A broad multimodal assistant for research, creation, analysis, and agentic work.
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Conversational assistant with integrated exploration, creative generation, and rapid app building modes.
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All-in-one browser assistant and sidebar powered by leading AI models
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AI document assistant that summarizes files and answers queries with direct source citations
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AI writing, search, and task assistance inside a connected workspace and knowledge base.
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AI workspace and agentic system powered by K3 for coding and knowledge work
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Google's multimodal assistant with deep hooks into Search, Workspace, and Android.
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Microsoft's assistant across Windows, Edge, and Microsoft 365 apps for work and personal use.
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Open-source AI chat app with multi-model routing and direct model switching
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A thoughtful AI collaborator for writing, analysis, coding, and long-form work.
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Enterprise search and an AI assistant that answer questions across a company's apps with permissions intact.
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An AI-native web browser from Perplexity designed to navigate, synthesize, and delegate everyday tasks.
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A European AI assistant from Mistral with fast responses, open-weight roots, and enterprise deployment options.
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Chat with documents, auto-fill PDF forms, and embed document-trained website agents
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AI productivity assistant embedded across Microsoft 365 apps and work data
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Generative AI assistant and research partner integrated directly into Google Workspace apps
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Self-hosted, extensible AI interface for local and cloud models
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A conversational personal AI companion designed to talk things through and keep your day on track.
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AI teammate and note taker integrated directly across the Zoom Workplace collaboration platform.
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Prototyping environment and developer API platform for Google's Gemini models
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An answer engine built around current web research and visible citations.
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Conversational AI for reading, querying, and citing PDF documents and research files.
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Web and mobile conversational AI assistant powered by Alibaba's Qwen models.
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The open platform and library ecosystem for hosting, discovering, and deploying machine learning models, datasets, and apps.
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