MQX RTOS Integrations

Golioth IoT cloud platform is the leading IoT development platform that enables modern engineering teams to quickly prototype and manage fleets of IoT devices. We put hardware at the center of your CI/CD process. With a unified API and device firmware SDK, plus a strong IoT ecosystem Golioth helps engineers easily build, integrate, and manage IoT solutions–without the stress. The only IoT cloud solution built for your entire team: from your hardware engineers to firmware developers, from cloud to data teams.

QuarkLink, created by Crypto Quantique, is an all-encompassing security platform for IoT devices that aims to streamline and hasten the adoption of security-by-design practices within embedded systems. This Software-as-a-Service (SaaS) offering integrates effortlessly into current software development processes, such as CI/CD pipelines, enabling the management of device identities, secure boot procedures, firmware updates over the air, and the lifecycle management of keys and certificates. It accommodates a diverse array of hardware platforms, ranging from microcontrollers operating on bare metal to industrial PCs running Linux, and is compatible with leading semiconductor manufacturers. The modular design of QuarkLink permits the independent utilization of its various components, which include provisioning and secure boot, OTA updates, service onboarding, and fleet management alongside certificate management. By offering such versatility, QuarkLink empowers developers to tailor their security implementations to meet specific project needs effectively. Ultimately, this platform stands as a pivotal tool in enhancing the security landscape for IoT devices.

Implement comprehensive OTA software updates, edge data gathering, and diagnostic functions for any vehicle framework on a unified platform tailored for OEMs and the software-defined vehicle landscape. Expedite product launches, reduce recall incidents, and enhance customer satisfaction with a renowned connected vehicle platform that grows alongside your needs. Leverage the Sibros Deep Connected Platform to enhance fleet health, refine future product designs, decrease recall issues, and explore innovative connected services. Transmit secure software updates to every ECU, addressing coding errors, lowering recall expenses, or enhancing vehicle capabilities and performance from anywhere at any time using OTA Deep Updater. Improve fleet health and open up new revenue streams through the collection of deep, high-quality, and actionable vehicle data from all ECUs with OTA Deep Logger. Simplify maintenance tasks and elevate connected service offerings by activating secure user and diagnostic commands for any ECU, ensuring a seamless integration of technology into the automotive experience. This holistic approach not only fosters innovation but also drives efficiency across the board.

NetsPresso serves as an advanced platform for optimizing AI models with a strong focus on hardware awareness. It facilitates on-device AI applications across various sectors, making it an essential tool for developing hardware-aware AI models. The incorporation of lightweight models like LLaMA and Vicuna allows for highly efficient text generation capabilities. Additionally, BK-SDM represents a streamlined version of Stable Diffusion models. Vision-Language Models (VLMs) effectively merge visual information with natural language processing. By addressing challenges associated with cloud and server-based AI solutions—such as limited connectivity, high expenses, and privacy concerns—NetsPresso stands out in the field. Furthermore, it operates as an automated model compression platform, effectively reducing the size of computer vision models to ensure they can function independently on smaller and less powerful edge devices. By optimizing target models through various compression techniques, the platform successfully minimizes AI models while maintaining their performance integrity. This dual focus on efficiency and effectiveness positions NetsPresso as a leader in the field of AI optimization.