Global partners back Oracle’s AI Data Platform with new investments

From ingestion to inference, Oracle unifies the AI lifecycle for enterprise teams.
Oracle pitches faster innovation and measurable impact as AI moves from pilots to production.

Oracle has made its AI Data Platform generally available, positioned to connect generative models with enterprise data, applications, and workflows. It unifies ingestion, semantic enrichment, and vector indexing to speed the path from raw data to production AI.

The platform combines Oracle Cloud Infrastructure, Autonomous AI Database, and OCI Generative AI to enable agentic applications. Business users get embedded intelligence and automation, while developers gain a single, enterprise-grade environment for building and scaling.

Open lakehouse formats such as Delta Lake and Iceberg reduce duplication by providing a unified catalogue for governance and trust. Agent Hub interprets requests, routes to the right agents, and enables action, while A2A and MCP standards support multi-agent systems.

Zero-ETL and Zero Copy connect data from finance, HR, supply chain, sales, and service without moving it. Multicloud and hybrid orchestration links on-premises, edge, and third-party sources, with NVIDIA acceleration for high-performance workloads.

Tailored editions are planned for Fusion, NetSuite, and industry suites, leveraging Fusion Data Intelligence. Global partners have pledged over $1.5bn, training 8,000+ practitioners and developing 100+ use cases to accelerate deployments.

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