Our $110M Series A was featured in @SemiEngineering's roundup of notable industry funding rounds, reflecting the growing importance of purpose-built compute for Physical AI and ultra-low-power compute for AI data centers. We’re proud to be featured, a testament to the technology and culture we’re building here at @Velaura_AI. Read the full roundup for more on our Series A funding: semiengineering.com/startup-…

We’ve refreshed our website to better reflect @Velaura_AI’s vision, the technology we’re building, and the deep industry expertise behind it. With a new look and expanded content, the site highlights how we’re addressing two major AI megatrends: Physical AI and ultra-low-power compute for AI data centers. Explore how our purpose-built Physical AI SoC is designed for the next generation of intelligent robots, drones, and autonomous systems, as well as how our Titan Core™ solution addresses the data center power challenge with patented technology that reduces power consumption for arithmetic operations in AI accelerators by 2–4x. Backed by decades of semiconductor leadership experience and underlying technology proven at commercial scale with over 30 million ASICs deployed, Velaura AI is bringing proven silicon innovation to the next generation of AI compute. Explore our refreshed website: velaura.ai/

Velaura AI Co-founder and President Sanjay Gupta joined Richard Nass on @embedded_comp's Embedded Executive Podcast to discuss two major opportunities shaping AI: ultra-low-power compute and Physical AI. The conversation explores what’s required from an IP and design perspective to reduce AI compute power consumption without compromising performance or reliability. Tune in to hear Sanjay’s perspective on these opportunities and what’s ahead for @Velaura_AI. Full recording: embeddedcomputing.com/techno…

The opportunity around AI infrastructure and its rapid trajectory is undeniable. From purpose-built silicon that enables autonomous Physical AI applications to greater power efficiency in hyperscale data centers, advances in infrastructure are laying the groundwork for greater autonomy, productivity, and intelligence. That momentum is attracting investment. Our partners at Seligman Ventures have doubled their deployable capital to $1 billion, expanding their capacity to support companies tackling AI’s most pressing infrastructure challenges. Congratulations to the Seligman team on this milestone, and thank you for your continued confidence in @Velaura_AI and the future we’re building together. Learn more about the news here: businesswire.com/news/home/2…

80% of companies expect to use Physical AI in some capacity within the next two years, according to @Deloitte. That’s a 38% growth rate from today. Physical AI's productivity and operational potential are clear, but it brings new compute challenges that must be solved for safe, secure, widespread deployment. Building reliable, symbiotic physical AI applications starts with purpose-built silicon that delivers high performance per watt, high bandwidth, and low latency. This is key to Physical AI reaching its full potential. Check out the full report here: deloitte.com/us/en/what-we-d…

Velaura AI welcomes Vishal Bhargava as Vice President of Engineering for our India team. Vishal brings nearly 30 years of CPU design, silicon development, and engineering leadership experience from @intel, where he most recently served as Vice President of All Cores Engineering and led a 500+ person organization in India. His deep technical expertise and leadership will be an important addition as we expand in India and advance ultra-low-power compute for data centers and purpose-built compute for Physical AI. Please join us in welcoming Vishal to @Velaura_AI.

We’re building the team to take on some of the most important challenges in AI, from power efficiency in hyperscale data centers to the requirements of intelligent systems operating in the physical world. Explore open roles and join us: jobs.lever.co/velaura

Myth: Reducing power in battery constrained Physical AI applications means sacrificing performance. Reality: Physical AI demands a different approach to compute, one designed to deliver the performance autonomous systems require within tight power and thermal constraints. But power is only one part of the challenge. Physical AI compute also needs to address latency, memory, and safety to support increasingly capable robots and drones operating in the physical world. For @Velaura_AI, that means rethinking the compute architecture itself to meet those demands together, not in isolation.

As @Velaura_AI works to evolve compute for the next era of AI, we’re excited to bring our technology, vision, and mission to a broader audience with @racepointglobal as our partner. Read more about the work we’ll be doing together here: businesswire.com/news/home/2…

At @Velaura_AI, we’re building breakthrough technology to address one of the defining constraints on the next era of AI: power. As our CEO, Rajiv Khemani, shares, meeting the growing demand for compute will require new approaches across hyperscale data centers and Physical AI systems. If you are eager to solve meaningful problems and make an outsized impact, join us in working on one of computing’s most consequential challenges. Explore open roles: jobs.lever.co/velaura/

Few companies are positioned to address AI power consumption across data center and Physical AI applications, and @Velaura_AI is one of them. @Velaura_AI co-founder and president Sanjay Gupta spoke with Max Maxfield of EE Journal about Velaura’s patented ultra-low-power technology, our engagements with hyperscalers, and the growing need to dramatically reduce power for AI compute. Read the full piece on Velaura’s technology, strategic vision, and approach to powering AI from hyperscale data centers to Physical AI systems: eejournal.com/article/new-se…

Great to see the @Velaura_AI India team spending time together outside the office. Team dinners like this are a great opportunity to connect, catch up, and enjoy time together beyond the day to day. Building strong teams and a collaborative culture is an important part of how we work at @Velaura_AI, wherever our teams are based. #VelauraAI #IndiaTeam #LifeAtVelaura

We’re excited to welcome Niken Jariwala as AI Systems Architect at @Velaura_AI. Niken brings nearly two decades of experience spanning AI accelerator architecture, SoC design, CPU architecture, RTL development, and design verification. His career includes leadership and technical roles at Persimmons AI, Analog Devices, Flex Logix Technologies, @intel, @Synopsys, and @SanDisk. Previously, he held engineering leadership roles at @ADI_News and @efpga, where he worked on AI and edge inference accelerator SoCs and IP, including hands-on architecture work for tensor processing, inference, and DSP systems. He also led the RTL & Verification team for an AI edge inference SoC through first-silicon success. Niken’s depth of experience across AI hardware, system architecture, and silicon implementation will be instrumental as we continue developing ultra-low-power technology for data center and Physical AI applications. Please join us in welcoming Niken to @Velaura_AI.

At @Velaura_AI, we’re looking for engineers and technical leaders ready to take on the challenges of power efficiency, AI performance, real-time responsiveness, and functional safety. For @Velaura_AI’s Chief Development Officer, Manu Gulati, taking on these challenges starts with building the right team. Explore open roles and join us: jobs.lever.co/velaura/

Thank you to @Nasdaq for recognizing @Velaura_AI's $110M Series A and celebrating this milestone on the @Nasdaq Tower. The financing reflects continued conviction in Velaura’s technology, team, and vision to advance ultra low power compute for data center and Physical AI applications. We’re grateful to our investors, partners, and team for the continued support behind this milestone.

In his interview with Gemma Allen from @theCUBE x @NYSEWired, @Velaura_AI co-founder and president Sanjay Gupta highlighted how Velaura is approaching Physical AI with ultra-low-power silicon and software designed for the constraints of real-world systems. As AI moves into the physical world, robots, drones, and other autonomous systems require a new approach to compute. Power, thermals, and real-time responsiveness become increasingly important as these systems operate in dynamic environments with more intelligence running directly on-device. Watch Sanjay's full interview here: youtube.com/watch?v=tWNRdZ73… Thank you again to @GemmaAllenSays, @bjbaumann2014, @furrier, @NYSEWired, and @thecubetv & @theCUBE for the conversation.

Our $110M Series A financing and valuation exceeding $1B are being celebrated by @NYSE. This milestone reflects conviction in @Velaura_AI's technology and team as we advance ultra-low-power compute across hyperscale data centers and Physical AI. We’re proud to be working alongside the investors, partners, and supporters helping us build on this momentum. Thank you to the @NYSE team.

Check out @Velaura_AI featured in the ‘New Money’ section of the @WSJ Pro for our $110M Series A financing and $1B+ valuation. Beyond mention of our new unicorn valuation, the piece makes note of our ultra-low-power silicon and software technologies for AI data center and physical AI applications. Read the full newsletter here: createsend.com/t/d-3527AA9F8…

Sanjay Gupta, @Velaura_AI's President of Strategy & GTM, is joining @NYSEWired's AI Factory Series live from the New York Stock Exchange today. He’ll sit down with @furrier of @thecubetv & @theCUBE and @bjbaumann2014 of @NYSEWired to talk about where AI compute is headed, the rise of Physical AI, and why ultra-low-power technology is becoming increasingly important as data centers and silicon evolve for the AI era. Tune in live at 8:30 AM PT / 11:30 AM ET and follow @NYSEWired for more. #NYSEWired #theCUBE #SiliconANGLE #VelauraAI

Did you see @velaura_ai during your Bay Area commute down US-101? If not, now’s your chance. Most billboards on 101 promote bigger AI promises, but ours is doing something different. While other billboards scream for more, we’re advocating for less: less power, that is. Velaura AI is advancing ultra low power technology to improve performance per watt across AI data centers and power constrained physical AI applications. If you're driving through the Bay Area on US-101, look up (safely) and find the @velaura_ai billboard for a limited time! #NYSE #VelauraAI #Funding