Decube announces AI Governance capabilities for enterprises
The features include agent registries, lineage, observation, policies, and auditable accountability.
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In short: Decube raised $3 million to expand its AI governance and enterprise context layer, enhancing data trust for agentic AI applications.
The features include agent registries, lineage, observation, policies, and auditable accountability.
It lets producers package datasets and consumers discover them with quality signals.
The connector brings warehouse and lakehouse metadata into Decube's catalog, closing governance blind spots.
The framework allows documenting on-prem, legacy, and custom systems without a native connector, ensuring complete governance coverage.
SINGAPORE, Jan. 30, 2026 /PRNewswire/ -- Decube, a data trust and context platform for enterprise AI, has raised USD 3 million in its latest funding...
SINGAPORE, Jan. 30, 2026 /PRNewswire/ -- Decube, a data trust and context platform for enterprise AI, has raised USD 3 million in its latest funding...
Decube, a pioneer in unified data management solutions, is launching its Copilot, an advanced AI-driven tool designed to give organizations seamless, data-driven decision-making capabilities. Decube's...
Robust data governance policies are crucial in ensuring accurate reports for investors and seamless functioning of machine learning models. Decube, a pioneer in data observability...
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