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
| Product | Who uses it | What for |
|---|---|---|
| Gemini (within Workspace) | All employees | Writing, summarizing, and note-taking in Gmail, Docs, and Meet |
| Gemini Enterprise app | Knowledge workers | Searching internal documents, ready-made agents, no-code agent creation |
| Gemini Enterprise Agent Platform (formerly Vertex AI) | Software and data teams | Model access, fine-tuning, agent development, adding AI to applications |
| NotebookLM Enterprise | Research and knowledge teams | Question-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.
Frequently asked questions
Is my data used to train the model?
How good is the Turkish-language performance?
Where should we start?
Related pages
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.


