Google has unveiled Gemini Enterprise, a new AI-powered platform designed to serve as the central access point for Google’s suite of artificial intelligence tools across the workplace. Announced by CEO Sundar Pichai alongside Google Cloud chief Thomas Kurian at the company’s Gemini at Work event, the platform aims to bring AI directly into business workflows—integrating data, documents, and applications into a single conversational interface.
Described as “the new front door for AI in the workplace,” Gemini Enterprise goes beyond simple chatbots to offer a unified platform where employees can interact with company information and deploy AI agents tailored to specific business needs. The system, built on Google’s latest Gemini 2.5 Pro models, supports both text and visual inputs and can connect securely to enterprise data systems. It also provides pre-built agents for common workflows and the ability to build custom agents grounded in an organization’s proprietary data.
Google says early adopters are already using Gemini Enterprise in diverse applications. HCA Healthcare, for instance, is piloting a nurse handoff solution that generates structured reports during shift changes, potentially saving millions of staff hours annually. Best Buy has used Gemini tools to improve its customer service operations, enabling more customers to reschedule deliveries independently and resolve more support inquiries.
The new platform reflects Google’s broader “full-stack” approach to AI — spanning hardware, research, foundation models, and products. The infrastructure behind Gemini Enterprise draws on Google’s advanced data centers, Tensor Processing Units (TPUs), and partnerships with Nvidia for GPUs. Its latest TPU generation, codenamed Ironwood, promises tenfold performance gains over the previous version and will soon be generally available.
Pichai also highlighted the company’s research pedigree, citing ongoing breakthroughs from Google Research and DeepMind. These include quantum computing advancements and Nobel-recognized achievements such as AlphaFold, which revolutionized protein structure prediction, and the newer AlphaGenome and Gemini robotics projects.
At the model level, Google says Gemini 2.5 Pro continues to lead industry benchmarks across text and vision tasks. The company’s wider generative AI portfolio now includes Veo for video generation, Imagen for high-fidelity image creation, and Nano Banana, a lightweight model for mobile image editing. More than 13 million developers have built with Google’s generative tools to date.
Gemini Enterprise consolidates these technologies into a secure, enterprise-ready environment. Within Google itself, nearly half of all new code is now AI-generated and reviewed by engineers, illustrating how AI is becoming a standard part of daily workflows.
With Google Cloud surpassing a $50 billion annual revenue run rate and AI driving much of that growth, Gemini Enterprise represents the next phase of the company’s ambition to make generative AI foundational to work. Positioned as a complete enterprise solution rather than a single application, it signals Google’s intent to define the workplace AI ecosystem — one that’s conversational, integrated, and built for scale.
