Powered by AWS, IoT device developers will be able to leverage AI/ML in real-time to avoid wireless connectivity roadblocks and make their projects materially easier to get to market.
Oxion de-risks the process through accurate performance prediction and device-tailored design guidance powered by proprietary algorithms leveraging real-world experience from enabling more than 50 million wireless devices.
Developers will no longer be solely reliant on what is provided in a static component datasheet as Oxion now provides an interactive digital twin that matches the exact device requirements.
“All good ideas deserve optimal wireless connectivity, and with the installed base of connected device reaching 70 billion in 2026 according to ABI Research, we need to provide easy access and scale our efforts as an industry,” explained Jaap Groot, CEO at Ignion.
The development of this user-friendly and free to access platform was made possible through a grant from the European Union Innovation Council’s Accelerator program. This allowed Ignion to work with Barcelona-based AI/ML experts, Basetis, who have developed proprietary algorithms including active learning that power the real-time results engine.
Oxion builds on top of Ignion’s existing Antenna Intelligence Cloud, launched in 2022, and it supports anyone, regardless of their level of RF expertise. Interactive design and meeting the project’s RF specifications is now significantly easier. The real-time drag and drop functionality with immediate performance feedback allows developers to tweak the design and decide on antenna component, placement, clearance, and PCB size.
Once registered, the users are presented with tailored recommendations for the specific device being built and Oxion acts as the developer copilot from concept to production.
Once ready to build hardware, Oxion includes direct access to Ignion’s distribution channels to easily procure Bill-of-Materials in one go. Multiple projects can be managed by multiple users and compared all through one dashboard. The result is a de-risked design process avoiding endless trial-and-error steps.
