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Google Cloud · AI

Enterprise AI with Google Cloud

Gemini Enterprise and the Gemini Enterprise Agent Platform (formerly Vertex AI) can build assistants and automations that use your company's documents and systems. We work with you on scenario selection, data security, and setup.

Last updated: 18 September 2026

What is Vertex AI's new name?

Google repositioned Vertex AI under the name Gemini Enterprise Agent Platform. Google Cloud's official product page presents the platform as "Gemini Enterprise Agent Platform (formerly Vertex AI)." Model access, fine-tuning, and agent development happen on this platform. Gemini Enterprise, meanwhile, is the enterprise AI application employees use without writing code.

Which product is for what

ProductWho uses itWhat for
Gemini (within Workspace)All employeesWriting, summarizing, and note-taking in Gmail, Docs, and Meet
Gemini Enterprise appKnowledge workersSearching internal documents, ready-made agents, no-code agent creation
Gemini Enterprise Agent Platform (formerly Vertex AI)Software and data teamsModel access, fine-tuning, agent development, adding AI to applications
NotebookLM EnterpriseResearch and knowledge teamsQuestion-and-answer and summaries based on specific documents

Scenarios we build

Customer service assistant

An assistant trained on product documentation and past records that suggests responses to agents.

Document processing

Extracting information from documents such as invoices, contracts, and forms and feeding it into your systems.

Internal search

Permission-aware, natural-language search across Drive, SharePoint, and wikis.

Process agents

Agents that take on repetitive steps in purchasing, HR, or support processes.

SSS

Frequently asked questions

Is my data used to train the model?

Google Cloud commits that customer data is not used to train foundation models without permission. In projects, we also define access rights, logging, and the region where data will be processed from the start.

How good is the Turkish-language performance?

Gemini models understand and respond in Turkish. In enterprise projects, we prepare a small test set with your own data and measure quality as we go.

Where should we start?

With a single, measurable use case. For example, the support team's response time on frequently asked questions. A two-to-four-week pilot grounds the investment decision in data.

Related pages

Contact

Let's choose your first AI project

Tell us the task your team spends the most time on. We will work out the right scenario and a pilot plan.