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Edge AI Services

Harness the power of Edge AI for unparalleled performance and efficiency. At Virta, we specialize in developing cutting-edge Edge AI solutions that bring intelligence directly to the edge of the network, enabling real-time data processing, analysis, and decision-making without the need for constant connectivity to the cloud.

Our Edge AI offerings

Custom Edge AI Development

Our team of AI experts specializes in developing custom Edge AI solutions tailored to your specific needs and objectives. Whether you need to perform real-time object detection on IoT devices, analyse sensor data on edge servers, or implement machine learning models on mobile devices, we have the expertise to deliver solutions that meet your requirements.

Optimized Performance

Edge AI solutions are optimized for performance and efficiency, enabling real-time inference and decision-making on resource-constrained devices. Our solutions leverage techniques such as model compression, quantization, and optimization to maximize performance while minimizing memory and computational requirements.

Low Latency and Real-time Processing

By processing data locally on the edge device, our Edge AI solutions offer low latency and real-time processing capabilities, enabling rapid decision-making and response to changing conditions. Whether it's detecting anomalies in sensor data, recognizing objects in images, or translating speech in real-time, our solutions deliver instant insights and actions.

Privacy and Security

Edge AI solutions offer enhanced privacy and security by processing sensitive data locally on the device, rather than transmitting it to centralized cloud servers. Our solutions incorporate privacy-preserving techniques such as federated learning, differential privacy, and on-device encryption to protect user data and ensure compliance with privacy regulations.

Scalability and Flexibility

Our Edge AI solutions are designed to be scalable and flexible, allowing you to deploy and manage thousands or even millions of edge devices seamlessly. Whether you're deploying Edge AI solutions in smart cities, industrial IoT, healthcare, or retail, our solutions can scale to meet the demands of your application.

Tools

  • AWS IoT Greengas

  • Azure IoT Edge

  •  Google Cloud IoT Edge

Technologies

  •  Edge Impulse

  •  Secure Boot and Authentication

  •  Edge-to-Cloud Connectivity

  •  Raspberry Pi

  •  NVIDIA Jetson

FAQ

  • Edge AI refers to the deployment of artificial intelligence algorithms and models directly on edge devices, such as smartphones, IoT devices, and embedded systems, rather than relying on centralized cloud servers for computation. This enables real-time data processing, analysis, and decision-making without constant connectivity to the cloud, resulting in lower latency, reduced bandwidth usage, and enhanced privacy and security.

  • Edge AI offers several benefits for businesses, including:

    • Low latency: Enables real-time processing and decision-making, critical for time-sensitive applications.

    • Reduced bandwidth usage: Minimizes data transfer to the cloud, resulting in lower costs and improved network efficiency.

    • Enhanced privacy and security: Processes sensitive data locally on edge devices, reducing exposure to privacy risks and security vulnerabilities.

    • Improved reliability: Reduces dependence on cloud connectivity, ensuring continued operation even in offline or degraded network conditions.

  • Edge AI has applications across various industries, including manufacturing, healthcare, retail, transportation, and smart cities. Examples include predictive maintenance in manufacturing plants, real-time patient monitoring in healthcare facilities, and intelligent traffic management in smart cities.

  • We offer a range of Edge AI solutions tailored to specific use cases and requirements, including:

    • Real-time analytics and monitoring

    • Anomaly detection and predictive maintenance

    • Object detection and recognition

    • Natural language processing and speech recognition

    • Personalized recommendation systems

    • Autonomous navigation and robotics

  • We prioritize privacy and security in the design and implementation of our Edge AI solutions. We employ techniques such as federated learning, differential privacy, and on-device encryption to protect user data and ensure compliance with privacy regulations

  • The timeline for developing and deploying an Edge AI solution depends on factors such as the complexity of the use case, the availability and quality of data, and the specific requirements of the project. Typically, development timelines can range from a few weeks to several months.

  • Yes, existing infrastructure can be retrofitted with Edge AI capabilities. Our team works closely with clients to assess their current infrastructure and develop a strategy for integrating Edge AI solutions seamlessly into their existing systems and workflows.

  • We employ advanced techniques such as model optimization, hardware acceleration, and continuous monitoring to ensure the performance and reliability of our Edge AI solutions. We also provide ongoing support and maintenance services to detect and address performance issues proactively.

  • Our Edge AI services are distinguished by our:

    • Deep expertise in AI technologies and edge computing

    • Customized solutions tailored to the unique needs of each client and industry

    • Proven track record of delivering high-quality Edge AI solutions that drive business value

    • Commitment to privacy, security, and ethical AI practices

    • Continuous innovation and dedication to staying at the forefront of Edge AI technology

  • To get started with Edge AI services for your business, simply reach out to us to schedule a consultation. Our team will work closely with you to understand your needs and objectives and develop a tailored plan to implement Edge AI solutions that drive value for your organization

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