Vervesemi Microelectronics, a semiconductor fabless startup based in Noida, has raised $10 million in a Series A round as a move to boost the growing semiconductor ecosystem in India. Veteran market investor Ashish Kacholia and venture capital firm Unicorn India Ventures co-led the investment. This is a critical shift in the company since it is the first step before crossing the research and validation level to mass commercial deployment in a global platform.

Funding round and investors

The funding round involved highly active involvement of a wide range of institutional and personal investors, such as Roots Ventures, Caperize Fina, and the MAIQ Growth Scheme. The round was several times oversubscribed, and this situation indicates that investors are confident in the specialized technology of Vervesemi. The new investment is a continuation of a previous seed round, amounting to approximately $500K. It brings the total capital raised by the company to a level that allows for aggressive market expansion and increased manufacturing cycles.

The support of marquee investors such as Ashish Kacholia underscores the strategic importance of local semiconductor innovation. This Series A round, according to the leadership of the company, gives it the financial runway that it requires to move beyond high-maturity R&D to scaled market implementation, namely in the area of high-growth products like smart energy, industrial automation, and avionics.

Primary strategic area and analog approach

Vervesemi, which was founded in 2017 by Rakesh Malik and Pratap Narayan Singh, has established a niche in the high-performance analog and mixed-signal IC (Integrated Circuit) segment. The company supports its distinctiveness with references to the use of proprietary machine learning enabled architectures to improve the reliability, as well as the performance of its chips. This intelligent analog solution enables self-healing and fail-safe systems, which are essential in mission-critical systems in space, defence, and industrial systems.

Vervesemi has so far created a semiconductor IP block portfolio of more than 140 and 25 variants of IC products. The latest technical achievements of it are the successful siliconization of its ML-enabled analog signal chain, and several of its customers are already in the production phase. The company has introduced a product range of motor controllers tailored to the high-efficiency needs of electric vehicles (EVs) and drones.

The $10 million infusion will be allocated to three main strategic themes that would help to entrench Vervesemi within the international supply chain. Speeding up its deployment of machine-learning-enhanced analog signal chain portfolio, such as high-end data converters and power-sensing solutions. Investing in the tape-out and manufacturing of current silicon chip stocks and increasing engineering and end-user staff to accommodate an international clientele.

Developing a specialised go-to-market platform in Asia and the United States to interact more extensively with original equipment manufacturers (OEMs) and system firms. The company is also working on intensifying its collaborations with worldwide fabrication, packaging, and testing plants so that it can have quicker silicon validation stages and an increased ability to manufacture in high volume.

Conclusion

The recent Series A funding of Vervesemi highlights how India can be a producer of semiconductor not only a consumer, as the world’s sapphire system. The startup is addressing some of the most complex problems in data acquisition and power management by incorporating machine learning into the conventional analog design.

With its operations expanding Noida to the world’s technology centers, Vervesemi stands a good chance as the provider of intelligent mixed-signal solutions that the next generation of smart energy and industrial systems is going to rely on. This technical strength, with excellent institutional support, provides a solid platform on which the company’s mission to redefine precision SoC (System-on-Chip) design stems.