Velaura AI Raises $110 Million Series A to Advance the Next Generation of Ultra-Low-Power AI Compute Infrastructure

Company surpasses $1 billion valuation as investors back proven technology designed to address AI's mounting power constraints across data centers and Physical AI

SANTA CLARA, Calif.--(BUSINESS WIRE)--Velaura AI, Inc., an AI compute infrastructure company developing ultra-low-power silicon and software technologies, today announced that it has raised $110 million in Series A financing, bringing its total valuation to more than $1 billion. The round reflects investor conviction in a proven technology foundation, multiple hyperscaler engagements, an experienced leadership team, and a vision for AI compute spanning data centers and Physical AI.

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.

Velaura’s Series A financing to address these growth opportunities 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.

The new capital will accelerate the development and commercialization of Velaura's AI compute portfolio, including its recently announced Titan Core™ 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.

The company's leadership team combines decades of experience delivering many of the semiconductor industry'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.

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.

“Every advance in AI, from reasoning models to embodied intelligence, creates demand for more compute, and ultimately more power,” said Rajiv Khemani, Co-founder and CEO of Velaura AI. “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.”

“AI infrastructure is increasingly constrained by the cost and complexity of delivering more compute,” said Patrick Moorhead, Founder, CEO and Chief Analyst at Moor Insights & Strategy. “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.”

“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 Umesh Padval, Managing Partner at Seligman Ventures. “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.”

“AI’s energy footprint is on track to become one of the most significant infrastructure challenges of this decade,” said Dipender Saluja, Managing Partner of Capricorn’s Technology Impact Funds. “Velaura is attacking that problem at its root - the silicon itself - with technology that has shipped at scale. The combination of measurable efficiency gains and commercial validation, applied to the highest-growth areas of AI, is what we look for.”

“Velaura AI is making ultra-low-power computing practical for Physical AI and dramatically more efficient in the data center - addressing two of the most significant opportunities in AI infrastructure,” said Navin Chaddha, Managing Partner at Mayfield. “As hyperscalers and Physical AI applications demand increasingly energy-efficient, purpose-built solutions, Velaura is developing the silicon and software platform to power both. At Mayfield, we invest in people first. This is our fourth partnership with Rajiv Khemani and our second with Manu Gulati, and we have had the privilege of working with them since Velaura’s inception. We’re excited to support this exceptional team as they build the next generation of energy-efficient AI compute infrastructure.”

About Velaura AI

Velaura AI develops ultra-low power silicon and software technologies that enable the next generation of AI infrastructure. Its solutions are designed for hyperscale data centers and Physical AI applications, including robotics, autonomous systems and embodied intelligence. Headquartered in Silicon Valley, Velaura combines proven semiconductor innovation with deep expertise in architecture, silicon design, and software to fundamentally improve the energy efficiency of AI computing.

For more information, visit www.velaura.ai.