🖥️ AI for Circuit Design
Quilter is an AI startup transforming PCB design with machine learning, significantly improving efficiency and reducing design time.
Today's Highlights
- Quilter - automating PCB design from concept to completion
- Learn - a couple of courses to further your knowledge in AI
- In Other News - a few interesting developments we're tracking
Quilter - Automating PCB Design from Concept to Completion
Quilter is an innovative AI company that specializes in automating the design of printed circuit boards (PCBs) using a combination of machine learning and high-performance computing. This Los Angeles-based startup aims to revolutionize PCB design, which has traditionally been a labor-intensive and manual task. Quilter's technology leverages reinforcement learning to optimize the layout process, reducing the time required from weeks to just hours, thus significantly cutting costs and improving efficiency.
Quilter was born out of the challenges the founders faced in manually designing circuit board layouts and his vision to automate this process to speed up innovation in electronics. The company's mission is to accelerate global innovation in electronics by enabling hardware teams to focus more on invention and exploration, rather than the tedious aspects of PCB design.
Quilter has made significant strides in integrating AI into the field of electronic design, specifically for printed circuit boards (PCBs). The company's approach, centered around a cutting-edge application of machine learning, specifically reinforcement learning, stands out due to its deep integration with physics simulations. The company’s technology has the capability to natively handle files from popular design software like Altium and KiCAD, making it a versatile tool for engineers.
Quilter emphasizes a holistic approach to PCB design automation. Unlike traditional methods that often rely on segmented or partially automated steps, Quilter's technology seeks to automate the entire process. This includes everything from the initial input of schematics to the final output of manufacturing-ready design files. This full automation aims to reduce the iterative nature of board design, where engineers typically go back and forth adjusting layouts based on physical testing results.
The company was founded by Sergiy Nesterenko. To date, they have raised $10 million.
📚 Learn
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In Other News
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