Greater Noida-based semiconductor firm VerveSemi has announced a groundbreaking innovation in analog signal chains, leveraging machine learning technology to significantly boost performance. The advancement enhances signal converter capabilities from 6 bits to 14 bits at 1 gigasample per second (Gsps), marking a major leap in the field.
The global analog signal chain market, currently valued at $110 billion, is projected to surpass $240 billion by 2030. VerveSemi’s breakthrough addresses the traditional trade-offs between speed, power, and resolution, delivering superior performance without compromise.
Co-Founder and CTO Pratap Narayan Singh noted that the company has focused on solving complex signal processing challenges with cutting-edge solutions. CEO Rakesh Malik emphasized the far-reaching impacts of the technology across multiple industries, including consumer electronics, automotive, and defense.
VerveSemi’s machine learning framework autonomously corrects signal conversion errors, ensuring reliable performance even in challenging conditions. The technology has broad applications, from improving telecommunications reliability and communication quality to enhancing diagnostic imaging in healthcare. Its self-healing design is especially beneficial for aerospace and defense sectors, where reliability is critical.
Since its founding in 2017, VerveSemi has been a leader in high-performance analog integrated circuits (IP) and application-specific integrated circuits (ASICs). Known for its power-efficient, compact designs, the company holds numerous patents in signal chain technology, cementing its place as an innovator in the semiconductor industry.
