2 Integrations with Logitech Capture

View a list of Logitech Capture integrations and software that integrates with Logitech Capture below. Compare the best Logitech Capture integrations as well as features, ratings, user reviews, and pricing of software that integrates with Logitech Capture. Here are the current Logitech Capture integrations in 2025:

  • 1
    Xyte

    Xyte

    Xyte

    Xyte is a cloud-based device lifecycle and operations platform designed for organizations to manage, monitor, control, and automate fleets of AV, UC, IoT, and smart building devices at scale. It offers centralized fleet management (both cloud-connected devices and those on local networks), real-time monitoring, and centralized firmware updates. It includes AI-powered agents (using something called the “Model Context Protocol” or MCP) to enable self-healing, automated troubleshooting, and faster issue resolution. Xyte integrates with existing IT workflows, ticketing systems, and messaging apps and offers no-code APIs to connect to many vendors. It provides enterprise-grade security, supports a universal device API, and has modular components. Key benefits include reduced downtime, fewer on-site visits or “truck rolls,” improved efficiency for system integrators, manufacturers, and in-house IT/AV/UC teams, capacity for smart building monitoring, and remote support capacity.
    Starting Price: $1.99 per month
  • 2
    Project G-Assist
    ​NVIDIA's Project G-Assist is an AI assistant designed to enhance the gaming experience for GeForce RTX users by providing system optimization, real-time diagnostics, and peripheral customization through simple voice or text commands. Integrated within the NVIDIA app, G-Assist can adjust game settings for optimal performance or image quality, monitor and chart key performance metrics like frame rates and system latency, and manage lighting effects on compatible devices from brands such as Logitech, Corsair, MSI, and Nanoleaf. By leveraging a locally run Small Language Model (SLM), G-Assist ensures responsive and offline operation without the need for cloud connectivity. Users can activate G-Assist via the NVIDIA app overlay or by pressing Alt+G, and it utilizes the GeForce RTX GPU to perform AI inference tasks. Developers and enthusiasts can extend G-Assist's capabilities through a community-driven plugin architecture, with resources and sample plugins available.
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