Find and compare the best Artificial Intelligence software for Azure Marketplace in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Azure Marketplace on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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NVIDIA CloudXR
NVIDIA Omniverse
Businesses are increasingly adopting augmented reality (AR) and virtual reality (VR) technologies to enhance their design evaluations, support virtual production, and create immersive location-based entertainment experiences. A key player in this transformation is NVIDIA CloudXR™, an advanced solution that leverages NVIDIA RTX™ technology to provide VR and AR capabilities over 5G and Wi-Fi networks. This innovative platform ensures scalability across both data center and edge networks, thanks to the NVIDIA RTX Virtual Workstation software. Moreover, the CloudXR SDK includes an installer for server components along with open-source client applications, enabling seamless streaming of extended reality (XR) content from OpenVR applications to various Android and Windows devices. As enterprises continue to explore the possibilities of XR, the integration of such technologies is likely to reshape industries and redefine user experiences. -
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NVIDIA Riva Studio
NVIDIA
Utilize a browser equipped with in-app prompts alongside a recording tool to gather audio samples. You can access a curated collection of phonetically balanced sentences designed to help build a 30-minute dataset aimed at training a TTS model that captures the nuances of your distinct voice. Tailor the model's sound by selecting the pitch range that aligns best with your vocal characteristics, as a suggested typical voice pitch range setting is already included, along with a preconfigured optimal recipe for personalizing the TTS model to reflect your voice. To further enhance functionality, create an API that allows seamless integration of your customized TTS model into various applications. You’ll also have the option to download a deployable package that includes a helm chart, facilitating deployment on any cloud platform or an on-premises Kubernetes cluster. Following that, you can effortlessly host your voice microservice using NVIDIA or implement it with a simple line of code, ensuring smooth operation. Additionally, the Riva TTS model can be set up, customized, and deployed through user-friendly no-code, end-to-end graphical workflows, eliminating the need for intricate infrastructure configuration, and making the process accessible for everyone. This approach not only streamlines the deployment process but also empowers users to create high-quality TTS solutions with minimal technical barriers. -
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NVIDIA DGX Cloud
NVIDIA
The NVIDIA DGX Cloud provides an AI infrastructure as a service that simplifies the deployment of large-scale AI models and accelerates innovation. By offering a comprehensive suite of tools for machine learning, deep learning, and HPC, this platform enables organizations to run their AI workloads efficiently on the cloud. With seamless integration into major cloud services, it offers the scalability, performance, and flexibility necessary for tackling complex AI challenges, all while eliminating the need for managing on-premise hardware. -
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NVIDIA AI Enterprise
NVIDIA
NVIDIA AI Enterprise serves as the software backbone of the NVIDIA AI platform, enhancing the data science workflow and facilitating the development and implementation of various AI applications, including generative AI, computer vision, and speech recognition. Featuring over 50 frameworks, a range of pretrained models, and an array of development tools, NVIDIA AI Enterprise aims to propel businesses to the forefront of AI innovation while making the technology accessible to all enterprises. As artificial intelligence and machine learning have become essential components of nearly every organization's competitive strategy, the challenge of managing fragmented infrastructure between cloud services and on-premises data centers has emerged as a significant hurdle. Effective AI implementation necessitates that these environments be treated as a unified platform, rather than isolated computing units, which can lead to inefficiencies and missed opportunities. Consequently, organizations must prioritize strategies that promote integration and collaboration across their technological infrastructures to fully harness AI's potential. -
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FortiNDR
Fortinet
FortiNDR effectively detects ongoing cybersecurity threats by analyzing unusual network behavior, which accelerates the investigation and response processes to incidents. This solution offers comprehensive protection across the network lifecycle, combining detection and response capabilities. Utilizing AI, machine learning, behavioral analytics, and human insight, it scrutinizes network traffic to help security teams recognize malicious activities and take swift action against them. FortiNDR excels in providing in-depth analysis of network traffic and files, determining the root causes of incidents, and assessing their scope, all while equipping users with the necessary tools to address these threats promptly. One of its standout features is the Virtual Security Analyst, designed to pinpoint harmful network activities and files, allowing for the immediate identification of complex threats, such as zero-day vulnerabilities. Additionally, FortiNDR Cloud enhances security measures by merging machine learning and AI with human expertise to bolster overall security and minimize false alarms. The expertise of seasoned threat researchers at FortiGuard Labs plays a crucial role as they monitor the activities of cybercriminals, conduct reverse engineering, and continually refresh detection protocols to stay ahead of emerging threats. This ongoing effort ensures that organizations can react effectively and maintain robust defenses against various cyber risks. -
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NVIDIA Omniverse ACE
NVIDIA
The NVIDIA Omniverse™ Avatar Cloud Engine (ACE) comprises a comprehensive set of real-time AI tools designed for the seamless creation and deployment of interactive avatars and digital human applications on a large scale. Experience sophisticated avatar development without requiring specialized skills, advanced equipment, or labor-intensive processes. With the help of cloud-native AI microservices and innovative workflows like Tokkio, Omniverse ACE facilitates the rapid creation of lifelike avatars. Infuse life into your avatars using an array of robust software tools and APIs, such as Omniverse Audio2Face for effortless 3D character animation, Live Portrait for animating 2D images, and conversational AI solutions like NVIDIA Riva for interactions that mimic natural speech and translation, alongside NVIDIA NeMo for advanced natural language processing tasks. You can build, configure, and implement your avatar application on any engine, whether in a public or private cloud environment. No matter if your needs are for real-time processing or offline performance, Omniverse ACE empowers you to effectively develop and launch your avatar solutions. Additionally, this platform supports a range of applications, ensuring versatility and scalability to meet diverse project requirements. -
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Microsoft Security Copilot
Microsoft
Empower your security teams to uncover concealed patterns, strengthen defenses, and react to incidents more rapidly with the innovative preview of generative AI. In the midst of an attack, the intricacies can prove costly; therefore, it’s crucial to consolidate data from various sources into straightforward, actionable insights, allowing for incident responses within minutes rather than prolonged hours or days. Process alerts at machine speed, detect threats early on, and receive predictive recommendations to counteract an adversary's next move effectively. The gap between the demand for skilled security professionals and their availability is significant. Equip your team to maximize their effectiveness and enhance their skills through comprehensive, step-by-step guidance for risk mitigation. Interact with Microsoft Security Copilot using natural language queries and obtain practical answers that can be implemented immediately. Recognize an active attack, evaluate its magnitude, and receive remediation steps based on established tactics drawn from actual security scenarios. Furthermore, Microsoft Security Copilot seamlessly integrates insights and data from various security tools, providing tailored guidance specific to your organization’s needs, which enhances the overall security posture. -
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LangSmith
LangChain
Unexpected outcomes are a common occurrence in software development. With complete insight into the entire sequence of calls, developers can pinpoint the origins of errors and unexpected results in real time with remarkable accuracy. The discipline of software engineering heavily depends on unit testing to create efficient and production-ready software solutions. LangSmith offers similar capabilities tailored specifically for LLM applications. You can quickly generate test datasets, execute your applications on them, and analyze the results without leaving the LangSmith platform. This tool provides essential observability for mission-critical applications with minimal coding effort. LangSmith is crafted to empower developers in navigating the complexities and leveraging the potential of LLMs. We aim to do more than just create tools; we are dedicated to establishing reliable best practices for developers. You can confidently build and deploy LLM applications, backed by comprehensive application usage statistics. This includes gathering feedback, filtering traces, measuring costs and performance, curating datasets, comparing chain efficiencies, utilizing AI-assisted evaluations, and embracing industry-leading practices to enhance your development process. This holistic approach ensures that developers are well-equipped to handle the challenges of LLM integrations. -
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HiddenLayer
HiddenLayer
Your company's AI algorithms serve as a distinctive competitive edge, but they also represent a significant investment. If a successful adversarial attack were to occur, it could undermine that advantage without your awareness. HiddenLayer emerges as the pioneering solution tailored for this new security dimension—your AI. It provides a seamless software solution that ensures ongoing, real-time monitoring of your model's integrity and vulnerabilities, all without requiring access to its inner workings or the data used for training. Unlike most adversarial AI security firms, which rely on costly panels of experts to dissect and reinforce algorithms from within, HiddenLayer offers a more efficient approach. Established by professionals in machine learning and security, the company understands the subtlety and complexity of adversarial ML threats, making it easier for organizations to safeguard their AI assets. With HiddenLayer, businesses can focus on innovation while maintaining confidence in their AI's security. -
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VisionAI
VisionAI
In spite of the progress made in artificial intelligence, independent online businesses are finding it challenging to integrate new technological advancements. To address this issue, a group of former online merchants and academic researchers came together with a mission to facilitate the transition. With VisionAI, these retailers can easily access essential tools that empower them to compete with leading eCommerce giants and enhance their store experience. The Vision Search feature efficiently identifies synonyms and corrects spelling errors, adeptly handling complex word combinations and color recognition. In less than a tenth of a second, our AI interprets search queries, identifies relevant products, and enriches the results with advanced text-based information. Consequently, this technology fosters positive interactions with customers, creating a more enjoyable shopping environment. Ultimately, our goal is to bridge the gap between independent retailers and the cutting-edge tools that can help them thrive. -
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SentinelOne Purple AI
SentinelOne
Identify threats sooner, react swiftly, and maintain an edge against cyber attacks. This platform represents the pinnacle of AI security analysts, being the sole comprehensive solution that integrates a unified platform, console, and data repository. Enhance autonomous security measures throughout your organization using cutting-edge, patent-pending artificial intelligence technology. Simplify the investigative process by seamlessly merging widely-used tools and integrating threat intelligence with relevant insights into an intuitive conversational interface. Uncover latent vulnerabilities, delve deeper into investigations, and respond more quickly, all while utilizing natural language. Equip your analysts with the ability to convert natural language inquiries into powerful query translations. Propel your Security Operations with our quick start hunting initiatives, AI-driven analyses, automated summaries, and recommended queries. Facilitate collaborative investigations with easily shareable notebooks. Utilize a framework meticulously designed for the safeguarding of data and privacy. Importantly, Purple AI ensures that customer data remains untouched during training and is constructed with the utmost protective measures. This commitment to security and privacy builds trust and confidence in the system’s reliability. -
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Microsoft Intelligent Data Platform
Microsoft
The Microsoft Intelligent Data Platform serves as a cohesive data and AI solution that empowers organizations to quickly adapt, infuse intelligence into their applications, and derive predictive insights. By harmonizing databases, analytics, and governance, this platform allows businesses to focus more on creating value instead of managing their data infrastructure. It ensures smooth data integration and offers real-time business intelligence, which supports effective decision-making and drives innovation. By dismantling data silos, organizations can gain immediate insights while maintaining the essential data governance needed for secure operations. Additionally, the platform enhances innovation, boosts productivity through automation and AI, and increases agility by forecasting changes and refining decision-making processes. Security is also a top priority, as the platform provides robust protection throughout the data lifecycle, safeguarding both hybrid and multi-cloud environments. Ultimately, this comprehensive approach not only streamlines data management but also cultivates a more informed and responsive organizational culture. -
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IBM Turbonomic
IBM
Reduce your infrastructure expenses by a third, cut data center upgrades by 75%, and reclaim 30% of your engineering time through enhanced resource management strategies. As applications become increasingly intricate, they can overwhelm your teams as they struggle to meet ever-changing demands. Often, when application performance falters, teams find themselves responding too late, addressing issues at a human pace. To prevent service interruptions, businesses may resort to overprovisioning resources, which can lead to expensive miscalculations that fail to yield the desired results. The IBM® Turbonomic® Application Resource Management (ARM) platform helps eliminate this uncertainty, leading to significant savings in both time and finances. By automating essential actions in real-time without the need for human oversight, it ensures the optimal utilization of compute, storage, and network resources for your applications across all layers of the technology stack. Ultimately, this proactive approach allows teams to focus on innovation rather than maintenance. -
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Sitecore
Sitecore
Take control of your entire content lifecycle with Sitecore Content Hub, which offers a comprehensive solution for managing every facet of your marketing content across various channels. This integrated platform provides a centralized location for all your digital assets, media, product information, and other content types. Maximize the power of personalization while effectively managing the content that drives it. Utilize advanced artificial intelligence (AI) and machine learning for efficient content tagging and classification. The system works seamlessly with Sitecore's CMS and commerce solutions, ensuring a smooth user experience. You can plan, schedule, and streamline your content production process through a well-structured methodology. Say goodbye to the hassle of searching through numerous systems to locate the materials you need. Instead, consolidate all your marketing resources within a digital asset management (DAM) solution that perfectly integrates with your CMS. While a robust content management system (CMS) is essential, Sitecore® Experience Platform™ (XP) elevates your capabilities further by incorporating customer data, analytics, and marketing automation tools. This allows you to guide customers along their journey with tailored content that meets their unique needs and preferences, enhancing their overall experience. With these powerful tools at your disposal, your marketing efforts will become more efficient and impactful than ever before. -
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ArangoDB
ArangoDB
Store data in its native format for graph, document, and search purposes. Leverage a comprehensive query language that allows for rich access to this data. Map the data directly to the database and interact with it through optimal methods tailored for specific tasks, such as traversals, joins, searches, rankings, geospatial queries, and aggregations. Experience the benefits of polyglot persistence without incurring additional costs. Design, scale, and modify your architectures with ease to accommodate evolving requirements, all while minimizing effort. Merge the adaptability of JSON with advanced semantic search and graph technologies, enabling the extraction of features even from extensive datasets, thereby enhancing data analysis capabilities. This combination opens up new possibilities for handling complex data scenarios efficiently. -
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OpenText Unstructured Data Analytics
OpenText
OpenText™, Unstructured Data Analytics Products use AI and machine learning in order to help organizations discover and leverage key insights that are hidden deep within unstructured data such as text, audio, videos, and images. Organizations can connect their data at scale to understand the context and content locked in high-growth, unstructured content. Unified text, speech and video analytics support over 1,500 data formats to help you uncover insights within all types media. Use OCR, natural language processing and other AI models to track and understand the meaning of unstructured data. Use the latest innovations in deep neural networks and machine learning to understand spoken and written language in data. This will reveal greater insights. -
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CompreFace
Exadel
CompreFace is an open-source facial recognition tool that is freely available and can be seamlessly incorporated into any system, requiring no prior expertise in machine learning. It is provided as a docker-compose configuration and accommodates various models that function on both CPU and GPU. Utilizing advanced techniques and frameworks such as FaceNet and InsightFace, this solution streamlines the detection of unauthorized access to sensitive locations and enhances office security. Moreover, it serves dual purposes by facilitating data collection for marketing strategies and enabling real-time ad targeting. Additionally, it aids in monitoring employees and students to ensure they are present in designated areas. CompreFace can identify customers as they enter, which allows businesses to enhance their customer service experience significantly. This technology also expedites the check-in process at hotels, conferences, and airports. Designed to be efficient, adaptable, and user-friendly, CompreFace stands out in the realm of facial recognition services, making it a valuable asset for various applications. Furthermore, its simplicity allows organizations of all sizes to leverage this technology effectively. -
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Harvey AI
Harvey.ai
Harvey is a specialized AI platform built for legal and professional services teams looking to streamline complex workflows and improve operational efficiency. It supports a wide range of legal tasks, including contract analysis, due diligence, legal research, and deal management, all within a unified system. The platform leverages advanced artificial intelligence to automate time-consuming processes, allowing professionals to focus on more strategic and high-impact work. Harvey also assists with document management and workflow orchestration, helping teams stay organized and productive. Its secure infrastructure includes enterprise-grade features such as compliance controls, audit logs, and data protection measures. The platform is trusted by leading law firms and corporations to enhance accuracy and speed across legal operations. By integrating AI into everyday workflows, Harvey reduces manual workload and improves consistency in outcomes. It also enables better collaboration among team members working on complex cases. With its scalable design, Harvey can support organizations of different sizes and needs. The platform ultimately transforms how legal teams operate by combining expertise with intelligent automation. It helps professionals adapt to increasing complexity in the legal landscape while maintaining high standards of quality and security. -
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Command R
Cohere AI
The outputs generated by Command’s model are accompanied by precise citations that help reduce the chances of misinformation while providing additional context drawn from the original sources. Command is capable of creating product descriptions, assisting in email composition, proposing sample press releases, and much more. You can engage Command with multiple inquiries about a document to categorize it, retrieve specific information, or address general questions pertaining to the content. While answering a handful of questions about a single document can save valuable time, applying this process to thousands of documents can lead to significant time savings for a business. This suite of scalable models achieves a remarkable balance between high efficiency and robust accuracy, empowering organizations to transition from experimental stages to fully operational AI solutions. By leveraging these capabilities, companies can enhance their productivity and streamline their workflows effectively. -
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Apache Airflow
The Apache Software Foundation
Airflow is a community-driven platform designed for the programmatic creation, scheduling, and monitoring of workflows. With its modular architecture, Airflow employs a message queue to manage an unlimited number of workers, making it highly scalable. The system is capable of handling complex operations through its ability to define pipelines using Python, facilitating dynamic pipeline generation. This flexibility enables developers to write code that can create pipelines on the fly. Users can easily create custom operators and expand existing libraries, tailoring the abstraction level to meet their specific needs. The pipelines in Airflow are both concise and clear, with built-in parametrization supported by the robust Jinja templating engine. Eliminate the need for complex command-line operations or obscure XML configurations! Instead, leverage standard Python functionalities to construct workflows, incorporating date-time formats for scheduling and utilizing loops for the dynamic generation of tasks. This approach ensures that you retain complete freedom and adaptability when designing your workflows, allowing you to efficiently respond to changing requirements. Additionally, Airflow's user-friendly interface empowers teams to collaboratively refine and optimize their workflow processes. -
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Llama
Meta
Llama (Large Language Model Meta AI) stands as a cutting-edge foundational large language model aimed at helping researchers push the boundaries of their work within this area of artificial intelligence. By providing smaller yet highly effective models like Llama, the research community can benefit even if they lack extensive infrastructure, thus promoting greater accessibility in this dynamic and rapidly evolving domain. Creating smaller foundational models such as Llama is advantageous in the landscape of large language models, as it demands significantly reduced computational power and resources, facilitating the testing of innovative methods, confirming existing research, and investigating new applications. These foundational models leverage extensive unlabeled datasets, making them exceptionally suitable for fine-tuning across a range of tasks. We are offering Llama in multiple sizes (7B, 13B, 33B, and 65B parameters), accompanied by a detailed Llama model card that outlines our development process while adhering to our commitment to Responsible AI principles. By making these resources available, we aim to empower a broader segment of the research community to engage with and contribute to advancements in AI. -
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ScienceLogic
ScienceLogic
Identify every element within your organization—both standard and distinctive—spanning physical, virtual, and cloud environments. Aggregate and maintain a diverse range of information within a well-organized and standardized data lake. Gain insights into the connections between your infrastructure, applications, and business services. Leverage this understanding to extract actionable intelligence. Seamlessly integrate and disseminate data across various technologies and your entire IT ecosystem in real-time. Implement multi-directional integrations to facilitate both reactive and proactive measures at a cloud scale. Monitor everything within multi-cloud and distributed frameworks, contextualizing data through relationship mapping, and utilize this knowledge for integration and automation. Regardless of your current stage in the journey toward AIOps, SL1 equips you with the tools necessary to enhance service visibility progressively and automate your IT workflows, ultimately highlighting the impact on business outcomes. With these capabilities, organizations can adapt more swiftly to changing demands and drive operational excellence.