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Gemini Enterprise Agent Platform

Innovate, build and deploy enterprise ready agents

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents. It's a single destination for technical teams to build agents that can transform enterprise applications and workflows into powerful agentic systems.

New customers get up to $300 in free credits to try Agent Platform and other Google Cloud products. 

Features

Build, scale, govern and optimize enterprise grade AI agents

Agent Platform is our open and comprehensive platform that empowers businesses to rapidly build, scale, govern and optimize enterprise-grade agents grounded in your enterprise data. It provides the full-stack foundation and extensive developer choice you need to transform your applications and workflows into powerful agentic systems at global scale.

Gemini, Google’s most capable multimodal models

Agent Platform offers access to the latest Gemini models from Google, including Gemini 3. Gemini is capable of understanding virtually any input, combining different types of information, and generating almost any output. Prompt and test Gemini in Agent Studio, using text, images, video, or code. Using Gemini’s advanced reasoning and state-of-the-art generation capabilities, developers can try sample prompts for extracting text from images, converting image text to JSON, and even generate answers about uploaded images to build next-gen AI applications.

200+ generative AI models and tools in Model Garden

Choose from the widest variety of models with first-party (Gemini, Imagen, Lyria, Chirp, Veo), third-party (Anthropic's Claude Model Family), and open models (Gemma, Llama) in Model Garden. Use extensions to enable models to retrieve real-time information and trigger actions. You can also customize models to your use case with a variety of tuning options.

Our Model Evaluation service provides enterprise-grade tools for objective, data-driven assessment of generative AI models.

Open and integrated AI platform

Data scientists can move faster with Agent Platform tools for training, tuning, and deploying ML models.

Agent platform notebooks, including your choice of Colab Enterprise or Workbench, are natively integrated with BigQuery providing a single surface across all data and AI workloads.

Agent platform Training and Prediction help you reduce training time and deploy models to production easily with your choice of open source frameworks and optimized AI infrastructure.

MLOps for predictive and generative AI

Agent Platform provides purpose-built MLOps tools for data scientists and ML engineers to automate, standardize, and manage ML projects.

Modular tools help you collaborate across teams and improve models throughout the entire development lifecycle—identify the best model for a use case with Gen AI Evaluation, orchestrate workflows with Pipelines, manage any model with Model Registry serve, share, and reuse ML features with Feature Store, and monitor models for input skew and drift.

How It Works

Agent Platform provides several options for agent building, model training and deployment:

  • Agent Platform enables you to build, scale, govern and optimize enterprise ready agents in one unified platform
  • Generative AI gives you access to large generative AI models, including Gemini 3, so you can evaluate, tune, and deploy them for use in your AI-powered applications
  • Model Garden lets you discover, test, customize, and deploy in Agent Platform and select open-source (OSS) models and assets
  • Custom training gives you complete control over the training process, including using your preferred ML framework, writing your own training code, and choosing hyperparameter tuning options

Common Uses

Build and deploy AI agents

Unlock advanced AI capabilities with Agent Platform

Build production-ready generative AI agents and applications on a platform that scales with you. Our Agent Platform provides a secure environment for developing and deploying AI models and applications.

For developers, Agent Platform remains our advanced platform where you can build, customize, and fine-tune sophisticated agents using frameworks like the Agent Development Kit (ADK).

Generative AI UI in Vertex

Get started with this codelab and build your first AI application today

Unlock advanced AI capabilities with Agent Platform

Build production-ready generative AI agents and applications on a platform that scales with you. Our Agent Platform provides a secure environment for developing and deploying AI models and applications.

For developers, Agent Platform remains our advanced platform where you can build, customize, and fine-tune sophisticated agents using frameworks like the Agent Development Kit (ADK).

Generative AI UI in Vertex

Get started with this codelab and build your first AI application today

Build with Gemini models

Get started with Google's multimodal models

Use Agent Studio to design, test, and manage prompts for Gemini models using natural language, code, images, or video. Try sample prompts for extracting text from images, image mock up to HTML, and even generate answers about uploaded images or videos.

You can also start testing Gemini on Agent Platform with an API key.

Generative AI Model Garden dashboard view

Get started with Google's multimodal models

Use Agent Studio to design, test, and manage prompts for Gemini models using natural language, code, images, or video. Try sample prompts for extracting text from images, image mock up to HTML, and even generate answers about uploaded images or videos.

You can also start testing Gemini on Agent Platform with an API key.

Generative AI Model Garden dashboard view
Access Gemini models via the Gemini API in Agent Platform
View code samples for Python, JavaScript, Java, Go, and Curl
  • Python
  • JavaScript
  • Java
  • Go
  • Curl
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Extract, summarize, and classify data

Use gen AI for summarization, classification, and extraction

Learn how to create text prompts for handling any number of tasks with Agent Platform's generative AI support. Some of the most common tasks are classification, summarization, and extraction. Gemini on Agent Platform lets you design prompts with flexibility in terms of their structure and format.

Data in a spreadsheet

Use gen AI for summarization, classification, and extraction

Learn how to create text prompts for handling any number of tasks with Agent Platform's generative AI support. Some of the most common tasks are classification, summarization, and extraction. Gemini on Agent Platform lets you design prompts with flexibility in terms of their structure and format.

Data in a spreadsheet

Deploy a model for production use

Deploy for batch or online predictions

When you're ready to use your model to solve a real-world problem, register your model to Model Registry and use the Agent Platform prediction service for batch and online predictions. 

ML model prediction

Watch Prototype to Production, a video series that takes you from notebook code to a deployed model.

Deploy for batch or online predictions

When you're ready to use your model to solve a real-world problem, register your model to Model Registry and use the Agent Platform prediction service for batch and online predictions. 

ML model prediction

Watch Prototype to Production, a video series that takes you from notebook code to a deployed model.

Train custom Models

Custom Model training overview and documentation

Get an overview of the custom training workflow in Agent Platform, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.

Google Agent Platform tracker status

Get a video walkthrough of the steps required to train custom models on Agent Platform.

Custom Model training overview and documentation

Get an overview of the custom training workflow in Agent Platform, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.

Google Agent Platform tracker status

Get a video walkthrough of the steps required to train custom models on Agent Platform.

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Pricing

How Agent Platform pricing worksPay for Agent Platform tools, storage, compute and Cloud resources used. New customers get $300 free credits to try Agent Platform and Google Cloud products.
Tools and usageDescriptionPrice

Generative AI

Imagen model for image generation

Based on image input, character input, or custom training pricing

Starting at

$0.0001

Text, chat, and code generation

Based on every 1,000 characters of input (prompt) and every 1,000 characters of output (response).

Starting at

$0.0001

per 1,000 characters

Custom-trained models

Custom model training

Based on machine type used per hour, region, and any accelerators used. Get an estimate using sales or our pricing calculator

Contact sales

Agent Platform notebooks

Compute and storage resources

Based on the same rates as Compute Engine and Cloud Storage.

Refer to products

Management fees

In addition to the above resource usage, management fees apply based on region, instances, notebooks, and managed notebooks used. View details.

Refer to details

Agent Platform Pipelines

Execution and additional fees

Based on execution charge, resources used, and any additional service fees. 

Starting at

$0.03

per pipeline run

Agent Platform Vector Search

Serving and building costs

Based on the size of your data, the amount of queries per second (QPS) you want to run, and the number of nodes you use. View example.

Refer to example

View pricing details for all Agent Platform features and services. 

How Agent Platform pricing works

Pay for Agent Platform tools, storage, compute and Cloud resources used. New customers get $300 free credits to try Agent Platform and Google Cloud products.

Generative AI

Description

Imagen model for image generation

Based on image input, character input, or custom training pricing

Price

Starting at

$0.0001

Text, chat, and code generation

Based on every 1,000 characters of input (prompt) and every 1,000 characters of output (response).

Description

Starting at

$0.0001

per 1,000 characters

Custom-trained models

Description

Custom model training

Based on machine type used per hour, region, and any accelerators used. Get an estimate using sales or our pricing calculator

Price

Contact sales

Agent Platform notebooks

Description

Compute and storage resources

Based on the same rates as Compute Engine and Cloud Storage.

Price

Refer to products

Management fees

In addition to the above resource usage, management fees apply based on region, instances, notebooks, and managed notebooks used. View details.

Description

Refer to details

Agent Platform Pipelines

Description

Execution and additional fees

Based on execution charge, resources used, and any additional service fees. 

Price

Starting at

$0.03

per pipeline run

Agent Platform Vector Search

Description

Serving and building costs

Based on the size of your data, the amount of queries per second (QPS) you want to run, and the number of nodes you use. View example.

Price

Refer to example

View pricing details for all Agent Platform features and services. 

Pricing calculator

Estimate your Agent Platform costs, including region-specific pricing and fees.

Custom quote

Connect with our sales team to get a custom quote for your organization.

Start your proof of concept

New customers get up to $300 in free credits to try Agent Platform and other Google Cloud products

Have a large project?

Browse, customize, and deploy machine learning models

Learn how to set up a Agent Platform project environment

Get started with notebooks for machine learning

Business Case

Unlock the full potential of gen AI


GA Telesis logo

"The accuracy of Google Cloud's generative AI solution and practicality of the Agent Platform gives us the confidence we needed to implement this cutting-edge technology into the heart of our business and achieve our long-term goal of a zero-minute response time."

Abdol Moabery, CEO of GA Telesis

Analyst reports

Google named a Leader in the 2025 IDC MarketScape for Worldwide GenAI Life-Cycle Foundation Model Software. Download the report

Google Named a Leader in the Gartner Magic Quadrant™ for AI Application Development Platforms, Q4 2025. Read the report

Google named a leader in the Forrester Wave™: AI/ML Platforms, Q3 2024. Read the report

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