List of Azure Percept Integrations

This is a list of platforms and tools that integrate with Azure Percept. This list is updated as of April 2025.

  • 1
    Leader badge
    Microsoft Azure Reviews & Ratings

    Microsoft Azure

    Microsoft

    Empower your ideas with agile, secure cloud solutions.
    Microsoft Azure is a dynamic cloud computing platform designed to streamline the development, testing, and management of applications with speed and security. By leveraging Azure, you can creatively turn your ideas into effective solutions, taking advantage of more than 100 services that support building, deploying, and managing applications across various environments such as the cloud, on-premises, or at the edge, all while using your preferred tools and frameworks. The ongoing innovations from Microsoft ensure that your current development requirements are met while also setting the stage for your future product goals. With a strong commitment to open-source values and support for all programming languages and frameworks, Azure grants you the flexibility to create and deploy in a manner that best fits your needs. Whether your infrastructure is on-premises, cloud-based, or edge-focused, Azure is equipped to evolve alongside your existing setup. It also provides specialized services for hybrid cloud frameworks, allowing for smooth integration and effective management. Security is a key pillar of Azure, underpinned by a skilled team and proactive compliance strategies that are trusted by a wide range of organizations, including enterprises, governments, and startups. With Azure, you gain a dependable cloud solution, supported by outstanding performance metrics that confirm its reliability. Furthermore, this platform not only addresses your immediate requirements but also prepares you for the future's dynamic challenges while fostering a culture of innovation and growth.
  • 2
    Azure AI Services Reviews & Ratings

    Azure AI Services

    Microsoft

    Elevate your AI solutions with innovation, security, and responsibility.
    Design cutting-edge, commercially viable AI solutions by utilizing a mix of both pre-built and customizable APIs and models. Achieve seamless integration of generative AI within your production environments through specialized studios, SDKs, and APIs that allow for swift deployment. Strengthen your competitive edge by creating AI applications that build upon foundational models from prominent industry players like OpenAI, Meta, and Microsoft. Actively detect and mitigate potentially harmful applications by employing integrated responsible AI practices, strong Azure security measures, and specialized responsible AI resources. Innovate your own copilot tools and generative AI applications by harnessing advanced language and vision models that cater to your specific requirements. Effortlessly access relevant information through keyword, vector, and hybrid search techniques that enhance user experience. Vigilantly monitor text and imagery to effectively pinpoint any offensive or inappropriate content. Additionally, enable real-time document and text translation in over 100 languages, promoting effective global communication. This all-encompassing strategy guarantees that your AI solutions excel in both capability and responsibility while ensuring robust security measures are in place. By prioritizing these elements, you can cultivate trust with users and stakeholders alike.
  • 3
    Azure IoT Central Reviews & Ratings

    Azure IoT Central

    Microsoft

    Empower your IoT journey with security, scalability, and innovation.
    Azure IoT Central provides a comprehensive security infrastructure, effortlessly adapts as your business grows, ensures that your investments are easily replicated, and integrates smoothly with your existing business software. By utilizing IoT Plug and Play, you can accelerate the development of scalable solutions. The implementation of an open modeling language enhances device communication within IoT ecosystems, allowing for effective device-to-cloud integration while reducing development time, costs, and complexities. Device manufacturers can create products that connect seamlessly with any Azure IoT cloud service, and solution creators can speed up their work without needing in-depth programming skills. As you reflect on the advancement of your IoT solutions and the protection of your data both on devices and in the cloud, keep in mind that Azure IoT Central is uniquely positioned as the only application platform designed with the crucial features of secure and scalable IoT systems. By tapping into our growing library of IoT app templates designed for key industry demands, you can secure a competitive advantage and transform your business processes. This unique blend of security and adaptability guarantees that your IoT endeavors remain innovative, empowering you to navigate and excel in the rapidly evolving technological environment. Ultimately, Azure IoT Central not only enhances the security of your operations but also fosters growth and innovation to help you stay ahead of the curve.
  • 4
    Azure Machine Learning Reviews & Ratings

    Azure Machine Learning

    Microsoft

    Streamline your machine learning journey with innovative, secure tools.
    Optimize the complete machine learning process from inception to execution. Empower developers and data scientists with a variety of efficient tools to quickly build, train, and deploy machine learning models. Accelerate time-to-market and improve team collaboration through superior MLOps that function similarly to DevOps but focus specifically on machine learning. Encourage innovation on a secure platform that emphasizes responsible machine learning principles. Address the needs of all experience levels by providing both code-centric methods and intuitive drag-and-drop interfaces, in addition to automated machine learning solutions. Utilize robust MLOps features that integrate smoothly with existing DevOps practices, ensuring a comprehensive management of the entire ML lifecycle. Promote responsible practices by guaranteeing model interpretability and fairness, protecting data with differential privacy and confidential computing, while also maintaining a structured oversight of the ML lifecycle through audit trails and datasheets. Moreover, extend exceptional support for a wide range of open-source frameworks and programming languages, such as MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R, facilitating the adoption of best practices in machine learning initiatives. By harnessing these capabilities, organizations can significantly boost their operational efficiency and foster innovation more effectively. This not only enhances productivity but also ensures that teams can navigate the complexities of machine learning with confidence.
  • 5
    Azure Industrial IoT Reviews & Ratings

    Azure Industrial IoT

    Microsoft Azure

    Transforming industries with seamless IoT integration and innovation.
    Create and implement Internet of Things (IoT) solutions that effectively unite both contemporary and traditional machinery, enhancing connectivity among suppliers, clients, and a globally distributed workforce. The Azure Industrial IoT framework highlights the importance of developing new solutions and utilizing data in accordance with established industry standards, thereby minimizing reliance on any specific vendor. Optimize your operations by taking advantage of swift asset discovery, outstanding global support, and a wealth of security expertise that extends from hardware to cloud applications. Ensure you maintain control over your solutions while successfully integrating existing equipment, setting the stage for future technologies or new assets. Design industrial IoT solutions that comply with OPC UA standards, guaranteeing interoperability with a range of industrial devices and systems. Moreover, improve data contextualization through powerful visualizations, leveraging Azure's managed services, open-source tools, and open industrial data models in both edge and cloud settings, ultimately fostering innovation in your business practices. By adopting this strategy, you not only enhance operational efficiency but also contribute to the development of a sustainable and flexible industrial ecosystem that can adapt to changing demands. This holistic approach ensures that your organization remains competitive and resilient in the face of evolving technological landscapes.
  • Previous
  • You're on page 1
  • Next