Velaura AI Raises $110M Series A at $1B+ Valuation for Ultra-Low-Power AI Compute

Velaura AI Raises $110 Million Series A at $1 Billion+ Valuation

Santa Clara-based AI compute infrastructure company Velaura AI has raised $110 million in Series A funding, bringing its valuation to more than $1 billion.

The round was led by Seligman Ventures, with participation from new investors Capricorn Investment Group and Prosperity7 Ventures, alongside existing investors including Mayfield, Maverick Silicon, MARA, Premji Invest, Samsung Catalyst Fund, and StepStone Group.

The new capital will support the development and commercialization of Velaura's ultra-low-power AI compute technologies, including its Titan Core silicon platform.

Building Ultra-Low-Power AI Compute

Velaura AI is focused on reducing the energy required to run AI workloads across data centers, edge systems, and Physical AI applications.

The company is developing silicon and software technologies designed to improve computing efficiency as AI infrastructure faces growing power and thermal constraints.

Velaura says its Titan Core platform can deliver a 2-4x improvement in performance per watt for mathematical operations in AI accelerators while maintaining performance.

From Data Centers to Physical AI

Velaura is targeting both hyperscale AI infrastructure and emerging Physical AI applications such as intelligent robots, drones, and autonomous systems.

The company argues that energy efficiency will become increasingly important as AI systems move into environments where power and thermal budgets are much more constrained.

Its technology has reportedly been validated at commercial scale and deployed across more than 30 million ASICs.

An Experienced Semiconductor Team

Velaura AI is led by co-founder and CEO Rajiv Khemani, with a leadership and engineering team that includes veterans from Apple, NVIDIA, Google, Qualcomm, Marvell, and other major semiconductor companies.

The company also appointed Manu Gulati as co-founder and chief development officer. Gulati previously worked across Apple, Google, Qualcomm and NUVIA and is leading Velaura's AI architecture, hardware and software engineering efforts.

Scaling AI Without Scaling Power Consumption

The new funding will help Velaura expand its engineering and customer-facing teams while deepening collaborations with hyperscalers and strategic partners.

As AI infrastructure expands and Physical AI moves toward commercial deployment, Velaura is positioning ultra-low-power compute as a critical layer for scaling AI without allowing electricity and thermal requirements to become the limiting factor.