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World of Software > Mobile > ASUS presents AISVision 365, cloud-native computer vision
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ASUS presents AISVision 365, cloud-native computer vision

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Last updated: 2025/10/13 at 9:31 PM
News Room Published 13 October 2025
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ASUS’ IoT division has announced the launch of AISVision 365, a cloud native computer vision platform designed to reduce integration time and accelerate the implementation of artificial intelligence in the enterprise market. By integrating computer vision capabilities directly into the browser, the platform eliminates configuration complexity and allows companies to start developing AI applications in minutes.

AISVision 365 allows registered members to start AI projects immediately from a web browser. Its comprehensive workflow combines data annotation, model training, and inference management, streamlining the process and accelerating proof-of-concept validation.

The online version helps companies Quickly test and optimize AI modelswhich offers clear advantages for product validation and development. At the same time, AISVision’s AI toolkit will continue to operate, ensuring uninterrupted service for existing customers.

AISVision 365, versatile and scalable AI

The platform supports a wide range of AI algorithms such as classification, segmentation, anomaly detection and object detection, providing versatile solutions for machine vision tasks. Continuous cloud updates ensure users always have access to the latest features, maximizing efficiency and maintaining cutting-edge capabilities for industrial AI projects.

ASUS IoT plans to launch integrated hardware and software solutions to support businesses that require local training capabilities. Inference support now extended de Windows a Linuxincluding support for ARM-based platforms such as NVIDIA Jetson, a solution for local AI development in a system-on-a-chip (SoC) format that transforms from a compact board into a professional workstation-level computer.

This cloud-native expansion offers scalable and efficient deployment options, enabling lightweight edge models, minimizing initial investment, and maximizing operational value in diverse industrial environments.

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