Oracle and Google Cloud have expanded their partnership to bring Google’s Gemini models to Oracle’s extensive portfolio of enterprise applications.
The partnership builds on customers’ existing access to Gemini models through Oracle Cloud Infrastructure (OCI) Enterprise AI and is planned to make Gemini models available in Oracle AI Agent Studio for Fusion Applications, a complete development platform that enables organisations to build, connect, execute, and run AI automation and agentic applications using reusable Oracle, partner, and external agents. In addition, Oracle plans to use Geminimodels for embedded AI use cases in Oracle Fusion Applications and Oracle NetSuite.
“Organisations around the world trust Google Cloud’s full AI stack to power critical enterprise workflows and agents,” said Satish Thomas, Vice President, Google Cloud. “Our expanded partnership with Oracle is designed to make it easier for organisations to use Gemini in the applications and agentic workflows they rely on to automate workflows, accelerate decisions, and drive outcomes.”
“Our partnership with Oracle brings Google’s most capable AI models directly into the core application workflows global businesses rely on every day,” said Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud. “Together, we are making it seamless for enterprises to apply powerful and cost-efficient AI directly where business decisions happen.”
With access to Google’s Gemini models in Oracle AI Agent Studio, customers and partners will be able to gain more choice when building Fusion-native agents and agentic applications and expanded multi-modal capabilities. For example, customers and partners will be able to access Gemini 3.1 Flash Lite, a high-efficiency model engineered for optimal price-performance, and Gemini 3.5 Flash for more complex reasoning and specialised tasks, including video and presentation creation, in addition to models from other leading providers.
“To achieve the best business outcomes, organisations need the flexibility to choose the AI model best suited to each problem,” said Chris Leone, executive vice president, applications development, Oracle. “By bringing Geminito Oracle AI Agent Studio for Fusion Applications, we are giving customers and partners greater choice as they build and extend agents and agentic applications that reason through complex, real-world business challenges. Oracle Fusion Applications then turn that reasoning into action through governed workflows, approvals, and transactions.”
Oracle also plans to use Gemini models for embedded AI use cases in Oracle Fusion Applications and NetSuite. In each case, Oracle expects to tap into Gemini where it can deliver optimal price-performance for specific customer scenarios.
“AI is at the core of how customers use and experience NetSuite and choosing the right model for the right use case is critical to helping them get more value from AI,” said Evan Goldberg, founder and executive vice president, Oracle NetSuite. “As we evaluate various AI use cases in NetSuite, we are working with leading large language models, like Google’s Gemini, to help customers improve visibility, automate work, and move from insight to action within NetSuite.”
The addition of Gemini models to Oracle’s enterprise applications complements Oracle’s existing developer offerings, which provide access to Gemini models available via OCI Enterprise AI through integration with GeminiEnterprise Agent Platform. Together, Oracle and Google Cloud are giving customers broader access to powerful, secure, and cost-effective Gemini models that can support AI agents, accelerate development and data integration, and drive innovation across industries.
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