What's Happening?
Three engineers from Howard University have launched Trace, an AI-driven software company aimed at automating the printed circuit board (PCB) design process. Founded by Ayomide Adekoya, Jeff Allo, and Olu Afolabi, who have backgrounds at major tech companies
like Apple, Meta, and NVIDIA, Trace seeks to streamline one of the most labor-intensive stages of hardware development. The platform uses natural language prompts to automate tasks such as schematic generation and component selection, significantly reducing the time and errors associated with traditional PCB design. Trace has already partnered with PCBWay and Pikkolo Assembly to integrate directly with manufacturing processes, allowing for a seamless transition from design to production.
Why It's Important?
The launch of Trace represents a significant advancement in the hardware development industry, particularly in the context of the global PCB supply chain restructuring. By automating the PCB design process, Trace addresses a critical bottleneck in hardware development, enabling faster innovation and reducing costs associated with design errors. This development is particularly relevant for industries like robotics, defense, and consumer electronics, where rapid prototyping and production are essential. The platform's ability to cut design cycles from 12 weeks to just 2 weeks could lead to substantial competitive advantages for companies adopting this technology.
What's Next?
As Trace begins to accept customers worldwide, its impact on the hardware development landscape will likely grow. The company plans to expand its customer base, which includes solo engineers, robotics companies, and defense contractors. The success of Trace could prompt other companies to explore similar automation technologies, potentially leading to broader industry shifts towards AI-driven design processes. The platform's integration with manufacturing partners also suggests a future where design and production are more closely aligned, further accelerating product development cycles.












