With support from TDK Ventures, C2i Semiconductors expands its Series A round to $16.7 M
TDK Ventures participated in both the initial raise and the oversubscribed extension of semiconductor startup C2i Semiconductors’ Series A funding round, which was extended to $16.7 million.
In February of this year, the Bengaluru-based startup raised $15 million in the first round of its Series A funding, which was led by Peak XV Partners and included Yali Deeptech and TDK Ventures. It had previously raised $4 million in November 2024 from Yali Capital, a deeptech venture fund.
According to a press release from C2i Semiconductors, the additional funds will be utilized to grow operations and expedite product development initiatives.
C2i Semiconductors, which was co-founded in June 2024 by Ram Anant, Vikram Gakhar, Preetam Tadeparthy, Dattatreya Suryanarayana, Harsha S B, and Muthusubramanian N V, creates power management solutions for cloud infrastructure and AI data centers. In order to rethink how power moves from the grid to the processor core, the company focuses on system-level innovations.
C2i’s unique selling point is the proprietary intellectual property that powers its goods. The Manas Controller, a software-defined controller with a distinctive control architecture that is independent of PDN modifications and processor specifications, is part of its platform. Flexible phase operations for higher-current applications are made possible by the Sarayu Power Stage and Modular Scalability architecture, which also supports voltage regulators (VRs) and VPD architecture.
The tape-out of the startup’s smart power stage chip, intended for AI infrastructure, was just announced. The company’s internal semiconductor engineering team created the chip from start to finish in India.
AI infrastructure capital expenditures are predicted to reach $500–600 billion over the next 12–18 months and could reach $1 trillion by 2030, according to market research.
Compared to the 94% efficiency provided by current solutions, C2i’s platform is expected to deliver over 96% power conversion efficiency. These improvements, along with lower heat production, could result in annual energy savings of almost $12 million in a 100 MW AI data center. Furthermore, the technology makes it possible for processors to operate up to 4°C cooler, which could prolong the life of AI hardware.
