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Foundries.io’s George Gray explains how the team, now inside Qualcomm, is turning its cloud-native FoundriesFactory platform into the backbone for secure Linux- and MCU-based IoT products. By combining lifecycle device management, secure OTA pipelines and an open DevSecOps workflow, Foundries.io aims to let OEMs and startups go from Arduino prototype to maintainable fleet without building their own infrastructure. https://foundries.io/
The discussion revolves around the new Arduino UNO Q, a dual-brain board that pairs a Debian Linux system-on-module based on Qualcomm’s Dragonwing QRB2210 with an STM32U585 microcontroller. This hybrid Linux plus real-time architecture keeps the familiar Arduino GPIO footprint and shields, while adding Wi-Fi 5, Bluetooth 5.1, high-speed camera and display connectors and USB-attached HDMI, so developers can move from simple sketches to AI-enabled graphical applications on the same $45 board.
Gray shows how FoundriesFactory acts as a SaaS DevOps layer for these devices, providing Yocto-based Linux images, containerized applications, CI/CD, fleet management and over-the-air updates built on The Update Framework (TUF). Recorded at Embedded World North America in Anaheim, the demo dashboard represents a live “factory” of devices where OEMs can roll out firmware, kernel and application updates, track SBOMs and vulnerabilities, and design for upcoming EU Cyber Resilience Act (CRA) requirements around secure-by-design lifecycle management.
Within Qualcomm’s broader edge strategy, the acquisitions of Foundries.io, Edge Impulse and Arduino create a full stack that links silicon, Linux distributions, ML tooling and device management. The same platform can target Qualcomm RB3 Gen 2 and other SoCs for vision workloads such as object detection, while still supporting non-Qualcomm hardware, keeping the software stack open and portable for mixed fleets and long product lifetimes.
The conversation closes on how AI fits both on and around the device: Edge Impulse can retrain models on new datasets and FoundriesFactory can safely redeploy those models, while generative AI today is more pragmatic in testing, documentation and developer assistance than in producing security-critical firmware. Together, this ecosystem hints at how maker-grade boards like UNO Q, secure OTA infrastructure and CRA-aligned practices can converge into industrial IoT and edge products that stay maintainable and secure over many years.
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