Motivation
Organisations managing sensitive data face challenges in protecting personal information at scale. This project was driven by the need to ensure privacy and comply with data protection regulations (such as GDPR) quickly and efficiently.
Goal
To automate the anonymization of documents using AI, enabling the secure, reliable, and scalable removal of personal data while drastically reducing the time and effort compared to manual review.
Technology Solution
A Natural Language Processing (NLP) solution was developed to detect and remove personally identifiable information from documents. The system supports various file formats and languages and can be integrated into existing workflows.
Business Model
B2B SaaS model with pricing based on the volume of processed documents. Custom projects are also offered for public administration or large enterprise environments.
Results
The solution has drastically reduced document anonymization time (from days to minutes) while maintaining high precision and traceability. It has been successfully implemented in public entities managing large volumes of sensitive data.
