Google Enhances Android Studio with Enterprise-Grade Gemini AI Tools

Google launches Gemini in Android Studio for Businesses, making it easier for devs to design work apps

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Though Apple remains the dominant smartphone maker in the U.S., Google's Android mobile operating system is a hit with enterprises and businesses thanks to its flexibility and lower price point -- with one recent survey by strategic advisory Stratix finding 60 percent of corporate-owned devices running the tech. Now, Google wants to use its Gemini AI model family to help enterprise app developers make even more workplace apps more easily in the Android ecosystem. That's why today at its Google Cloud Next 2025 conference in Las Vegas, the company announced Gemini in Android Studio for businesses, a new subscription-based offering. The rollout aims to address the growing demand for privacy-conscious, secure, and customizable AI integration within large organizations and development teams. This business version of Gemini builds on the core AI capabilities already familiar to Android developers but introduces enhanced features for organizations managing sensitive codebases and workflows. With this move, Google brings AI-assisted coding into enterprise-grade environments without compromising on data governance or intellectual property protection. Focused on data privacy and control One of the key pillars of the business offering is its emphasis on security. Google has implemented a strict data governance policy ensuring that company code, developer inputs, and AI-generated suggestions remain confidential. These assets are not used to train shared models or support unrelated product development. Organizations maintain full ownership and control of their intellectual property. To support secure deployment at scale, the offering includes enterprise-grade management capabilities such as Private Google Access, VPC Service Controls, and granular IAM (Identity and Access Management) permissions through Enterprise Access Controls. These tools allow companies to tightly manage access and usage across their development teams. Legal protection through IP indemnification Google has extended its generative AI indemnification policy to the Gemini Code Assist Enterprise product, offering legal safeguards to companies against third-party claims of copyright infringement related to AI-generated code. This same policy is already in place for Google Cloud customers using generative AI APIs. The inclusion of indemnification is aimed at giving enterprise developers the confidence to fully utilize AI in their workflows without added legal concerns. Tailored coding support The enterprise edition of Gemini includes capabilities for codebase integration, allowing AI assistance to be customized using a company's internal repositories hosted on GitHub, GitLab, or Bitbucket. This feature applies to both cloud and on-premise installations. By aligning with the organization's actual codebase, Gemini can generate more accurate and context-relevant code completions, suggestions, and chat responses. The benefit of this customization is tangible. According to internal research by Turing, enabling code customization with Gemini Code Assist Enterprise results in a nearly 70% improvement in code acceptance rates compared to using the base model alone. Built for the Android ecosystem Gemini in Android Studio remains tightly aligned with the Android development lifecycle. Developers gain access to tools like: These features continue to provide value in both the individual and business offerings, but enterprise subscribers benefit from more robust privacy and security assurances. Availability and Access To begin using Gemini in Android Studio for businesses, organizations need to purchase a Gemini Code Assist Standard or Enterprise license through the Google Cloud Console. A Google Cloud administrator can then assign these licenses to developers within the organization. The enterprise features are supported in Android Studio Narwhal, currently available via the canary release channel. This ensures that companies can experiment with the latest AI tools in a sandboxed environment while preparing for broader rollout. Supporting standards and compliance Gemini's enterprise offering supports multiple industry-recognized certifications, including: * ISO/IEC 27018 for Protection of Personal Identifiable Information * ISO/IEC 27701 for Privacy Information Management These certifications further position the solution as suitable for businesses with stringent compliance and regulatory requirements. Continued support for indie devs While this enterprise version adds a subscription tier, Google continues to provide a free version of Gemini in Android Studio for individual users. This ensures that developers outside of corporate environments still benefit from AI-powered coding assistance. Organizations ready to adopt Gemini in Android Studio for business can start by acquiring a Code Assist Enterprise license, which starts at $54 per user per month (cancel any month), or $45 when signing up for a 12-month contract. More details, including contact options for personalized consultations, are available through Google Cloud sales channels. As Google integrates AI more deeply into Android development, this enterprise-focused solution represents a key step in balancing innovation with control -- giving businesses tools to develop Android apps faster while maintaining the integrity of their intellectual property and data.

Google upgrades Android Studio with enterprise-grade Gemini AI tools - SiliconANGLE

In May, Google introduced the AI upgrade for Android Studio, its mobile software development tool. This update integrated Google's flagship Gemini AI model into the platform, enabling developers to chat with the AI, gain insights about Android software development, get inline code completion and receive code suggestions. The Gemini in Android Studio for business updates aims to bring additional considerations for enterprise users to the AI tools including enterprise data governance, AI intellectual property safeguards and tailored code customization for organizational codebases. "We've heard that some people at businesses have additional needs that require more sensitive data protection, and this offering delivers the same Gemini in Android Studio that you've grown accustomed to, now with the additional privacy enhancements that your organization might require," said Sandhya Mohan, product manager for Android at Google. To build on Android Studio Gemini AI tooling capabilities for business user security needs, Google said it is providing customer control over code, inputs and recommendations so that it will not be used to train or develop any models. Customers will retain control of their data and enjoy enhanced security that may be required by highly regulated industries such as healthcare and finance. Organizations will also benefit from generative AI IP Indemnification designed to protect their organizations from copyright infringement claims related to AI-generated code. "This added layer of protection is the same indemnification policy we provide to Google Cloud customers using our generative AI APIs, and allows their developers to leverage the power of AI with greater confidence and reduced risk," said Mohan. As long as customers follow responsible AI practices, Google will cover claims, like copyright infringement, made against an organization, regardless of whether they stem from generated output or Google's use of training data to create AI models. Developers will only need to connect their organization's codebase to Gemini in Android Studio to a repository such as GitHub, GitLab or BitBucket - or an on-premises installation - to benefit from tailored assistance. Once that is done the code assistant will customize its responses, code completion suggestions, generation and chat responses to the company's business logic and best practices.