Oracle Expands Google Cloud Partnership to Integrate Gemini AI Models Across Enterprise Applications

Oracle adds Google Gemini to the agent menu

Oracle plans to add Google's Gemini models to AI Agent Studio for Fusion Applications, expanding its partnership with Google Cloud and giving customers another option for building AI agents. Big Red also intends to use Gemini models for embedded AI use cases in Oracle Fusion Applications and Oracle NetSuite. In a prepared statement, Google Cloud VP Satish Thomas said that the partnership was designed to "make it easier for organizations to use Gemini in the applications and agentic workflows they rely on to automate workflows, accelerate decisions, and drive outcomes." Google's Gemini models will be available in Oracle AI Agent Studio, where customers and partners can build Fusion-native agents and agentic applications. Oracle said the integration would also provide expanded multimodal capabilities. Gemini 3.1 Flash Lite and Gemini 3.5 Flash will be available through AI Agent Studio alongside Oracle's existing model options. Oracle applications development executive VP Chris Leone said in a statement that the move would give customers and partners "greater choice as they build and extend agents and agentic applications that reason through complex, real-world business challenges." When Oracle launched its platform for putting LLM-powered agents in its Fusion application suite - the target migration path for thousands of organizations around the world running Oracle applications - it said customers could use models from Cohere and Meta, while connecting other supported models through the platform. The Register has asked Big Red whether Cohere and Meta models will remain available, and we'll update this if we hear back. After Oracle launched Fusion Agentic Applications earlier this year, Gartner advised that there were unanswered questions about how the technology would be implemented. Balaji Abbabatulla, Gartner VP and vendor lead analyst for Oracle, said: "Our position is that this sounds good, but be cautious. It doesn't necessarily look as glittery as it sounds. There are challenges under the hood which are not being overcome right now, but maybe over time." He also pointed out that Oracle and other vendors must still answer the question of who takes responsibility for AI decision-making should it go wrong. If an AI agent makes a bad decision at scale and speed, errors could cascade before anyone notices. Oracle's answer so far is monitoring and audit tooling, but Abbabatulla is unconvinced: "I don't see a clear response from any vendor on the liability issue." ®

Oracle adds Google's Gemini to its apps; stock jumps 8%

Oracle is bringing Google's Gemini models into the enterprise software its customers run on, from Fusion Applications to NetSuite, deepening an unlikely alliance with a cloud rival. Investors sent Oracle up as much as 8%. It is the enterprise trend of the year: give customers a choice of AI model inside tools they already use. The catch, Gartner warns, is that nobody has answered who is liable when an agent gets it wrong. Oracle has just put its cloud rival's AI at the heart of the software its customers run their businesses on. Investors cheered. The company said on Thursday it is expanding its Google Cloud partnership to bring Gemini into Oracle's enterprise applications. Gemini will slot into Oracle AI Agent Studio for Fusion Applications. It will also power embedded AI across Oracle Fusion apps and NetSuite. Two models are on the menu. Gemini 3.1 Flash-Lite is tuned for cheap, efficient work. Gemini 3.5 Flash handles heavier reasoning and creative tasks such as video and presentations. Both join models Oracle already offers. Wall Street liked it. Oracle shares rose as much as 8.4% to $127.64, Bloomberg reported. Even giants are going multi-model The logic is choice. Rather than lock customers into its own AI, Oracle is offering Google's as another option inside tools they already use. It is the enterprise trend of the year: pick the best model for each job, rather than one model for everything. "Organizations need the flexibility to choose the AI model best suited to each problem," said Chris Leone, Oracle's applications-development chief. Oracle Fusion, he added, then turns that reasoning into action "through governed workflows, approvals, and transactions." An unlikely alliance, deepening Oracle and Google compete hard in the cloud, yet their partnership keeps growing, from raw infrastructure to agentic AI. Notably, the model Oracle picked for its app layer is not from OpenAI, its roughly $300bn infrastructure partner, but from Google. Cohere and Meta models were already on offer. For Google, it is a route into thousands of businesses through software they already run. NetSuite alone claims more than 44,000 customers. For Oracle, it is a fresh selling point as it pours hundreds of billions into AI data centres. The hard questions are still open Not everyone is dazzled. The plan "sounds good, but be cautious," Gartner analyst Balaji Abbabatulla told The Register. "It doesn't necessarily look as glittery as it sounds. There are challenges under the hood." The biggest is accountability. If an autonomous agent makes a bad call at speed, errors can cascade before anyone notices. It is not clear who is liable. Oracle points to monitoring and audit tools. Abbabatulla is not convinced any vendor has answered the question. For a company wrestling with a heavy AI debt load and a vast OpenAI bet, a stock pop from a model deal is welcome. It also shows where enterprise AI is heading. Even the giants now rent their rivals' brains, and try to keep a human near the controls.

Oracle Expands Google Cloud Partnership to Bring Gemini AI Models to Enterprise Applications

In addition, Oracle plans to use Gemini models for embedded AI use cases in Oracle Fusion Applications and Oracle NetSuite. 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 organizations to build, connect, execute, and run AI automation and agentic applications using reusable Oracle, partner, and external agents. In addition, Oracle plans to use Gemini models for embedded AI use cases in Oracle Fusion Applications and Oracle NetSuite. "Organizations 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 organizations 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 specialized tasks, including video and presentation creation, in addition to models from other leading providers. "To achieve the best business outcomes, organizations need the flexibility to choose the AI model best suited to each problem," said Chris Leone, executive vice president, applications development, Oracle. "By bringing Gemini to 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 Gemini Enterprise 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.

Oracle to Make Gemini Models Available to Thousands of Enterprise Applications Customers

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 organizations to build, connect, execute, and run AI automation and agentic applications using reusable Oracle, partner, and external agents. In addition, Oracle plans to use Gemini models for embedded AI use cases in Oracle Fusion Applications and Oracle NetSuite. "Organizations 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 organizations 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 specialized tasks, including video and presentation creation, in addition to models from other leading providers. "To achieve the best business outcomes, organizations need the flexibility to choose the AI model best suited to each problem," said Chris Leone, executive vice president, applications development, Oracle. "By bringing Gemini to 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 Gemini Enterprise 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.

Oracle shares pop 3.3% as Google cloud AI partnership expands By Investing.com

Investing.com -- Oracle (NYSE: ORCL) stock surged 3.3% Thursday morning following a key expansion of its Google Cloud partnership, injecting Google's flagship Gemini AI directly into Oracle's enterprise software ecosystem. Shares also benefited from broad strength in tech stocks. Under the deal announced today, Google's Gemini models are coming to Oracle AI Agent Studio for Fusion Applications -- allowing enterprise clients to build, customize, and deploy autonomous AI agents. Oracle also plans to embed Gemini natively across its flagship Fusion Cloud Applications and Oracle NetSuite. The rollout features a duo of Google models: Gemini 3.1 Flash Lite for high-efficiency, cost-optimized tasks, and Gemini 3.5 Flash for advanced reasoning, including dynamic video and presentation generation. Crucially for enterprise customers, Oracle is maintaining a multi-model architecture, leaving door open for third-party AI models. "To achieve the best business outcomes, organizations need the flexibility to choose the AI model best suited to each problem," said Chris Leone, EVP of Applications Development at Oracle. "Bringing Gemini to AI Agent Studio gives our customers greater choice as they build next-generation agentic workflows." NetSuite founder and EVP Evan Goldberg added that integrating top-tier LLMs like Gemini enables NetSuite users to "improve visibility, automate work, and move seamlessly from insight to action."

Oracle Corporation and Google Cloud Expand Partnership to Make Gemini Models Available to Oracle Corporation Enterprise Applications Customers

Oracle Corporation and Google Cloud have expanded their partnership to bring Google's Gemini models to Oracle Corporation's extensive portfolio of enterprise applications. The partnership builds on customers' existing access to Gemini models through Oracle Corporation Cloud Infrastructure Enterprise AI and is planned to make Gemini models available in Oracle Corporation AI Agent Studio for Fusion Applications, a complete development platform that enables organizations to build, connect, execute, and run AI automation and agentic applications using reusable Oracle Corporation, partner, and external agents. In addition, Oracle Corporation plans to use Gemini models for embedded AI use cases in Oracle Corporation Fusion Applications and Oracle Corporation NetSuite. With access to Google's Gemini models in Oracle Corporation 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 specialized tasks, including video and presentation creation, in addition to models from other leading providers. Oracle Corporation also plans to use Gemini models for embedded AI use cases in Oracle Corporation Fusion Applications and Oracle Corporation NetSuite. In each case, Oracle Corporation expects to tap into Gemini where it can deliver optimal price-performance for specific customer scenarios. The addition of Gemini models to Oracle Corporation's enterprise applications complements Oracle Corporation's existing developer offerings, which provide access to Gemini models available via Oracle Corporation Cloud Infrastructure Enterprise AI through integration with Gemini Enterprise Agent Platform. Together, Oracle Corporation 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.

Oracle, Google Expand Partnership to Put Gemini in Enterprise Applications

Oracle and Google said they would expand their partnership to put Google's Gemini models into Oracle's portfolio of enterprise applications. The companies said Thursday that the partnership builds on customers' existing access to Gemini models on Oracle Cloud Infrastructure's Enterprise AI. Now, the models will be available in Oracle AI Agent Studio for Fusion Applications, which is a development platform that lets organizations build, connect, execute and run AI automation and agentic applications using reusable Oracle, partner, and external agents. "Our expanded partnership with Oracle is designed to make it easier for organizations to use Gemini in the applications and agentic workflows they rely on to automate workflows, accelerate decisions, and drive outcomes." said Satish Thomas, vice president of Google Cloud.