digna is a European, AI-powered Data Observability and Data Quality platform designed to detect anomalies, ensure reliability, and provide full transparency across modern data platforms such as Data Warehouses, Data Lakes, and Lakehouses. Built in Austria and fully EU-sovereign, digna enables organizations to monitor, analyze, and govern their data assets with confidence.

digna continuously monitors data pipelines, tables, and datasets, automatically identifying unexpected changes in volume, values, distribution, schema, and timeliness. The platform uses statistical analysis and machine learning to establish baselines, detect anomalies, and provide actionable insights.

The system is modular, scalable, and deployable entirely in the customer's own infrastructure — on-premises, private cloud, or controlled environments — ensuring maximum data protection and compliance with regulations such as BCBS239, NIS2, GDPR, and the EU AI Act.

Use Cases and Features

1. Self-Adjusting Data Quality Rules

digna employs intelligent algorithms that automatically adapt data quality thresholds based on historical patterns and trends. This eliminates the need for manual rule configuration and reduces false positives, allowing teams to focus on genuine data issues rather than routine maintenance.

2. Automated Detection of Schema & Structural Drift

The platform continuously tracks changes in database schemas, table structures, and column definitions. When unexpected modifications occur — such as column deletions, type changes, or new field additions — digna immediately alerts relevant stakeholders, preventing downstream pipeline failures and data inconsistencies.

3. Real-Time Monitoring of Data Freshness and Delivery Delays

digna monitors data ingestion patterns and delivery timelines across all connected sources. It identifies delays in data updates, stale records, and missed delivery windows, ensuring that business-critical reports and analytics are always based on current, reliable information. This capability is essential for time-sensitive decision-making and regulatory compliance.