Google Rebrands Vertex AI as Gemini Enterprise Agent Platform
Key Takeaways
- ▸Vertex AI officially rebranded as Gemini Enterprise Agent Platform to emphasize agent-building and orchestration capabilities
- ▸Platform provides access to 200+ AI models, including Google's Gemini 3.5, Anthropic's Claude family, and open-source Gemma in a unified environment
- ▸New Google Antigravity orchestration tool enables teams to deploy and coordinate multiple agents for complex enterprise workflows
Summary
Google Cloud has rebranded its Vertex AI platform to Gemini Enterprise Agent Platform, reflecting an expanded focus on enterprise-grade AI agent development and deployment. The unified platform enables developers to build, scale, govern, and optimize agents that can automate complex enterprise workflows. With access to 200+ models including Gemini 3.5, Anthropic's Claude, and open-source Gemma, the platform provides comprehensive infrastructure for agentic systems grounded in enterprise data.
A key addition is Google Antigravity, a centralized application that allows teams to orchestrate multiple agents simultaneously to execute entire workflows—such as automating code generation for websites, creating on-brand assets, and producing customer communications. The platform integrates seamlessly with BigQuery and Google Cloud's ML ecosystem, including native support for Colab Enterprise and Workbench notebooks.
Google is offering new customers up to $300 in free credits to try Agent Platform and other Google Cloud products. The platform combines model evaluation, tuning, and deployment tools with purpose-built MLOps capabilities, enabling data scientists and ML engineers to automate and standardize ML project management across the entire development lifecycle.
- Native BigQuery integration and comprehensive MLOps tools streamline the full ML development lifecycle
- New customers receive up to $300 in free credits to explore the platform
Editorial Opinion
Google's rebrand signals a strategic shift toward enterprise agent orchestration as a core capability rather than a side feature of AI infrastructure. By prominently featuring agent-building and introducing Antigravity's workflow automation, Google is positioning itself to compete directly in the rapidly growing agentic AI market. The platform's openness—supporting Claude, Gemma, and other third-party models alongside Gemini—suggests Google recognizes that enterprise customers want choice, not lock-in, even if it means promoting competitor models. This is smart long-term strategy: win the infrastructure play by being the best platform to build and deploy agents, regardless of which models power them.
