Vervesemi Secures $10 Million Series A Funding for Machine Learning-Enhanced Analog Chip Portfolio

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Vervesemi, a fabless semiconductor startup, has secured $10 million in a Series A funding round co-led by Ashish Kacholia and Unicorn India Ventures. This investment aims to accelerate the commercialization of Vervesemi’s machine learning-enhanced analog signal chain IC portfolio and expand its presence in key semiconductor markets globally.

Established in 2017 by Rakesh Malik and Pratap Narayan Singh, Vervesemi specializes in high-performance analog and mixed-signal IP, utilizing proprietary machine learning-enabled architectures to enhance reliability and system-level performance in critical environments.

With a focus on technology maturation, Vervesemi has successfully validated its ML-enabled analog signal chain architecture in silicon, attracting multiple customers and broadening its product pipeline in industrial and smart energy sectors. The startup has also introduced a new motor control product line for efficient applications in electric vehicles, drones, and industrial automation, emphasizing precision sensing and enhanced fault detection for improved performance and safety.

Partnerships with key players in fabrication, packaging, and testing have been strengthened to facilitate scalable production and quicker silicon validation cycles, reinforcing Vervesemi’s position in the semiconductor industry. The company boasts a diverse portfolio of over 140 semiconductor IP blocks and 25 IC product variants serving various sectors such as space, defense, and smart energy, supported by 10 patents and five trade secrets.

Source: Entrackr : Latest Posts