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What is Gemini Enterprise in 2026: Google Cloud's Agentic Platform

Discover what Gemini Enterprise is in 2026, Google Cloud's new agentic platform. Explore editions, pricing, use cases in Brazil, and market comparisons.

Fabiano Brito

Fabiano Brito

CEO & Google Cloud Architect, Autenticare

What is Gemini Enterprise in 2026: Google Cloud's Agentic Platform
Gemini Enterprise is Google Cloud's enterprise artificial intelligence platform that acts as an end-to-end mission control center for creating, governing, and optimizing autonomous agents. For enterprises, this unified ecosystem replaces fragmented legacy architectures to enable secure, cost-predictable agent orchestration integrated with corporate data.
TL;DR: Gemini Enterprise evolved into the Gemini Enterprise Agent Platform in 2026, consolidating low-code and code-based tools for AI agents. The Business edition starts at US$ 21/month per user, while billing in Brazilian Reais (BRL) requires direct quoting. The market is already adopting the solution, as seen with Perdigão's use of Gemini 2.5 Flash in Brazil.

What is Gemini Enterprise? It is Google Cloud’s enterprise artificial intelligence platform that, in 2026, acts as an end-to-end mission control center for creating, governing, and optimizing autonomous agents. Designed for both engineering and business teams, the solution replaces fragmented legacy architectures with a unified AI development and deployment ecosystem.

For Chief Technology Officers (CTOs) and cloud architects, transitioning to the agentic era requires understanding not just the capabilities of new foundational models, but how to orchestrate them with security, cost predictability, and deep integration into corporate data. This article details the platform’s evolution, its editions, the pricing landscape, and how the Brazilian market is adopting these technologies.

What Changed: From Vertex AI to the Gemini Enterprise Agent Platform

The evolution of Google Cloud’s AI ecosystem marks the transition from isolated machine learning tools to an architecture focused on autonomous agents. In 2026, Vertex AI evolved and was replaced by the Gemini Enterprise Agent Platform, a comprehensive end-to-end “mission control” platform designed for teams to build, govern, and optimize AI agents.

Although Gemini Enterprise originally launched in 2025, the major architectural shift occurred when the Gemini Enterprise Agent Platform was announced at Cloud Next on April 22, 2026. During this event, Google made its pivot toward the “agentic era” official, also launching the eighth generation of its dual-chip Tensor Processing Units (TPUs), specifically tailored for agent inference and training.

This infrastructure was subsequently expanded. On May 19, 2026, during Google I/O ‘26, Google integrated the “Antigravity 2.0” native development platform into the Gemini Enterprise Agent Platform. This update allows enterprise customers to run complex multi-agent workflows optimally with the newly announced Gemini 3.5 Flash model.

To understand more about this historic infrastructure transition, read our analysis on the migration from Vertex AI to the Gemini Enterprise Agent Platform.

Architectural Layer Vertex AI (Legacy) Gemini Enterprise Agent Platform (2026)
Primary Focus Isolated ML models & pipelines Autonomous multi-agent orchestration
Development Tools Notebooks & custom Python code Agent Studio (low-code) & Agent SDK
Infrastructure Optimization Standard GPU/TPU provisioning 8th Gen TPUs & Antigravity 2.0 engine

Platform Editions and Features

The Gemini Enterprise Agent Platform was structured to cater to everyone from small business teams to complex software engineering operations. The platform includes both low-code tools (Agent Studio) and code-based tools (Agent Development Kit), allowing flexibility in workflow construction.

Agent Studio (Low-Code)

Empowers business analysts and product managers to design, test, and deploy conversational workflows using visual drag-and-drop interfaces.

Agent Development Kit (Code-Based)

Provides software engineers with robust SDKs, API integrations, and CI/CD pipelines to build complex, multi-agent programmatic systems.

To streamline adoption, Google Cloud divides licensing into different editions. Below, we detail the known structure, focusing on the Business edition, which has public specifications confirmed for 2026:

EditionMain FocusBase PriceConfirmed Features
BusinessSmall teams (no heavy IT setup)US$ 21 per license/month25 GiB of shared storage per user; access to the enterprise data connector ecosystem.
StandardMid-sized operationsConsult pricing pageSpecific features and quota limits upon official request.
PlusHigh-demand environmentsConsult pricing pageAdvanced governance and processing features upon official request.
FrontlineFrontline workersConsult pricing pageMobile integrations and tailored limits upon official request.
8th Gen
TPU Infrastructure
2.0
Antigravity Engine
3.5 Flash
Native Model Support
US$ 21
Business License / mo

Access to the connector ecosystem is a critical differentiator of the Business edition, enabling agents to interact with legacy systems and ERPs. To dive deeper into this topic, check out our guide on Gemini Enterprise connectors for SAP, Salesforce, and ServiceNow.

Use Cases in Brazil: The Perdigão Example

The adoption of agentic AI in the Brazilian corporate market already showcases large-scale practical use cases, focused on improving end-consumer interaction through popular channels and multimodal analysis.

In the 2026 Brazilian corporate market, major food industry companies like Perdigão are already integrating Google’s agentic AI (such as Gemini 2.5 Flash on WhatsApp) to analyze the visual context of consumer health habits. This move reflects the practical application of these AI innovations in the country, stepping out of the lab environment and into direct customer contact.

1

Connect Enterprise Data

Securely link your agents to internal databases, ERPs (SAP, Salesforce), or Google Workspace using native enterprise connectors.

2

Orchestrate Multi-Agent Workflows

Define specialized roles, guardrails, and collaboration protocols between agents using the Antigravity 2.0 orchestration engine.

3

Deploy and Optimize

Launch agents across channels (like WhatsApp or web portals) and continuously monitor performance, costs, and safety metrics.

The ability to process visual context directly within a messaging app demonstrates the power of rapid inference provided by the Flash models. Companies looking to replicate this level of intelligent automation can rely on specialized services, like our agent factory, to design and implement multimodal conversational workflows.

Pricing in Reais (BRL) and Market Comparison

Licensing costs are a decisive factor.


Frequently Asked Questions

What is the Gemini Enterprise Agent Platform?

It is the evolution of Vertex AI, acting as an end-to-end mission control center to build, govern, and optimize AI agents on Google Cloud, including both low-code and code-based tools.

How much does Gemini Enterprise cost in Brazil?

The Business edition starts at US$ 21 per user per month. Prices in Brazilian Reais (BRL) require an explicit quote from Google Cloud sales or partners, as there is no official regionalized table published.

How do AWS and Microsoft charge for their competing agents?

AWS charges for granular CPU/memory consumption in Bedrock AgentCore, while Microsoft bills for complexity credits (Copilot Credits) in Azure Copilot Studio.

How much does Gemini Enterprise cost in Brazil?

The Business edition starts at US$ 21 per user per month. Prices in Brazilian Reais (BRL) require an explicit quote from Google Cloud sales or partners, as there is no official regionalized table published.

How do AWS and Microsoft charge for their competing agents?

AWS charges for granular CPU/memory consumption in Bedrock AgentCore, while Microsoft bills for complexity credits (Copilot Credits) in Azure Copilot Studio.

How much does Gemini Enterprise cost in Brazil?

The Business edition starts at US$ 21 per user per month. Prices in Brazilian Reais (BRL) require an explicit quote from Google Cloud sales or partners, as there is no official regionalized table published.

How do AWS and Microsoft charge for their competing agents?

AWS charges for granular CPU/memory consumption in Bedrock AgentCore, while Microsoft bills for complexity credits (Copilot Credits) in Azure Copilot Studio.

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