"Google has launched Gemini Enterprise. It represents a consolidation of the company's AI efforts, from readymade agentic tooling for employees to discoverable extensions in the Google Cloud Marketplace. Together, Gemini Enterprise is set to be the "front door for AI in the workplace". Gemini Enterprise represents Google's attempt to move artificial intelligence beyond basic conversational interfaces. The platform combines six core components: advanced Gemini models, a no-code agent builder, pre-built AI agents, enterprise data integration, centralized governance, and an extensive partner ecosystem."
"The pricing structure starts at $21 per seat monthly for Gemini Business, targeting smaller organizations, while Enterprise Standard and Plus editions begin at $30 per seat monthly for larger organizations with stricter security requirements. Competitors like Microsoft and others are pursuing similar comprehensive AI strategies, making platform integration and vendor lock-in considerations crucial for enterprise decision-makers. Technical foundation The platform builds on Google's infrastructure advantage, supporting the open Agent2Agent (A2A) protocol for interoperability."
Gemini Enterprise consolidates Google's AI offerings into a unified workplace platform that combines advanced Gemini models, a no-code agent builder, pre-built AI agents, enterprise data integration, centralized governance, and a partner ecosystem. The platform supports over 40 languages and includes built-in security features such as Model Armor and strict data access controls. Organizations can orchestrate complex multi-agent workflows while maintaining governance. Pricing begins at $21 per seat per month for Gemini Business, with Enterprise Standard and Plus starting at $30 per seat per month for higher security needs. The platform supports the open Agent2Agent (A2A) protocol to enable interoperability between agents from different vendors. Competitors like Microsoft pursue similar comprehensive AI strategies, raising integration and vendor lock-in considerations.
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