Gemini and Vertex AI, built for your business.
Google Cloud’s Vertex AI brings Gemini models, Google-quality search and a full MLOps platform together. We help organisations build multimodal generative-AI applications and agents on Vertex AI — grounded in their data and connected to BigQuery and Google Workspace.
Overview
Gemini models handle text, images, audio, video and long documents natively, which opens up use cases such as analysing product images, summarising recorded calls or searching large media archives. We design solutions that use these capabilities where they add value — and keep things simple where they don’t.
We ground Gemini in your content with Vertex AI Search and RAG, build agents with Vertex AI Agent Builder and Google’s open-source Agent Development Kit, and connect them to BigQuery, Cloud Storage and your applications — with VPC Service Controls, IAM and data residency controls in place.

What you get with us.
Gemini on Vertex AI
Multimodal models for text, image, audio, video and long-document tasks.
Vertex AI Search & RAG
Enterprise search and grounded answers over websites, documents and structured data.
Agent Builder & ADK
Agents built with Vertex AI Agent Builder and the open-source Agent Development Kit.
BigQuery + AI
Analytics, forecasting and generative AI directly on your BigQuery data.
Model Garden
Choose from Google, open and partner models for each task.
Security & governance
VPC Service Controls, IAM, CMEK encryption and evaluation pipelines.
Where Gemini shines
- Product catalogue enrichment from images and specs
- Search and tagging of large media and document archives
- Call-centre transcript analysis and summarisation
- Long-document review and comparison
- Conversational agents grounded in Google Search or your data
- Data insights directly from BigQuery
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Learn moreReady to build what’s next?
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