Find and compare the best Artificial Intelligence software for Azure AI Foundry in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for Azure AI Foundry on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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DeepSeek R1
DeepSeek
Free 1 RatingDeepSeek-R1 is a cutting-edge open-source reasoning model crafted by DeepSeek, designed to compete with leading models like OpenAI's o1. Available through web platforms, applications, and APIs, it excels in tackling complex challenges such as mathematics and programming. With outstanding performance on benchmarks like the AIME and MATH, DeepSeek-R1 leverages a mixture of experts (MoE) architecture, utilizing 671 billion total parameters while activating 37 billion parameters per token for exceptional efficiency and accuracy. This model exemplifies DeepSeek’s dedication to driving advancements in artificial general intelligence (AGI) through innovative and open source solutions. -
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Microsoft Copilot
Microsoft
Free 1 RatingMeet your everyday AI partner for work and home. Copilot is an AI companion that helps you be more productive and creative, stay connected with the people and things around you, and work smarter. Copilot gives you smarter ways to become more productive, creative and connected with the people and things you care about. Find exactly what you are looking for. Answer your questions with relevant information. You can shop online with confidence, knowing that you are getting the best deal. Find answers to your questions and inspiration for your projects. Also, find solutions to your to-do lists. Transform your ideas effortlessly. It's easy and fun to create beautiful images and polished drafts. Copilot is a great tool for exploring new possibilities, whether you are browsing the web, looking for answers, or exploring your creative potential. -
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Microsoft Copilot Studio
Microsoft
$200 per monthMicrosoft Copilot Studio is a powerful and flexible platform designed to help users create, customize, and manage AI-driven agents tailored to meet diverse business needs. Combining the simplicity of low-code development with the advanced capabilities of generative AI, the platform enables users to design intelligent agents that can access and utilize internal knowledge bases, perform complex actions through a wide range of data connectors, and operate autonomously to streamline processes and improve productivity. These AI agents can be seamlessly integrated into existing workflows and deployed across various channels, including Microsoft 365 applications, internal websites, and mobile apps, ensuring they adapt to the unique operational environments of any organization. Furthermore, Copilot Studio includes a robust suite of governance and management tools, allowing IT teams to maintain centralized control over agent usage, monitor performance with detailed analytics, and enforce security policies. This combination of ease of use, advanced functionality, and comprehensive governance makes Microsoft Copilot Studio an invaluable tool for organizations looking to leverage AI to transform their business operations. -
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Azure AI Agent Service
Microsoft
Azure AI Agent Service provides a rich set of managed capabilities with a wide range of features. It brings together models, data, services, tools and other resources that enterprises require to automate any business process. Azure AI Agents Service combines the latest models, tools, and technology from Microsoft, OpenAI, and industry-leading companies such as Meta Mistral, Cohere, and Mistral. It also extends your agents' knowledge with Bing, SharePoint and Fabric, Azure AI Search and Azure Blob, and enables taking actions across Microsoft applications and Third-Party apps with Azure Functions, OpenAPI 3.1 specified tools, and Code Interpreter. It also offers an intuitive agent-building experience through Azure AI Foundry, as well -
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Microsoft Intelligent Data Platform
Microsoft
The Microsoft Intelligent Data Platform (MDP) is an integrated data-AI platform that helps organizations to adapt quickly, add intelligence to their applications, and generate predictions insights. It unifies databases and analytics, allowing businesses to spend more time creating value than managing their data estate. The platform provides real-time data intelligence and seamless integration of data, enabling powerful decision-making. It allows organizations to gain real-time insights by breaking down data silos. Platform capabilities include accelerating innovations, improving productivity with automation and AI and enhancing agility through anticipating changes and better decision-making. It also provides comprehensive data security throughout the lifecycle of data, protecting hybrid and multicloud environments. -
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Microsoft Azure Responsible AI
Microsoft
Scale the next generation of AI applications with confidence. Scale AI with confidence across your organization using industry-leading technologies that manage risk, improve accuracy and privacy, reinforce transparency and simplify compliance. Use templates and tools that integrate responsible AI into open source, machine-learning operations, and generative AI workflows to empower cross-functional teams in building the next generation of AI apps. With Azure security and tooling for responsible AI, you can detect and mitigate harmful usage. Monitor text and images for offensive or inappropriate content. Rapid machine-learning models can be deployed and seamless collaboration is enabled with prompt flow. This accelerates time to value. Create generative AI applications, and copilots on one platform. -
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Azure AI Content Understanding
Microsoft
Azure AI Content Understanding transforms unstructured, multimodal data into valuable insights. From text, audio, video, and images, you can derive meaningful insights. AI-based methods, such as scheme extraction or grounding, can be used to produce high-quality and precise data for downstream applications. Streamline and unify data pipelines from different data types to create a single workflow, reducing costs and speeding up time to value. Learn how businesses and call centers can use call recordings to generate valuable insights to track KPIs and enhance product experiences and respond to customer queries more quickly and accurately. Azure AI offers a variety of AI models that can transform data from a variety of input modalities such as images, audio or video into a structured output which can be processed and analyzed easily by downstream applications. -
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Phi-4
Microsoft
Phi-4 is the latest small language model (SLM), with 14B parameters. It excels in complex reasoning, including math, as well as conventional language processing. Phi-4, the latest member of the Phi family of SLMs, demonstrates what is possible as we continue exploring the boundaries of SLMs. Phi-4 will be available in Hugging Face and Azure AI Foundry, under a Microsoft Research License Agreement. Phi-4 is superior to comparable and larger models in math-related reasoning thanks to improvements throughout the process, including the use high-quality synthetic data, curation of organic data of high quality, and innovations post-training. Phi-4 continues pushing the boundaries of size vs. quality. -
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Muse
Microsoft
Microsoft has revealed Muse, an innovative generative AI model that is designed to revolutionize the ideation process for games. Muse, developed in collaboration with Ninja Theory and based on data from Bleeding edge, is a World and Human Action Model. This AI model has a thorough understanding of 3D environments, including physics, player interactions, and can generate diverse and consistent gameplay sequences. Muse can create game visuals and predict controller action, allowing game developers to explore and prototype quickly. Muse, by analyzing more than 1 billion images and actions to recreate classic titles on modern platforms, has the potential to help in game preservation. Muse is still in its early stages and outputs are currently 300x180 pixels. However, it represents a significant advance in integrating AI in the game development process.
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