Google releases Gemini Enterprise mobile apps to bring AI to all your key work tasks
- Gemini Enterprise is a “new gateway” to agentic AI for non-technical workers
- Users can interact with the tools through the new Gemini Enterprise mobile app
- At the moment the service is invitation only, but we expect a wider rollout soon.
Google has launched a Gemini Enterprise application dedicated specifically to professional users, meeting more of an agent objective than the classic Gemini application intended for consumers.
Marketed as a completely separate app from the regular Google and Gemini apps, the new Gemini Enterprise app effectively replaces the outgoing Google Agentspace app for a more unified feel.
Gemini Enterprise launched in October 2025, and Google Cloud CEO Thomas Kurian describes it as “the new gateway to AI in the workplace.”
Gemini Enterprise now has its own mobile app
Behind that door, Kurian writes, lie six key principles: the latest Gemini models; a no-code workshop to help non-technical employees access AI agents; predefined AI agents for faster deployment; enterprise-grade data connectivity between productivity apps like Google Workspace, Microsoft 365, Salesforce and more; a centralized governance framework; and an open partner ecosystem for third-party integrations through A2A and MCP.
As an enterprise-focused platform, Google has emphasized that enterprise data, prompts, and responses are not used to train Gemini models.
The initial version of the app launched two days ago on the App Store, but even though it’s there to download, the notes confirm that it’s “invitation only.” Users must log in using a specific link shared by their company administrator.
“Open the link sent by your company administrator to log in,” a message says when opening the app.
Google hasn’t yet shared the intricacies of the app’s launch, as it usually would with new features, so a blog post could be imminent.
The new app comes about a week after the launch of Gemini 3.1 Pro, which sees improvements to its reasoning capabilities and outperforms GPT-5.2 Thinking on several benchmarks.
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