Gemini Enterprise Agent Platform

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.
Try Agent Platform free[](https://console.cloud.google.com/freetrial/?redirectPath=/agent-platform/overview)
Contact sales[](https://cloud.google.com/contact)
Product highlights
- Accelerate agent development with unified data and AI
- Build generative AI apps quickly with Gemini
- Train, test, and tune ML models on a single platform
Start building with Nano Banana Pro (Gemini 3 Pro Image) in the Gemini API todayTry it in Agent Platform- Agent Platform enables you to build, scale, govern and optimize enterprise ready agents in one unified platform
- Agent Studio 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
- View available models in Agent Platform
- 101 real-world gen AI use cases with technical blueprints
- Design agents in Agent Studio
- View available models in Agent Platform
- 101 real-world gen AI use cases with technical blueprints
- Design agents in Agent Studio
- Set up the Agent Platform Gemini API
- Guides and examples for building with Gemini models
- Featured Gemini models
- Python
- JavaScript
- Java
- Go
- Curl
- Set up the Agent Platform Gemini API
- Learn multimodal design best practices
- [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai)Repository for sample code and notebooks
- Set up the Agent Platform Gemini API
- Guides and examples for building with Gemini models
- Featured Gemini models
- Python
- JavaScript
- Java
- Go
- Curl
- Set up the Agent Platform Gemini API
- Learn multimodal design best practices
- [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai)Repository for sample code and notebooks
- Overview of prompting strategies
- Learn about AI-powered prompt writing tools in Agent Studio
- View all generative AI prompt samples
- Overview of prompting strategies
- Learn about AI-powered prompt writing tools in Agent Studio
- View all generative AI prompt samples
- Get hands on with a Agent Platform Predictions codelab
- Simplify model serving with custom prediction routines
- Use prebuilt containers for prediction and explanation
- Get hands on with a Agent Platform Predictions codelab
- Simplify model serving with custom prediction routines
- Use prebuilt containers for prediction and explanation
- Custom training beginner's guide
- Train a model using Agent Platform and the Python SDK
- Learn to build and deploy machine learning solutions on Agent Platform
- Custom training beginner's guide
- Train a model using Agent Platform and the Python SDK
- Learn to build and deploy machine learning solutions on Agent Platform
- How grounding your models helps you gain a competitive edge.Read the report
- How generative AI takes enterprise search to a whole new level.Read the report
- See how our customers are implementing generative AI to transform their businesses.Learn more
---
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.
Agent-powered development and workflows
Now available through Agent Platform, Google Antigravity provides a centralized app to steer, customize, and orchestrate agents. You can deploy multiple agents to simultaneously execute entire workflows like product launches—automating the code generation for your website, on-brand asset creation, and customer email production. Download Antigravity and log in to the desktop application or Antigravity CLI using your standard Google Cloud credentials.
200+ Google and third-party AI models and tools
Choose from Google’s latest multimodal models like Gemini 3.5, third-party models like Anthropic's Claude Model Family, and open models like Gemma in Model Garden. 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.
Quickstart: Get started with Gemini 3
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 Model 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.
MLOps with Agent Platform: Model EvaluationNo cost training Get started
View all features
How It Works
###
Agent Platform provides several options for agent building, model training and deployment:
View documentation[](https://docs.cloud.google.com/gemini-enterprise-agent-platform)
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).
View documentation [](https://docs.cloud.google.com/gemini-enterprise-agent-platform)
Get started with this codelab and build your first AI application today
#### Tutorials, quickstarts, & labs
#####
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).
View documentation [](https://docs.cloud.google.com/gemini-enterprise-agent-platform)
Get started with this codelab and build your first AI application today
Build with Gemini models
#####
Start building with Agent Studio
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.
Try Gemini in Agent Platform[](https://console.cloud.google.com/freetrial/?redirectPath=/vertex-ai/generative/multimodal/create/text)
#####
Access Gemini models via the Gemini API in Agent Platform
View code samples for Python, JavaScript, Java, Go, and Curl
Python
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content\_copy
View more code samples [](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/samples)
#### Tutorials, quickstarts, & labs
#####
Start building with Agent Studio
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.
Try Gemini in Agent Platform[](https://console.cloud.google.com/freetrial/?redirectPath=/vertex-ai/generative/multimodal/create/text)
#### Code sample
#####
Access Gemini models via the Gemini API in Agent Platform
View code samples for Python, JavaScript, Java, Go, and Curl
Python
Loading...
content\_copy
View more code samples [](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/samples)
Extract, summarize, and classify data
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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.
View text prompt design docs[](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design)
#### Tutorials, quickstarts, & labs
#####
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.
View text prompt design docs[](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design)
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.
Learn how to get predictions from an ML model[](https://www.youtube.com/watch?v=-9fU1xwBQYU)
Watch Prototype to Production, a video series that takes you from notebook code to a deployed model.
#### Tutorials, quickstarts, & labs
#####
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.
Learn how to get predictions from an ML model[](https://www.youtube.com/watch?v=-9fU1xwBQYU)
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.
View overview documentation[](https://cloud.google.com/vertex-ai/docs/training/overview)
Get a video walkthrough of the steps required to train custom models on Agent Platform.
#### Tutorials, quickstarts, & labs
#####
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.
View overview documentation[](https://cloud.google.com/vertex-ai/docs/training/overview)
Get a video walkthrough of the steps required to train custom models on Agent Platform.
Generate a solution
What problem are you trying to solve?
Generate solution
_shuffle_Surprise me
What you'll get:
_check\_small_Step-by-step guide
_check\_small_Reference architecture
_check\_small_Available pre-built solutions
_spark_Use various generative models
_spark_Train a custom model
_spark_Generate custom images
This service was built with Gemini Enterprise Agent Platform. You must be 18 or older to use it. Do not enter sensitive, confidential, or personal info.
Pricing
| 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. | | | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------- | | Tools and usage | Description | Price | | Generative AI | Imagen model for image generationBased on image input, character input, or custom training pricing. | Starting at$0.0001 | | Text, chat, and code generationBased on every 1,000 characters of input (prompt) and every 1,000 characters of output (response). | Starting at$0.0001per 1,000 characters | | | Custom-trained models | Custom model trainingBased 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 resourcesBased on the same rates as Compute Engine and Cloud Storage. | Refer to products | | Management feesIn 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 feesBased on execution charge, resources used, and any additional service fees. | Starting at$0.03 per pipeline run | | Agent Platform Vector Search | Serving and building costsBased 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.
Estimate your costs[](https://cloud.google.com/products/calculator)
###
Custom quote
Connect with our sales team to get a custom quote for your organization.
Request a quote[](https://cloud.google.com/contact)
###
Start your proof of concept
###
New customers get up to $300 in free credits to try Agent Platform and other Google Cloud products
Get started for free[](https://console.cloud.google.com/freetrial/?redirectPath=/agent-platform/overview)
###
Have a large project?
Contact sales[](https://cloud.google.com/contact)
###
Browse, customize, and deploy machine learning models
Browse Model Garden[](https://console.cloud.google.com/vertex-ai/model-garden)
###
Learn how to set up a Agent Platform project environment
Read guide[](https://cloud.google.com/vertex-ai/docs/start/cloud-environment)
###
Get started with notebooks for machine learning
Watch video[](https://www.youtube.com/watch?v=%5FQ1Nf-rgSiE)
Business Case
Unlock the full potential of gen AI
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"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
Learn more[](https://www.googlecloudpresscorner.com/2023-06-07-Leading-Global-Airline-Supplier,-GA-Telesis,-Integrates-Google-Clouds-Generative-AI-Technology)
Related content
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




