Governata offers an on‑premises data governance platform that automates AI‑driven data classification, personal data discovery, and centralized business glossary creation for Saudi enterprises. It includes workflow automation, data quality monitoring, role‑based access, and pre‑built connectors to systems like Power BI, Salesforce, SAP, and Oracle to support NDMO/PDPL compliance and secure data sharing.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises in Saudi Arabia face fragmented data governance processes, requiring manual classification, inconsistent business terminology, and labor‑intensive discovery of personal data to meet NDMO and PDPL regulations. These inefficiencies delay compliance, increase risk of data breaches, and hinder reliable data sharing across departments.
Solution
Governata delivers a unified, on‑premises data governance platform that automates classification, builds a centralized business glossary, and discovers personal data across heterogeneous data sources. The system leverages AI models and pattern‑matching to tag data assets, map lineage, and enforce regulatory rules without additional hardware or specialized staff. Integrated quality checks and workflow automation streamline data cataloging, approval, and secure sharing, enabling compliance teams to implement governance policies faster and with greater consistency. A web‑based interface provides role‑based access, audit trails, and connectors to major enterprise systems for seamless adoption.
Target Audience
Primary customers are data governance officers, compliance managers, and data stewards in Saudi enterprises—particularly in finance, healthcare, and government sectors—that must adhere to NDMO and PDPL requirements while improving internal data collaboration.
Features
- AI‑driven automated data classification with configurable confidence thresholds and support for multiple sensitivity levels (public, confidential, restricted, secret)
- Personal data discovery engine combining LLM inference and regex patterns to locate and flag PII in structured and unstructured sources
- Centralized business glossary and KPI repository that links terms to data assets and lineage visualizations
- Data quality monitoring dashboards with rule‑based validation, anomaly detection, and automated remediation suggestions
- End‑to‑end workflow automation for data approval, sharing, and compliance reporting, including NDMO/PDPL rule templates
- On‑premises isolated deployment with full client‑controlled security configuration and audit logging
- Pre‑built connectors for Power BI, Salesforce, SAP, Oracle, and SQL Server enabling metadata synchronization and downstream analytics integration
- Role‑based access control and granular permission management to enforce least‑privilege principles across data stewards and business users