Trusted data for trusted AI. Ensure accuracy, completeness, and compliance from day one
QualityKiosk ensures data pipelines remain accurate, compliant, and migration-ready through real-time monitoring, lineage tracing, and rule enforcement. With Datagaps DQ+, Metadata+, plus pre-built industry frameworks, clients accelerate core system migrations, stay ahead of compliance mandates, and scale AI adoption with confidence.
Build AI-ready, quality-first data environments with validation, rule orchestration, and continuous profiling. Automated controls and continuous anomaly detection ensure secure, audit-ready datasets, while governance safeguards sensitive data.
Streamlined preparation speeds realistic validation across migrations, warehouses, and core systems for trusted AI adoption.
Ensure data you can trust with AI-driven observability that keeps pipelines reliable, insights accurate, and compliance assured.
From real-time monitoring to lineage tracing and automated governance, we help enterprises prevent silent failures with integrations across Snowflake, dbt, BigQuery, and Power BI.
Ensure trusted, high-integrity data with our lightweight AI-powered platform for data quality and observability. Detect broken ETL pipelines early, validate schema and data during migrations, and stay compliant with audit-ready datasets.
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