Agentspace vs Vertex AI vs Gemini: Comparing the Google AI Tools

As AI becomes more advanced and companies continue to seek opportunities for competitive advantage, the demand for AI-powered tools to automate tasks, manage data, and optimize communication grows significantly. Google is positioning itself as a leader in enterprise AI by providing these versatile platforms designed to meet the diverse needs of organizations.

At the heart of this AI expansion are three major tools: Gemini, Vertex AI, and Agentspace. In this blog post, we’ll compare these three tools, highlight their unique features, and explore when and why each should be used. As a Google Premier Partner, Promevo is here to help businesses deploy and manage these cutting-edge AI solutions for maximum impact.

Overview of Google’s AI Landscape

Google’s AI strategy focuses on integrating generative AI across Google Workspace, Google Cloud, and third-party applications. By embedding AI into everyday tools, Google enables organizations to automate repetitive tasks, enhance decision-making, and improve collaboration.

With the introduction of Gemini, Vertex AI, and Agentspace, Google has created a comprehensive ecosystem that caters to businesses of all sizes, from small startups to large enterprises.

Here’s a brief overview of the three key products in this landscape:

• Gemini: Google’s generative AI assistant, integrated into Workspace tools like Gmail, Docs, Sheets, and Meet. It helps users generate content, perform tasks, and gain insights quickly.
  

• Vertex AI: A powerful machine learning platform that helps developers and data scientists build, train, and deploy custom AI models at scale.
  

• Agentspace: Google’s environment for building and managing autonomous AI agents that can perform complex tasks, reason, and take multi-step actions.
  

These tools complement each other, allowing organizations to leverage AI at multiple levels: from productivity-enhancing assistants to custom-built models and autonomous agents.

Agentspace vs Vertex AI vs Gemini: What's the Difference? 

Gemini: The AI Assistant for Everyone & The Model Behind It

If you attended Google Next 2025, you probably heard a lot about Gemini for Google Workspace as well as Gemini 2.0 and 2.5. While these solutions share a name are similar, there are still key differences that every company using Google Workspace should know. 

• Gemini for Google Workspace:  Gemini for Google Workspace is a generative AI assistant  integrated directly into apps like Gmail, Docs, Sheets, and Slides, Gemini helps users with tasks such as:

  • Drafting, summarizing, or adjusting the tone of emails in Gmail.

  • Generating or rewriting content in Docs.

  • Creating tables and formulas in Sheets based on plain language instructions.

  • Developing speaker notes or images in Slides.

  • Taking notes, summarizing meetings, and generating action items in Meet.

• Gemini 2.0/ 2.5:  Gemini 2.0 and 2.5 refer to the family of large language models (LLMs) that power Gemini for Google Workspace, as well as many other Google AI solutions including Vertex AI and Agentspace. These models are continuously improving, with Gemini 2.5 set to launch in mid-2025, bringing even more powerful context handling and reasoning abilities.
  

Gemini access is available for Google Workspace Business and Enterprise plans, making it a versatile tool for organizations looking to boost employee productivity without requiring any coding knowledge. With its seamless integration into existing tools, Gemini helps users save time and focus on higher-value tasks.

Vertex AI: The Platform for Developers & Data Scientists

Unlike Gemini, which is designed for end-users, Vertex AI is aimed at developers and data scientists. It’s a platform for building, training, and deploying custom machine learning (ML) models, enabling teams to create tailored AI solutions for specific business needs.

Vertex AI supports the entire ML lifecycle, from model training and tuning to deployment and management. Key features include:

• Model Garden: A library of pre-trained models that can be fine-tuned for specific use cases.
  

• Generative AI Studio: A tool for prompt tuning and prototyping, allowing teams to experiment with generative AI models.
• Vertex AI Search and Conversation: Tools for building AI-driven search and chat applications.
  

Use cases for Vertex AI are wide-ranging and include:

• Training custom models for unique business requirements.
• Fine-tuning existing models for specific industries or tasks.
• Automating workflows using AI pipelines.

While Gemini is accessible to anyone with a Google Workspace account, Vertex AI primarily caters to teams with technical expertise, including developers, data scientists, and machine learning engineers. It’s ideal for businesses that need tailored AI models for complex use cases.

Agentspace: Building Agentic AI Experiences

Agentspace is Google’s newest platform designed to help businesses create and manage agentic AI experiences. Agentic AI refers to AI systems capable of reasoning, planning, and taking multi-step actions autonomously.

This level of AI is a significant leap forward, offering businesses the ability to build agents that can perform tasks without constant human oversight.

Here’s how Agentspace works:

• Powered by Gemini Models: Agentspace uses Gemini’s large language models to power its AI agents.
  
• Integration with Vertex AI: For more advanced use cases, Agentspace can integrate with Vertex AI to bring custom-built models into the mix.
• Tools for Long Context and Memory: Agentspace provides tools like memory and long context, which allow AI agents to remember previous interactions and handle more complex tasks.
  

Early use cases for Agentspace include:

• Customer support agents: AI agents that can autonomously manage customer inquiries, provide solutions, and escalate issues when necessary.
  

• Internal workflows: Automating internal processes like HR management or IT helpdesk tasks.
  

• App development: Embedding AI agents into applications to perform automated tasks.
  

Currently, Agentspace is available on an allowlist-only basis, but businesses interested in using the platform can contact Promevo for access.

Choosing the Right Tool for Your Organization

When deciding which of these AI platforms to use, it’s important to consider your organization’s needs, goals, and the level of expertise within your team.

• Choose Gemini if you’re looking for a productivity-enhancing AI assistant that’s easy to integrate with Google Workspace. It’s perfect for teams that need AI capabilities without the need for deep technical expertise.
  

• Choose Vertex AI if your team includes developers or data scientists and you need to build custom machine learning models. It’s the right choice for large-scale AI solutions and complex business use cases.
  

• Choose Agentspace if you’re looking to develop autonomous AI agents that can reason, plan, and perform tasks on their own. It’s ideal for businesses wanting to create advanced AI-driven experiences.
  

These tools aren’t mutually exclusive; many organizations may find value in using multiple platforms together. For example, Gemini can handle front-end user tasks, while Vertex AI manages the backend AI models, and Agentspace orchestrates autonomous workflows.

Google’s AI ecosystem offers a range of powerful tools designed to meet the diverse needs of businesses. Whether you're enhancing productivity with Gemini, building custom AI solutions with Vertex AI, or creating autonomous agents with Agentspace, Google has a solution that can help you leverage AI for growth and efficiency.

Promevo is here to support you in deploying and managing these AI tools, ensuring that your organization can make the most of Google’s AI innovations. Contact us to get started.