, manufacturing, and analytics teams

  • Improved compliance readiness with audit-ready workflows and traceability

  • Enhanced visibility across batch operations, supporting faster decision-making

Measurable Impact

90%

reduction in manual
data transcription effort

3–5x

faster batch data processing
and availability

100%

structured, analysis-ready data
across batch records

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