The configurator uses AI to retrieve and organise data on over 1,400 MCU families from major manufacturers, including Renesas, STMicroelectronics, NXP Semiconductors and Texas Instruments.
The configurator is part of a suite of embedded developer tools set powered by Embedd Data Hub, claimed to be the first standardised, AI-enabled database of active components. It contains hardware-specific data for parts to streamline embedded software development and introduce capabilities (e.g., automated driver generation) to a design.
The configurator is a single, unified tool for MCUs and boards. Users can visually assign pin functions, configure settings, and generate device trees and overlays.
According to the company, an intuitive configuration interface can “turbo-boost” productivity by working through datasheets to discover pin functions and device operating parameters. This reduction in design time will accelerate time-to-market when using new hardware and strengthen supply chain resilience, commented Maxim Gorinov, co-founder and chief product officer at Embedd.it. Making it easier to migrate between hardware enables OEMs to implement second sourcing options and increase MCU vendor choice when updating the design of an existing product.
“Engineers can seamlessly port and reconfigure across vendors, while our tools handle configuration and driver generation automatically in the background,” commented co-founder and CEO, Michael Lazarenko.
The configurator tool is supplied as a Visual Studio Code extension and as a web-based application. Embedd.it added that it will add support for bare-metal configuration outputs soon.
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