AI demos are easy. Production is another matter

Every company has AI experiments stuck in POC. The jump to production needs governed data, explainable and compliant models, predictable costs. watsonx is the platform that provides them.

ai, data, governance: the three pillars

watsonx.ai is the studio where you build, tune and serve models — IBM Granite foundation models included, open and trained for the enterprise. watsonx.data is the open lakehouse (Iceberg, multiple engines) bringing models close to the data at optimized cost. watsonx.governance logs the entire lifecycle: datasets, versions, fairness and drift metrics.

With RAG and fine-tuning on your documents and databases, AI answers with company knowledge — not the internet, and without hallucinating.

Governance not optional, and next to IBM data

When the auditor asks — or the EU AI Act requires it — watsonx.governance has the answer: processing register, fairness, audit trail, alignment to 12 compliance frameworks. AI without governance is a risk with a friendly interface.

And on OpenShift and Power, watsonx runs next to Db2 for i data: ERP data ready for generative and agentic use cases, without exporting it. Sovereignty and latency.

How we start

We help you take experiments to production — governed, not improvised.

• Analysis of use cases and available data
• Architecture: on-prem, cloud or OpenShift
• RAG, tuning and governance on your domain
• MLOps and monitoring 24/7 in the managed services