Find and compare the best Artificial Intelligence software for Azure AI Services in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for Azure AI Services on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Vivantio has been recognized as one of the best customer service management software platforms on the market. We provide a SaaS service management product that serves multiple customer service areas including customer support ticketing, help desk, service desk, IT service management, asset management, and enterprise service management, all backed by proven industry frameworks, such as ITIL. Vivantio provides flexible licensing options to meet the business requirements of the world's fastest growing organizations.
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Dataiku provides a powerful AI platform that helps organizations harness the potential of data science and machine learning by enabling teams to collaborate on AI-driven projects. With a flexible user interface that supports both no-code and code-based workflows, Dataiku allows users to streamline data preparation, build models using AutoML, and deploy solutions across diverse environments. The platform supports advanced capabilities like generative AI and AI governance, making it suitable for enterprises seeking scalable and secure AI solutions across various business functions.
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BuildShip is an easy-to-use visual backend builder. It lets you create APIs, AI workflows and cloud jobs. Connect to any database, tool or AI model to create complete logic flows. Use prebuilt logic nodes or let AI create them for you. BuildShip combines the power of low-code extensibility with the ease of nocode to give you a scalable and fast way to build your backend. BuildShip supports powerful use-cases such as: Collect payments and trigger Stripe RevenueCat, Lemon Squeezy, for subscription workflows. Trigger AI workflows to build AI apps' rearend. Create APIs for processing data and CRUD ops in database. Send form submission data into third party tools.
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Mendix
Mendix
Mendix, a Siemens company and global leader in enterprise low code, is fundamentally changing the way applications are delivered in a digital enterprise. The Mendix platform allows enterprises to 'Make with More' by increasing their development capabilities to overcome the software development bottleneck. 'Make it Smart' by creating apps with rich native experiences that can be intelligent, proactive and contextual. 'Make at Scale' is a way to modernize core systems and create large app portfolios. Mendix is designed to encourage intense collaboration between IT and business teams. It dramatically accelerates application development cycles while maintaining the highest quality, security, and governance. In short, it helps enterprises leap into their digital future. More than 4,000 top companies have adopted the Mendix platform, including Conoco Phillips and Business Development Bank of Canada. Post NL, Continental, Zurich Insurance and more. -
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Azure AI Translator
Microsoft
AI-based real-time translation of documents and texts. Powered by the latest innovations in machine-translation, you can translate text instantly or in bulk across more than 100 different languages. Support a variety of use cases such as translations for call centers, conversational agents in multiple languages, or in-app communications. Translate text accurately in more than 100 different languages. Create custom models that handle domain-specific terminologies. Microsoft products use the same technology to power billions of translations each day. Your data is yours. Your text input will not be logged. Use our AI Translator to simplify the process of integrating instant translation into your applications and solutions. All you need is a single REST-API call. You can accurately detect the language in your source text. You can also look up alternative translations using the bilingual dictionary or convert text between scripts. -
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Azure Text to Speech
Microsoft
Your apps will come to life with natural-sounding voices You can choose from over 110 voices and 45 languages to create apps and services that sound natural. You can differentiate your brand by using a custom voice and have access to voices with different emotional tones and speaking styles to suit your use case. All in your preferred programming language. Lifelike speech: Allow fluid, natural-sounding speech that is consistent with human voice patterns and intonation. Customizable voices: Your brand's voice should be unique. -
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Microsoft Bot Framework
Microsoft
$0.50 per 1,000 messagesAzure Cognitive Services allows you to create a bot that can speak, listen, comprehend, and learn from users. Open source SDKs and tools allow you to create, test and connect bots which interact with users in a natural way, wherever they may be. Build scalable, global and secure solutions that integrate seamlessly with your existing IT environment. Create an AI experience to extend your brand while keeping you in control of all your data. Bot Framework Composer, an open-source visual authoring tool for developers and multidisciplinary teams, allows them to create conversational experiences. Azure Bot Service allows you to create intelligent enterprise-grade bots while maintaining control and ownership of your data. Start with a simple Q&A Bot or create a sophisticated virtual Assistant. Connect your bot easily to popular channels and devices using open-source SDKs and tools. Azure Cognitive Services native integration allows your bot to understand, speak, and listen to your users. -
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Azure AI Custom Vision
Microsoft
$2 per 1,000 transactionsCreate a custom computer vision model in minutes. AI Custom Vision is part of Azure AI services and allows you to customize and embed the latest computer vision image analysis in specific domains. Create frictionless customer experiences. Optimize manufacturing processes. Accelerate digital marketing campaigns. No machine learning knowledge is required. Set your model to recognize a specific object for your application. Easy to build your image identifier using the simple interface. Upload and label a few images to start training your computer vision models. The model will test itself and improve its precision as you add more images. Use customizable, built-in retail, manufacturing, or food models to speed up development. Minsur, the world's largest mine of tin, uses AI Custom Vision to achieve sustainable mining. You can rely on enterprise-grade privacy and security for your data. -
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Azure AI Immersive Reader
Microsoft
$5 per 1M charactersAzure AI Immersive reader, an Azure Applied Service, allows you to embed text reading and comprehension into your applications. It builds on Azure AI Services in order to accelerate the implementation and deployment of an AI-powered reader solution that helps users with any age or reading ability. Features include reading aloud, translating language, and focusing their attention through highlighting, design elements, and other reader tools. Azure is the only major provider of this type text-reading technology. No machine learning knowledge is required. Improve your reading comprehension by using a set of proven literacy enhancement features. Multisensory, multilingual learning will engage your audience. This includes reading aloud in different languages, highlighting certain lines of text and visualizing the meaning of words through illustrations. AI Immersive Reader is as simple as a single API to boost literacy. -
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Azure CLU
Microsoft
$2 per monthConversational language understanding is an AI feature that allows you to build applications with conversational language. It understands natural language and can extract key information about the user's goals from phrases. Create multilingual, customizable intent classification and entity extraction models across 96 languages for your domain-specific keyword or phrase. Train in a natural language, and use it in multiple languages without retraining. Create intents and entities quickly and label your own utterances. Add prebuilt components of a variety of commonly used types. Evaluation with quantitative measurements such as precision and recall. The intuitive and user-friendly Language Studio has a simple dashboard for managing model deployments. Use seamlessly with Azure AI Language and Azure Bot Service to create a conversational solution. Conversational language understanding (CLU) is the next-generation of Language Understanding. -
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Azure Speech Translation
Microsoft
$0.36 per hourTranslate audio in more than 30 languages, and customize your translations to your organization's terms. All in your preferred programming langauge. Powered by neural machine translation, you can enjoy fast and reliable speech translation. With a single API request, you can generate speech-to speech and speech-to text translations. Speech Translation uses the context of complete sentences to provide accurate and fluent translations, improving communication between speakers of various languages. You can customize speech recognition and translation to meet the terminology of your business or industry. You can train and deploy a custom-made translation system without machine learning expertise. Speech Translation can remove fillers (such as "um," "uh," or coughs), repeating words, and add proper punctuation, capitalization, and omit profanities to produce more readable translations. With an engine that is trained to normalize the speech output, you can deliver readable translations. -
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Azure AI Document Intelligence
Microsoft
$1.50 per 1,000 pagesAI Document Intelligence uses advanced machine learning techniques to extract text, tables, structures, key-value pairs and other data from documents. Transform documents into useful data and focus on implementing information, rather than compiling. AI Document Intelligence Studio or SDK allows you to create custom models for your documents, both on-premises or in the cloud. AI Document Intelligence can automate text extraction to speed up your business processes. This webinar includes hands-on demonstrations for key use-cases such as document processing and knowledge mining. It also features industry-specific AI models that can be customized. You can accurately extract text, key-value pair, and tables from various documents, forms and receipts. AI Document Intelligence's prebuilt forms, layout APIs, and custom forms can be used to extract information. -
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Azure Speaker Recognition
Microsoft
A Speech service feature that verifies and identifies speakers. Facilitate frictionless, secure customer experiences Streamlining verification processes can improve customer experience. Voice verification allows for secure, frictionless customer interactions in a wide variety of solutions, including web applications and call centers. Passphrases and free-form voice input can be used to verify speakers. Streamlining verification processes can improve customer experience. Voice verification allows for secure, frictionless customer interactions in a wide variety of solutions, including web applications and call centers. Passphrases and free-form voice input can be used to verify speakers. Multiple speakers can unlock value: From a group of enrolled speaker, you can determine a speaker's identity. Speaker identification allows you to assign speech to individual speakers and support multiuser voice recognition to create personalized interactions. -
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QnA Maker
Microsoft
In minutes, you can transform data into a bot. You can build, train, and publish a sophisticated bot with FAQ pages, support websites or SharePoint documents. No coding knowledge or experience is required. You can publish a bot in groups or anywhere else without writing a single line code. Pre-built chit chat datasets can be used to give your bot personality. Extract question-answer pairs using semi-structured content such as FAQ pages, support websites and Excel files. SharePoint documents, product manuals, policies, and SharePoint documents all work well. You can easily create multi-turn conversations using QnA Maker portal, or REST APIs. Your bot's usage and feedback can help you improve your ranking model. QnA Maker service can be used as a hosted model. You can choose product tiers based on your size and throughput requirements and feel secure with all components within your Azure compliance boundaries. -
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Custom Neural Voice
Microsoft
Custom Neural Voice allows you to create a synthetic voice that sounds natural and is trained using human voice recordings. Your custom voice is adaptable to different languages and speaking styles. It's perfect for adding a unique voice to your text-to-speech solutions. -
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Phi-3
Microsoft
Small language models (SLMs), a powerful family of small language models, with low cost and low-latency performance. Maximize AI capabilities and lower resource usage, while ensuring cost-effective generative AI implementations across your applications. Accelerate response time in real-time interaction, autonomous systems, low latency apps, and other critical scenarios. Phi-3 can be run in the cloud, on the edge or on the device. This allows for greater flexibility in deployment and operation. Phi-3 models have been developed according to Microsoft AI principles, including accountability, transparency and fairness, reliability, safety and security, privacy, and inclusivity. Operate efficiently in offline environments, where data privacy or connectivity are limited. Expanded context window allows for more accurate, contextually relevant and coherent outputs. Deploy at edge to deliver faster response. -
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Mirascope
Mirascope
Mirascope is a powerful, flexible and user-friendly library that simplifies the process of working with LLMs through a unified interface. It works across various supported providers including OpenAI, Anthropic Mistral Gemini Groq Cohere LiteLLM Azure AI Vertex AI and Bedrock. Mirascope is a flexible, powerful and user-friendly LLM library that simplifies working with LLMs. It has a unified interface and works across multiple supported providers including OpenAI, Anthropic Mistral, Gemini Groq Cohere LiteLLM Azure AI Vertex AI and Bedrock. Mirascope is a powerful and flexible library that allows you to create robust, powerful applications. Mirascope's response models allow you to structure the output of LLMs and validate it. This feature is especially useful when you want to make sure that the LLM response follows a certain format or contains specific fields. -
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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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Pipeshift
Pipeshift
Pipeshift is an orchestration platform that allows for the deployment and scaling of open-source AI components. This includes embeddings and vector databases as well as large language models, audio models and vision models. The platform is cloud-agnostic and offers end-toend orchestration to ensure seamless integration and management. Pipeshift's enterprise-grade security is a solution for DevOps, MLOps, and MLOps teams looking to build production pipelines within their own organization, instead of using experimental API providers who may not have privacy concerns. The key features include an enterprise MLOps dashboard for managing AI workloads like fine-tuning and distillation; multi-cloud orchestration, with built-in autoscalers and load balancers; and Kubernetes Cluster Management.
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