Data for AI

Powering AI Through
Data-Fit Foundations

Streamline dynamic AI data pipelines, RAG workflows, model governance, and reusable data products to fuel AI, GenAI and agentic systems at scale. Data Products , Data Marketplace, Data Delivery, Trust Scores, Data Quality, and Bias &Model Monitoring

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Why Pentaho for AI

For AI to deliver on its promise, you need to consistently deliver trusted, high-quality data from structured, semistructured, and unstructured sources in real-time and at scale. For security and efficiency, more and more organizations are leveraging a hybrid approach, leaving more of their data in place while looking for ways to make it easier to deliver the right data to AI workloads, Agents ,and GenAI interfaces. The Pentaho platform, with its modular design and API-driven architecture, fits seamlessly into existing ecosystems to bring governance, quality, and trust to data for AI.

  • Unified and modular: Data Integration, Catalog, Optimizer, Quality, and Governance—built to scale.
  • Trusted by 73% of Fortune 100 companies, backed by Hitachi Vantara.
  • Pentaho helps you become data-fit for AI—improving classification, observability, and data products that fuel successful AI deployments.

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Pentaho for AI

Data Marketplace & Data Products

Use Pentaho Data Catalog to create and share governed data products—quality-assured and ready for reuse.

Publish and discover products with our natural language-powered data marketplace so anyone across the organization – business users, data scientists, executives – can leverage trusted data for AI based on roles and business rules.

Catalog of Catalogs

Pentaho Data Catalog automatically discovers, tags, and contextualizes structured & unstructured data across systems—creating a unified metadata layer across the business that supports AI at scale.

Using Pentaho Data Catalog as a “catalog of catalogs” enables cross-domain data discovery and metadata harmonization.

On-Demand Data Pipelines

Visual ETL with Pentaho Data Integration enables you to build scalable, hybrid pipelines that prepare your data for AI and GenAI workloads.

Pentaho’s GenAI Plugin Suite seamlessly integrates GenAI into transformation workflows.

Data Governance

Native model management, in-flight data quality, and end-to-end lineage, along with robust policy and access controls, help you govern data with enforcement and observability.

Stay compliant with frameworks like the EU AI Act, vital for any regulated industry, from banking, insurance, healthcare, manufacturing, and more.

The Result? RAG Pipelines

  • Build RAG workflows by combining catalog-tagged data with live retrieval for AI applications.
  • Enable chunking strategies based on content type
  • Support for “agentic RAG” designs with orchestration, autonomous agents, and metadata-driven retrieval.
  • Ensure proper data formats for vector database ingestion
  • Track lineage to know where retrieved data came from
  • Tag data with metadata during data indexing to improve search relevance
  • Eliminate ROT (redundant, obsolete, and trivial) data to improve retrieval accuracy

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Dive in Deeper with Data for AI

Blogs

Data-Fit and Future Ready

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Blogs

What Banks Need to Know About EU AI Act Compliance and Ethical AI Governance

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Blogs

Unlocking Advanced Analytics with Pentaho Data Integration Enterprise Edition’s Data Capabilities

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Reports & Guides

Data Catalogs: Intelligence in the Modern Data Environment

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Pentaho Platform

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