
Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
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LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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xdge
xdge (previously known as Ayraa) is a comprehensive AI assistant platform that empowers professionals and growing companies to automate routine work and streamline collaboration across multiple apps. It performs deep research across Slack, Gmail, Notion, and Jira, consolidating relevant information into a single accessible hub without forcing users to switch between applications. By using natural language commands, users can delegate complex research tasks to AI agents who operate continuously, even outside working hours. The platform’s AI meeting assistant autonomously attends meetings, transcribes conversations, and delivers organized, shareable notes integrated with Slack, Zoom, Google Meet, and Microsoft Teams. xdge also helps teams capture and organize institutional knowledge into living playbooks that can be used by anyone in the organization. Its Slack bot acts as a co-pilot by providing instant answers, monitoring stalled discussions, and summarizing lengthy threads. The browser AI co-pilot enhances research productivity with real-time page summaries, quick answers, and page caching for follow-up. Built with enterprise-grade security certifications, xdge is trusted by thousands of teams globally.
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Limeline
You can ask anyone for information or to answer your questions at any time. Automate routine communications to increase attendance and save time. AI can accurately and efficiently qualify, route and conduct your meetings. Create AI agents that can speak to anyone in your place and collect the information you need or to answer questions. Branded call experiences to match your business's needs and implement native experience quickly. You can also get a summary of your meeting and a recording. You can then focus on the most important parts of the meeting without having to worry about taking notes.
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