Decube
Decube offers a unified platform that combines data observability, discovery, and governance to create a trusted data foundation for both regulatory compliance and AI applications. By integrating lineage, quality, and governance features, it enables faster data asset discovery and incident response, reducing manual testing and reporting effort for data engineers and compliance teams.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
Funding
Funding not disclosed
- firstmovefund.com (opens in a new tab)investor website
- orvel.vc (opens in a new tab)investor website
Founders
Product
Problem
AI development outpaces the ability to verify the underlying data, leading to broken trust, unclear data ownership, audit risk, and decisions made on uncertain information. Organizations face fragmented data pipelines, multiple systems, and increasing regulatory demands, making it difficult to quickly assess data quality, lineage, and compliance.
Solution
Decube offers a single platform that integrates data observability, discovery, and governance, creating a trusted data foundation for both audit and AI use cases. By unifying lineage tracking, quality monitoring, and governance controls, the platform enables data engineers to rapidly identify and resolve pipeline failures, while data stewards can generate regulator‑required PII maps and other compliance artifacts. Automated lineage and quality metrics reduce manual testing and reporting effort, accelerating data asset discovery by up to 80 %. The solution provides a centralized view of data provenance and health, allowing data leaders to demonstrate data trustworthiness to executives and regulators.
Target Audience
Primary customers are data engineers, data governance teams, and chief data officers in regulated industries such as banking, insurance, telecom, and financial services who need to ensure data quality, compliance, and trust for analytics and AI initiatives.
Features
- Unified dashboard that combines real‑time data observability, lineage visualization, and governance policies
- Automated data quality checks with alerting for pipeline failures and anomalies
- Built‑in PII detection and mapping tools to generate regulatory compliance reports
- Integration connectors for major data warehouses and processing platforms such as Snowflake and Databricks
- Centralized metadata repository that supports audit trails and versioned data lineage
- Role‑based access controls and policy enforcement to ensure consistent governance across teams