4 Integrations with MQX RTOS

View a list of MQX RTOS integrations and software that integrates with MQX RTOS below. Compare the best MQX RTOS integrations as well as features, ratings, user reviews, and pricing of software that integrates with MQX RTOS. Here are the current MQX RTOS integrations in 2026:

  • 1
    Golioth

    Golioth

    Golioth

    Connect and secure devices, send sensor data to the web, update firmware over the air, and scale your fleet with our instant IoT cloud. Select hardware and connectivity that meets your needs from your preferred vendor. Use the open source Golioth Device SDK to integrate with your firmware securely. Once connected you can instantly monitor, manage, and update your devices from the Golioth console. We’re a group of industry-leading hardware, firmware, and cloud engineers. We understand the struggle to connect “sand” to the internet, so we built a better way to do just that. We’re built for the embedded developer workflow. Use the tools you’re already familiar with to build robust and reliable devices, faster. Choose from hundreds of hardware options and a variety of connectivity types, protocols, and multiple embedded RTOS providers. Golioth provides a single control plane for all your devices, whether you’re exploring an idea, or improving an existing project.
    Starting Price: $0
  • 2
    QuarkLink

    QuarkLink

    Crypto Quantique

    QuarkLink is a comprehensive IoT device security platform developed by Crypto Quantique, designed to simplify and accelerate the implementation of security-by-design principles across embedded systems. It provides a Software-as-a-Service (SaaS) solution that integrates seamlessly into existing software development workflows, including CI/CD pipelines, to manage device identities, secure boot processes, over-the-air firmware updates, and key and certificate lifecycle management. QuarkLink supports a wide range of hardware platforms, from microcontrollers running bare metal to industrial PCs operating Linux, and is compatible with major semiconductor manufacturers. QuarkLink's modular architecture allows for independent use of its components, including provisioning and secure boot, OTA updates and service onboarding, and fleet and certificate management.
  • 3
    Sibros

    Sibros

    Sibros

    Enable deep OTA software updates, edge data collection and diagnostic commands for any vehicle architecture on a single platform built for OEMs & the software-defined vehicle era. Accelerate product launch, mitigate recalls and delight customers with an award-winning connected vehicle platform that scales with you. Optimize fleet health, improve next-generation product designs, mitigate recalls and innovate new connected services with the Sibros Deep Connected Platform. Send safe and secure software updates to every ECU to fix code defects, reduce recall costs or upgrade vehicle functionality and performance anytime, anywhere with OTA Deep Updater. Optimize fleet health and enable new revenue-generating connected services by collecting deep, high-quality and actionable vehicle data from every ECU with OTA Deep Logger. Streamline maintenance processes and enrich connected services by triggering secure user or diagnostic commands to any ECU.
  • 4
    NetsPresso

    NetsPresso

    Nota AI

    NetsPresso is a hardware-aware AI model optimization platform. NetsPresso powers on-device AI across industries, and it's the ultimate platform for hardware-aware AI model development. Lightweight models of LLaMA and Vicuna enable efficient text generation. BK-SDM is a lightweight version of Stable Diffusion models. VLMs combine visual data with natural language understanding. NetsPresso resolves Cloud and server-based AI solutions-related issues, such as limited network, excessive cost, and privacy breaches. NetsPresso is an automatic model compression platform that downsizes computer vision models to a size small enough to be deployed independently on the smaller edge and low-specification devices. Optimization of target models being key, the platform combines a variety of compression methods which enables it to downsize AI models without causing performance degradation.
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