Velaura AI Hits $1 Billion Valuation for Chip Technology That Cuts AI Data Center Power Costs
Velaura AI, a startup building chip technology designed to lower power consumption at AI data centers, was valued at more than $1 billion after raising $110 million in a Series A funding round, according to Reuters' reporting on the deal. The round was led by Seligman Ventures, with new investor Capricorn Investment Group joining existing backers Samsung Catalyst Fund, StepStone Group, and Maverick Silicon.
What Velaura Actually Builds
Velaura develops low-power chips and software technologies targeting two related markets: traditional AI data centers and so-called physical AI applications, including robotics and autonomous systems. Earlier this year, the company announced Titan Core, its proprietary chip design platform built specifically to improve efficiency and reduce power consumption in data center workloads.
Co-founder and CEO Rajiv Khemani framed the company's core thesis directly: "The next era of AI will be defined not only by better models, but also by fundamentally better compute economics."
A Licensing Model Borrowed From Arm
Velaura's business model is notably structured around a per-chip licensing approach rather than manufacturing chips outright. The company charges an upfront fee for its technology, plus a royalty tied to the actual power savings customers achieve, a structure CEO Rajiv Khemani confirmed is similar to Arm's original per-chip licensing model, before Arm eventually began selling its own chips directly, according to The Star's reporting on the deal.
That model already has real commercial traction behind it. Velaura's technology has been deployed in more than 30 million chips, and the company is currently engaged with three of the four largest cloud computing providers as potential customers, though Khemani declined to name them.
Why This Matters for the Industry
Velaura's raise adds to a genuinely notable pattern of specialized AI infrastructure companies attracting significant capital by targeting power efficiency specifically, a cost problem that's becoming as urgent to AI data center operators as raw compute capacity itself, connected directly to the broader energy constraints we've tracked across the AI infrastructure buildout, including our coverage of Lumilens' $900 million raise targeting the physical bottleneck of connecting AI chips together efficiently.
Seligman Ventures managing partner Umesh Padval framed the investment thesis around Velaura's dual exposure, positioned to benefit from both rising power demands at AI data centers and growing demand for energy-efficient computing in physical AI and robotics applications simultaneously.
Why This Matters for Business
For businesses operating or evaluating AI data center infrastructure, power consumption is increasingly a direct cost and capacity constraint, not a secondary concern behind chip availability. Velaura's rapid path to unicorn status signals genuine enterprise demand for solutions that reduce that specific cost, worth watching as a category alongside the broader specialized AI chip investment wave we've tracked this month.
Frequently Asked Questions
What does Velaura AI make?
Velaura AI develops low-power chip design technology and software aimed at reducing power consumption and operating costs at AI data centers, along with applications for robotics and autonomous systems.
How much funding did Velaura AI raise?
Velaura AI raised $110 million in a Series A round led by Seligman Ventures, valuing the company at more than $1 billion.
How does Velaura AI make money?
Velaura charges customers an upfront licensing fee plus a royalty tied to the actual power savings its technology delivers, a structure the company compares to Arm's original per-chip licensing model.
The Fast Version
Velaura AI raised $110 million in a Series A funding round at a valuation exceeding $1 billion, backed by Seligman Ventures, Capricorn Investment Group, Samsung Catalyst Fund, StepStone Group, and Maverick Silicon. The company's chip technology, already deployed in more than 30 million chips, is designed to reduce power consumption and costs at AI data centers and physical AI applications like robotics. Velaura is currently engaged with three of the four largest cloud computing providers as potential customers, using a per-chip licensing model similar to Arm's original approach.
