Insider Brief
- Velaura AI raised $110 million in a Series A round led by Seligman Ventures to develop lower-power computing technology for AI data centers and physical-AI systems, valuing the company at more than $1 billion.
- The company plans to use the funding to commercialize its Titan Core silicon platform and expand engineering and customer teams, with Capricorn Investment Group, Prosperity7 Ventures and existing investors also participating.
- Velaura said Titan Core can deliver a two- to four-times improvement in performance per watt for AI accelerator operations, while its underlying technology has already been deployed in more than 30 million ASICs.
Velaura AI announced it has raised $110 million in a Series A 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, along with existing investors Mayfield, Maverick Silicon, MARA, Premji Invest, Samsung Catalyst Fund and StepStone Group also participated, according to the company.
Velaura indicated it plans to use the capital to develop and commercialize its AI computing portfolio, including its Titan Core silicon platform, and expand its engineering and customer teams. It is also working with customers and strategic partners developing AI infrastructure and physical AI.
Velaura develops chip technology intended to increase the amount of computing work performed for each watt of electricity consumed in order to address the constraint in AI computing regarding power consumption. Large AI data centers require substantial electrical capacity, while robots, drones and autonomous machines face tighter limits on battery power, heat 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 digital chip IP and design platform Titan Core delivers a two- to four-times improvement in performance per watt for mathematical operations used by AI accelerators while maintaining computing performance. It’s a platofrm that semiconductor companies can incorporate into AI accelerators rather than requiring Velaura to manufacture complete processors itself.
Velaura is applying the architecture to two markets with different power requirements. In data centers, greater efficiency could allow operators to run more AI computing within available electrical capacity. It is extending the same low-power architecture into computing systems for intelligent robots, drones and other machines that run AI models while interacting with the physical world.
The company said the underlying technology has already been deployed in more than 30 million application-specific integrated circuits, or ASICs, produced using advanced semiconductor manufacturing processes.
Velaura’s leadership and engineering team includes veterans of Apple, Nvidia, Google, Qualcomm and Marvell, along with executives who have previously built semiconductor companies, according to the announcement.
