VERISCAN provides AI-enabled quality assurance for biomanufacturing by transforming paper documentation into searchable, cryptographically verified digital records. The system instantly detects errors like missing signatures and calculation mistakes during the scanning process, maintaining existing paper workflows. This solution enhances data integrity, enables real-time stakeholder visibility, and streamlines compliance reporting for pharmaceutical operations.
Funding
Funding not disclosed
Founders
Product
Problem
Biomanufacturing workflows are complex, often blending paper-based records with digital systems, which can compromise data integrity and hinder advanced analytics. This hybrid approach makes it challenging to ensure product safety, quality, and regulatory compliance efficiently.
Solution
Black Mesa offers a technology platform designed to bridge the gap between paper and electronic documentation in biomanufacturing. The system automates critical steps in process development and approval, enhancing data integrity and enabling advanced analytics without requiring costly system migrations. By integrating seamlessly with existing workflows, Black Mesa provides a robust method for assuring the safety, integrity, and quality of biomanufactured products. This approach facilitates faster batch release and streamlines regulatory inspections.
Target Audience
The primary customers are organizations involved in biomanufacturing, including those producing vaccines, drugs, novel materials, fuels, and food, who seek to improve process assurance and data management.
Features
- Hybrid documentation system that supports both paper and electronic records within biomanufacturing workflows.
- Automated data capture and validation for key process development and approval steps.
- Advanced analytics capabilities leveraging integrated data from disparate sources.
- Tools for enhancing data integrity and traceability throughout the manufacturing lifecycle.
- Features designed to simplify regulatory compliance and audit processes.
- Secure data handling protocols to maintain product assurance.