Utilizing Natural Language Processing (NLP) and pattern recognition, the platform automatically identifies and tags sensitive data like PII, PHI, and PCI without human intervention.
These improvements are largely due to the migration from a monolithic database schema to a microservices-based data mesh architecture.
A multinational pharmaceutical entity deployed Intelli Catalogue Version 10.0.0 to break down data silos across research centers. By implementing the decentralized Data Mesh architecture, individual global labs retained ownership of their clinical trial data while making anonymized metadata searchable globally. This reduced data discovery time for researchers from weeks to minutes, accelerating drug development pipelines. Finance: Achieving Automated Regulatory Reporting intelli catalogue version 10.0.0
is the latest, AI-powered enterprise software upgrade developed by Intellinet Systems to automate and streamline digital spare parts cataloging for Original Equipment Manufacturers (OEMs), dealerships, and global distributors . This benchmark release transitions traditional, disconnected aftermarket operations into a unified, high-precision ecosystem.
A hospital network used the Active Metadata Graph to trace patient data from their EHR system (Epic) to a research warehouse. When a regulatory request arrived for “all data subjects in region X,” the governance engine generated a complete lineage report and masked irrelevant columns within 90 seconds—well under the 72-hour compliance window. Despite its complex feature set
Despite its complex feature set, the platform is designed for ease of use across various operational environments:
: Compatible object storage (AWS S3, Azure Blob, or MinIO) for log and metadata backups. This benchmark release transitions traditional
rule: mask_pii if: column.classification == "EMAIL" then: apply_mask = "partial"
Intelli Catalogue 10.0.0 is a major release that transforms product and content management by combining scalable catalog modeling, smarter discovery, and operational automation to accelerate go-to-market and reduce manual overhead.