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.

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 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.