Morphing Machines secures Rs 38.36 crore in Series A round

Fabless semiconductor IP startup Morphing Machines has raised Rs 38.36 crore ($4.32 million) in a Series A funding round led by IAN Alpha Fund.

The round also saw partici[ation from Speciale Invest, IvyCap Ventures, Navam Capital, Golden Sparrow Ventures, IIMA Ventures, and DeVC.

The funds will be used to develop and test Morphing Machines’ first chip, grow its engineering team from 50 to over 90 members, and start pilot projects with data center clients. The company will also begin commercial deployments in India, the US, and Europe.

“Data Centers today demand agility—REDEFINE uniquely adapts to any workload, from AI to analytics, delivering breakthrough efficiency and lower costs for the next era of cloud computing. Our Series A funding will accelerate deployment of REDEFINE into consumer cloud data centers, hyperscalers, and other such use cases where we can offer customers better performance, efficiency, and flexibility while dramatically lowering total cost of ownership,” Deepak Shapeti, cofounder and CEO of Morphing Machines.

Rajnish Kapur, Managing Partner, IAN Alpha Fund, said, “Like a Swiss knife, REDEFINE can dynamically switch between CPU and GPU capacity cores, making it ideal for the diverse, demanding and yet unpredictable workloads of modern applications that are increasingly AI-driven. The timing couldn’t be better: with the rising demands of high-performance computing, data centers, Generative AI, 6G, ADAS etc., the need for scalable AI acceleration is more urgent than ever.”

About Morphing Machines

Founded by Deepak Shapeti, Dr. Ranjani Narayan, and Prof. S.K. Nandy,  Morphing Machines is designing next-generation semiconductors to boost computing performance, efficiency, and scalability. Its flagship REDEFINE manycore processor targets diverse workloads, including AI, data analytics, and high-performance computing, with an emphasis on speed and energy efficiency. 

Over the next 12–24 months, the company aims to complete its first proof-of-silicon, improve its software toolchain, and expand adoption across data centers, AI applications, and enterprise infrastructure.

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