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Velaura AI raises $110 million, valued over $1 billion in Series A round

Velaura AI, a chip designing startup focused on low-power AI technologies, raised $110 million in a Series A funding round that valued the company at more…

Velaura AI, a chip designing startup focused on low-power AI technologies, raised $110 million in a Series A funding round that valued the company at more than $1 billion, the company announced on August 18. The round was led by Seligman Ventures and included participation from Capricorn Investment Group, Samsung Catalyst Fund, StepStone Group, and Maverick Silicon, according to livemint.com.

The funding round attracted both new and existing investors, with Capricorn Investment Group joining for the first time while Samsung Catalyst Fund, StepStone Group, and Maverick Silicon continued their support. Velaura AI specializes in developing chips and software aimed at reducing power consumption and operating costs in AI data centers as well as physical AI applications such as robotics and autonomous systems. The company plans to use the proceeds to accelerate product development and expand its engineering and customer-facing teams.

This funding round positions Velaura AI among the growing number of startups addressing energy efficiency challenges in AI infrastructure, a sector attracting significant investor interest amid rising data center costs. Comparable deals in the chip design space have highlighted the importance of low-power solutions as AI workloads increase globally. Velaura’s valuation exceeding $1 billion signals strong market confidence in its technology and growth potential within the competitive AI hardware landscape.

Velaura AI’s Series A funding announcement on August 18 confirms the company’s rapid ascent in the AI chip sector, marking a milestone as it prepares to scale operations and product offerings. The startup’s ability to secure $110 million from prominent investors underscores the demand for energy-efficient AI hardware solutions in data centers and autonomous systems.

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