The enterprise AI platform: watsonx.ai to build and productionize models, watsonx.data for the open lakehouse, watsonx.governance for AI you can trust.
The difference between an AI experiment and real value is production: governed data, traceable models, controlled costs. watsonx is IBM's platform uniting the three pieces — watsonx.ai (a studio to build, tune and serve models, IBM Granite foundation models included), watsonx.data (the open lakehouse bringing models close to the data) and watsonx.governance (the registry that makes AI explainable and compliant). On-prem, cloud or on OpenShift, even next to your IBM i data.
RAG and fine-tuning on your documents and databases: AI answers with company knowledge, not the internet.
watsonx.governance logs datasets, versions, fairness and drift metrics: when the auditor asks, the answer is there.
On OpenShift and Power: Db2 for i data ready for generative and agentic use cases, without exporting it.
Smaller, specialized models (Granite) where they suffice: you don't need the trillion-parameter model to extract a field from an invoice.
watsonx.data is an open lakehouse (Iceberg formats, multiple engines) that unifies structured and unstructured data and makes it queryable at optimized cost; watsonx.ai is the studio where you pick, tune (prompt-tuning, fine-tuning) and serve models — IBM Granite foundation models, open source or third-party — with RAG and vector support; watsonx.governance intercepts the whole lifecycle: datasets, experiments, metrics, approvals, monitoring of fairness, drift and quality in production, with reports aligned to EU AI Act and ISO/IEC 42001.
RAG and assistants on company documents, data that stays in.
Registry, fairness, audit: compliance as an output.
Db2 for i ready for generative use cases.