Velaura AI (formerly Auradine) raises $110M Series A at $1B+ valuation to cut AI's power bill
What's the deal? Velaura AI has raised $110 million in a Series A round that values the chip designer at more than $1 billion. Seligman VenturesDealroom has a profile for this one. Try Dealroom → led the round, with new investors Capricorn Investment GroupDealroom has a profile for this one. Try Dealroom → and Prosperity7 VenturesDealroom has a profile for this one. Try Dealroom → joining existing backers Mayfield, Maverick SiliconDealroom has a profile for this one. Try Dealroom →, MARA, Premji Invest, Samsung Catalyst FundDealroom has a profile for this one. Try Dealroom →, and StepStone Group. The Santa Clara-based company develops ultra-low-power silicon and software for AI data centres and Physical AI systems.
Why now? Velaura says AI is increasingly constrained not by demand for compute, but by the electrical power to support it. Hyperscalers are pouring hundreds of billions into data centres that face long lead times for power availability.
The chronology: This financing is labelled Series A even though the same legal entity raised a $153 million Series C in April 2025 as Auradine. In March 2026, Auradine became Velaura AI following a major restructuring and strategic shift toward ultra-low-power AI compute for cloud, edge, and Physical AI.
The company said its core engineering and silicon technology remained intact, while adding new leadership including Manu GulatiDealroom has a profile for this one. Try Dealroom → as co-founder and chief development officer and Aditya GroverDealroom has a profile for this one. Try Dealroom → as founding advisor.
The product: The capital will accelerate development of Velaura's recently announced Titan Core silicon platform. The 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 deployed in more than 30 million ASICs at commercial scale.
What's the endgame? Velaura is targeting two markets: hyperscale data centres and Physical AI — robots, drones, and autonomous systems that operate under tighter energy and thermal budgets. The company says it is already engaged with multiple hyperscalers and will use the funds to expand its engineering and customer-facing teams.
Velaura's leadership brings together executives and engineers from Apple, NVIDIA, GoogleDealroom has a profile for this one. Try Dealroom →, QualcommDealroom has a profile for this one. Try Dealroom →, and MarvellDealroom has a profile for this one. Try Dealroom →, including founders who have built and scaled chip companies and shipped billions of devices.
What could go wrong? The commercial hurdle is proving repeatable, measurable power savings on real customer workloads rather than lab benchmarks. That is the metric data centre operators can underwrite when deciding which chips to deploy at scale.
The signal: When a data centre is power-limited, buyers stop optimising for raw speed and start optimising for compute per watt. "The next era of AI will be defined not only by better models, but also by fundamentally better compute economics," said co-founder and chief executive officer Rajiv Khemani. Efficiency gains can turn fixed facility power into more deployable AI capacity — which is why low-power pitches are drawing venture money.
Read more: Velaura AI · Velaura AI on the rebrand · SiliconANGLE · U.S. Securities and Exchange Commission · Business Wire
Image credit: Velaura AI
