AI chip startup Velaura AI has crossed the $1 billion valuation mark after it raised $110 million in Series A funding. The new round gives the company more money to develop its chip technology and take its products to more customers.
The deal was led by Seligman Ventures. New investor Capricorn Investment Group also took part. Existing backers Samsung Catalyst Fund, StepStone Group and Maverick Silicon joined the round as well.
The new deal comes at a time when the AI industry needs more computer power than ever. AI models need large data centres with huge numbers of chips. Those systems use a lot of electricity and cost a great deal to operate.
Velaura AI wants to address this problem with chips that use less power. Its goal is simple: help data centres run AI tasks with less energy and lower costs.
A Focus on Low-Power AI Chips
Velaura AI designs low-power chips and software for AI data centres. Its technology also has uses in what the industry calls physical AI.
Physical AI refers to systems that allow machines to understand their surroundings and act in the real world. This can include robots and autonomous systems.
The company believes that the next major stage of AI will need more than better software. It will also need better computer hardware.
AI models have become more capable, but that progress comes with a cost. Larger models need more computing power. More computing power means more chips, more electricity and larger data centres.
Velaura AI wants its technology to help reduce that burden.
Why Power Use Matters
AI data centres can consume huge amounts of electricity. As companies add more AI services, the demand for computer power continues to rise.
This creates a major problem for technology companies. They need more chips to support AI, but more chips also mean higher power costs.
Velaura AI has built its business around this challenge. Its chip designs aim to lower power use and operating costs at AI data centres.
This may become more important as AI use grows. Companies do not only care about how fast a chip can process a task. They also care about how much energy the system needs and how much it costs to run.
A chip that can provide strong performance with less power could therefore offer a clear advantage.
The $110 Million Series A
The $110 million Series A gives Velaura AI a major financial boost.
Seligman Ventures led the round, while Capricorn Investment Group joined as a new investor. Samsung Catalyst Fund, StepStone Group and Maverick Silicon were part of the deal as existing investors.
The company plans to use the new capital to speed up product development and product deployment. It also plans to add more people to its team, with a focus on engineers and staff who work directly with customers.
This shows that Velaura AI is now moving beyond research and product design. The company wants to put its technology into more real-world use.
The Titan Core Platform
Earlier in 2026, Velaura AI announced Titan Core, a chip design platform built to improve efficiency for data centre workloads.
The platform is part of the company’s larger plan to make AI computer systems more efficient.
Chief Executive Rajiv Khemani has said that the next phase of AI will depend on compute economics, not only on better AI models. In simple terms, this means the cost of the computer power behind AI will become as important as the quality of the AI itself.
This is a key point for the company.
AI companies can build stronger models, but those models still need hardware. If the cost of that hardware becomes too high, it can limit how widely the technology can be used.
Velaura AI hopes its chip designs can help solve part of that problem.
Talks With Major Cloud Providers
Velaura AI is also in talks with three of the four largest cloud providers, according to Chief Executive Rajiv Khemani.
He did not name the companies.
These talks could become very important for the startup. Large cloud providers operate some of the biggest data centres in the world. If Velaura AI can secure major contracts with them, its technology could reach a much larger market.
A deal with a major cloud company would also provide strong proof that customers see value in the company’s chip technology.
For now, however, the discussions are not the same as confirmed contracts. The company still needs to turn those talks into actual business deals.
More Than 30 Million Chips Already Deployed
Velaura AI says its technology has already been deployed in more than 30 million chips.
That figure gives the startup an important base as it seeks to grow. It suggests the company has experience with chip technology at a large scale rather than only in small laboratory tests.
For a chip startup, this matters a great deal.
Chip design is difficult and expensive. A company needs strong engineering skills, reliable production partners and software that can work well with its hardware.
The ability to have technology deployed across more than 30 million chips gives Velaura AI a useful track record.
Physical AI Adds Another Market
Velaura AI is not focused only on data centres.
Its technology can also support physical AI applications, such as robotics and autonomous systems.
Robots need computer systems that can process large amounts of information. They may need to understand images, movement, sound and other data before they can make a decision.
Autonomous machines also need efficient hardware because they may operate for long periods without access to large power sources.
Low-power chips could therefore have value in these areas as well.
This gives Velaura AI a possible path into markets beyond traditional AI data centres.
Competition in AI Hardware
Velaura AI enters a highly competitive market.
Large chip companies already serve the AI industry, while many startups are also trying to build special hardware for AI workloads.
The biggest challenge for a smaller company is scale. Established chip firms have more money, larger teams and long relationships with customers.
Velaura AI must show that its technology offers a clear benefit. Lower power use and lower operating costs could become strong advantages if the company can prove those benefits in real customer systems.
The startup will also need reliable supply, strong software support and good customer service as its products reach more users.
Why Investors Backed the Startup
The new funding shows that investors see a large market for more efficient AI hardware.
The AI industry has created strong demand for computer chips. At the same time, companies face pressure to control the cost of AI systems.
Velaura AI sits at the centre of these two trends.
Its focus is not simply on making AI faster. It wants to make AI computer systems more efficient. That could become a major advantage as data centre costs rise.
The involvement of both new and existing investors also gives the company a strong financial base. Seligman Ventures led the round, while Capricorn Investment Group joined for the first time. Samsung Catalyst Fund, StepStone Group and Maverick Silicon continued their support.
What the New Money Will Do
The $110 million will give Velaura AI the resources to move faster.
A large part of the capital will go toward product development. The company also plans to hire more engineers and customer-focused staff.
More engineers can help improve its chip designs and software. More customer staff can help the company work with potential buyers and support existing users.
The company also needs to prepare for larger product deployments. If talks with major cloud providers lead to contracts, Velaura AI may need much greater capacity.
The new capital can help it prepare for that next stage.
A New Stage for Velaura AI
Velaura AI has now joined the group of private startups valued at more than $1 billion.
Its $110 million Series A is a major milestone, but the valuation is only one part of the story.
The bigger question is whether Velaura AI can turn its low-power chip technology into a large and lasting business.
The company already says its technology has reached more than 30 million chips. It is also in talks with three of the four largest cloud providers. Its Titan Core platform gives it another product base for data centre workloads.
The next stage will depend on real customer demand and large-scale use.
The Road Ahead
AI needs more computing power, but that power comes with a growing cost. Data centres need electricity, hardware and large physical systems to support modern AI.
Velaura AI believes better chip design can help reduce that burden.
With $110 million in fresh Series A capital and a valuation above $1 billion, the startup now has the money to push its technology further. Its plans cover AI data centres as well as robotics and autonomous systems.
The company still faces strong competition, and talks with major cloud providers must turn into real deals before they can have a major effect on its business.
For now, however, the new funding marks a major vote of confidence. Investors are betting that Velaura AI can help make the next phase of AI more efficient, less costly and easier to scale.
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