Velaura AI raises $110M in Series A funding to develop ultra-low-power AI compute infrastructure.
Velaura AI has raised $110 million in a Series A funding round to develop lower-power computing technology for AI data centers and physical AI, valuing the company at more than $1 billion. Seligman Ventures led the financing, with participation from new investors Capricorn Investment Group and Prosperity7 Ventures. Existing investors Mayfield, Maverick Silicon, MARA, Premji Invest, Samsung Catalyst Fund, and StepStone Group also participated.
The company plans to deploy the capital to develop and commercialize its AI computing portfolio, including its Titan Core silicon platform, while expanding its engineering and customer teams. Velaura is simultaneously collaborating with customers and strategic partners to advance AI infrastructure and physical AI applications.
Velaura develops chip technology designed to increase the amount of computing work performed per watt of electricity consumed, directly addressing power constraints that limit AI scaling. Large AI data centers require substantial electrical capacity, while robots, drones, and autonomous machines face stricter limitations on battery power, heat dissipation, and physical size. “Every advance in AI, from reasoning models to embodied intelligence, creates demand for more compute, and ultimately more power,” co-founder and CEO Rajiv Khemani noted in the announcement. “The next era of AI will be defined not only by better models, but also by fundamentally better compute economics. Velaura is building the ultra-low-power silicon and software foundation needed to scale AI from hyperscale data centers to intelligent machines operating in the physical world.”
According to Velaura, its Titan Core digital chip IP and design platform delivers a two- to four-times improvement in performance per watt for the mathematical operations used by AI accelerators, without compromising overall computing performance. Rather than manufacturing complete processors, the company offers a platform that semiconductor firms can integrate directly into their own AI accelerators.
Velaura is applying this architecture across two distinct markets with varying power requirements. In data centers, enhanced efficiency enables operators to run greater AI workloads within existing electrical capacity. The same low-power architecture is being extended to computing systems for intelligent robots, drones, and other physical-world machines running AI models. The underlying technology has already been deployed in more than 30 million application-specific integrated circuits (ASICs) produced through advanced semiconductor manufacturing processes.
Velaura’s leadership and engineering team comprises veterans from Apple, Nvidia, Google, Qualcomm, and Marvell, alongside executives with prior experience building semiconductor companies.