Velaura AI has raised $110 million in Series A funding at a valuation exceeding $1 billion, achieving unicorn status. Seligman Ventures led the round with participation from Capricorn Investment Group and Prosperity7 Ventures. Existing investors Mayfield, Maverick Silicon, MARA, Premji Invest and Samsung Catalyst Fund also joined, alongside StepStone Group.
The new capital will accelerate development of Velaura’s AI compute portfolio and commercial operations. The company is targeting two rapidly growing segments: energy-efficient data centre computing and Physical AI applications. Velaura argues that power consumption has become a primary constraint for artificial intelligence infrastructure. While hyperscalers invest heavily in AI data centres, securing adequate electricity and cooling capacity remains increasingly difficult.
Velaura’s flagship technology, the Titan Core silicon platform, provides proprietary digital chip intellectual property and design capabilities. The company claims Titan Core delivers two to four times better performance per watt for mathematical operations used in AI accelerators. The technology has already reached commercial-scale deployment across more than 30 million ASICs spanning leading semiconductor manufacturing processes, demonstrating manufacturing yield and reliability.
Velaura plans to apply Titan Core across AI accelerators while extending the architecture into Physical AI applications including intelligent robots, drones and autonomous systems. These machines operate under strict power and thermal limitations. Rajiv Khemani, Velaura’s co-founder and chief executive, said future AI progress will require better compute economics and that the company aims to build the silicon and software foundation for that transition.
AI infrastructure is consuming increasing amounts of electricity, pressuring data centre operators to improve computing efficiency. Higher power consumption also creates additional cooling requirements, increasing deployment costs. Velaura addresses these constraints at the silicon level by improving performance without proportionally increasing energy consumption. The company also sees opportunity beyond traditional data centres. Physical AI systems require efficient computing for real-world applications where robots and autonomous machines cannot rely on the same power resources as large facilities.
Velaura’s leadership team includes executives and engineers from Apple, NVIDIA, Google, Qualcomm and Marvell, with experience developing low-power and high-performance semiconductor platforms shipped across billions of devices. The funding will accelerate Titan Core development and expand engineering and customer-facing teams to support deeper collaborations with strategic partners across AI infrastructure and Physical AI development.
The financing reflects growing investor interest in energy-efficient AI infrastructure as electricity availability emerges as a major limit on AI expansion. Velaura’s approach could allow more computing capacity within existing power constraints while reducing thermal pressure across AI infrastructure. The company is positioning its technology for both hyperscale and edge applications, providing exposure to multiple segments of the expanding AI compute market from its Silicon Valley headquarters.
