MQX RTOS Integrations

Golioth's IoT cloud platform stands out as a premier solution for IoT development, allowing contemporary engineering teams to swiftly create prototypes and oversee extensive fleets of IoT devices. By prioritizing hardware within your continuous integration and continuous deployment (CI/CD) workflow, Golioth offers a cohesive API along with a device firmware software development kit (SDK) and a robust IoT ecosystem, empowering engineers to construct, integrate, and manage IoT solutions with ease. This IoT cloud platform is uniquely designed to support your entire team, catering to hardware engineers, firmware developers, and cloud and data specialists alike, ensuring seamless collaboration and efficiency throughout the development process.

QuarkLink, developed by Crypto Quantique, serves as a comprehensive security solution for IoT devices, focusing on facilitating the swift adoption of security-by-design methodologies in embedded systems. This Software-as-a-Service (SaaS) platform integrates seamlessly into existing software development workflows, including CI/CD pipelines, allowing for the efficient management of device identities, secure boot processes, over-the-air firmware updates, and key and certificate lifecycle management. It supports a wide range of hardware, from bare-metal microcontrollers to industrial PCs that run on Linux, and it is designed to work with major semiconductor manufacturers. The modular architecture of QuarkLink enables users to leverage its various components independently, encompassing features like provisioning and secure boot, OTA updates, service onboarding, and fleet management with certificate management. This flexibility allows developers to customize their security implementations to align precisely with their project requirements. By providing such adaptable capabilities, QuarkLink significantly contributes to the improvement of the security framework for IoT devices, ultimately fostering a more secure digital environment. As the demand for IoT security grows, tools like QuarkLink are becoming increasingly essential for developers.

Create a unified platform for OEMs that facilitates extensive OTA software updates, edge data collection, and diagnostic capabilities tailored for the software-defined vehicle ecosystem. This approach enables quicker product introductions, minimizes the frequency of recalls, and boosts customer satisfaction by utilizing a well-established connected vehicle system that evolves with your requirements. Harness the power of the Sibros Deep Connected Platform to improve fleet health, optimize future product innovation, reduce recall incidents, and unlock new connected service opportunities. Utilize OTA Deep Updater to securely deliver software updates to every ECU, effectively resolving coding issues, decreasing recall costs, and enhancing vehicle performance and functionality from any location at any time. Enhance fleet health further while generating additional revenue through the acquisition of deep, high-quality, and actionable data from all ECUs via OTA Deep Logger. Streamline maintenance operations and improve connected service capabilities by enabling secure user and diagnostic commands for any ECU, ensuring a smooth integration of technology into the automotive landscape. This comprehensive strategy not only fosters innovation but also promotes efficiency, paving the way for a more advanced automotive future. Ultimately, this initiative allows manufacturers to stay competitive and responsive to ever-changing market demands.

NetsPresso is a cutting-edge platform designed to enhance AI models, emphasizing hardware compatibility for optimal performance. It supports on-device AI applications across multiple industries, making it invaluable for creating models that are sensitive to hardware specifications. By utilizing lightweight frameworks such as LLaMA and Vicuna, it achieves exceptional text generation efficiency. Moreover, BK-SDM serves as a more efficient rendition of Stable Diffusion models, enhancing usability. The integration of Vision-Language Models (VLMs) allows for a seamless combination of visual data and natural language processing capabilities. NetsPresso effectively tackles common challenges faced by cloud and server-based AI solutions, such as limited connectivity, high costs, and privacy issues, which gives it a competitive edge. In addition, it functions as an automated model compression platform, adeptly shrinking the size of computer vision models so they can operate independently on smaller edge devices. Through the application of various compression strategies, the platform reduces the size of AI models while preserving their operational effectiveness. This commitment to both efficiency and high performance solidifies NetsPresso's position as a frontrunner in the realm of AI optimization, paving the way for future advancements in the industry.