<p><strong>SANTA CLARA</strong> &#8212;<a href="https://cts.businesswire.com/ct/CT?id=smartlink&;url=https%3A%2F%2Fvelaura.ai%2F&;esheet=54590800&;newsitemid=20260818925932&;lan=en-US&;anchor=Velaura+AI%2C+Inc.&;index=1&;md5=8c9b9a943c4eca08f1dbeebe9e3c962b" target="_blank" rel="nofollow noopener" shape="rect"><b>Velaura AI, Inc.</b></a>, an AI compute infrastructure company developing ultra-low-power silicon and software technologies, has raised $110 million in Series A financing, bringing its total valuation to more than $1 billion. The round was led by Seligman Ventures, with participation from new investors Capricorn Investment Group and Prosperity7 Ventures, as well as existing investors including Mayfield, Maverick Silicon, MARA, Premji Invest, Samsung Catalyst Fund, and StepStone Group.</p>
<p>Velaura is addressing two of the biggest growth opportunities emerging from the AI megatrend: ultra-low-power compute and Physical AI. Artificial intelligence is increasingly constrained not by the demand for compute, but by the electrical power required to support it. Hyperscalers are investing hundreds of billions of dollars in AI data centers with long lead times on power availability for deployment. Also, as Physical AI with intelligent robots, drones, and autonomous systems move toward mainstream deployment under strict power and thermal limits, energy-efficient computing with purpose-built solutions has become one of the industry’s defining challenges.</p>
<p>The new capital will accelerate the development and commercialization of Velaura&#8217;s AI compute portfolio, including its recently announced <a href="https://cts.businesswire.com/ct/CT?id=smartlink&;url=https%3A%2F%2Fwww.prnewswire.com%2Fnews-releases%2Fvelaura-ai-unveils-silicon-design-and-ip-platform-enabling-up-to-2x-lower-power-for-ai-accelerators-302723573.html%3Ftc%3Deml_cleartime&;esheet=54590800&;newsitemid=20260818925932&;lan=en-US&;anchor=Titan+Core%26%238482%3B&;index=2&;md5=74d4723fa1cd4fd1436a5469d91618d8" target="_blank" rel="nofollow noopener" shape="rect"><b>Titan Core</b></a> silicon platform. It will also support the expansion of the company’s engineering and customer-facing teams with deepening collaborations with strategic partners and customers developing next-generation AI infrastructure and Physical AI solutions.</p>
<p>The company&#8217;s leadership team combines decades of experience delivering many of the semiconductor industry&#8217;s leading high-performance and low-power platforms. Velaura brings together executives and engineers from Apple, NVIDIA, Google, Qualcomm, and Marvell, along with leaders who have built and scaled multiple semiconductor companies and shipped billions of devices.</p>
<p>Velaura’s Titan Core™, proprietary digital chip IP and design platform, delivers a 2-4x improvement in performance per watt for mathematical operations in AI accelerators while maintaining performance. The underlying technology has been validated at commercial scale and deployed in more than 30 million ASICs in leading semiconductor process nodes, demonstrating world-class manufacturing yield and reliability. The company is applying this expertise across AI accelerators while extending the ultra-low-power architecture to Physical AI, including intelligent robots, drones, and other embodied AI systems.</p>
<p><i>“Every advance in AI, from reasoning models to embodied intelligence, creates demand for more compute, and ultimately more power,” said <b>Rajiv Khemani, Co-founder and CEO of Velaura AI</b>. “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.”</i></p>
<p><i>“AI infrastructure is increasingly constrained by the cost and complexity of delivering more compute,” said <b>Patrick Moorhead, Founder, CEO and Chief Analyst at Moor Insights &; Strategy</b>. “Velaura AI’s approach has the potential to improve performance per watt in ways that could reduce total cost of ownership, ease thermal limitations, and enable more AI capacity within existing infrastructure. Those are meaningful advantages for customers seeking to scale AI from hyperscale data centers to autonomous systems.”</i></p>
<p><i>“Physical AI represents one of the next major frontiers for AI, and it will require a fundamentally different approach to compute centered on extreme power efficiency,” said <b>Umesh Padval, Managing Partner at Seligman Ventures</b>. “Velaura is our first investment in Physical AI, reflecting our thesis-driven approach to backing category-defining technology companies. Rajiv Khemani, Manu Gulati and the team bring together proven low-power silicon expertise, deep software and systems experience, and technology that has already been deployed in more than 30 million production ASICs. That combination, together with the rapidly expanding opportunity across Physical AI and hyperscale AI infrastructure, gave us strong conviction to lead this investment.”</i></p>

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