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HrdWyr Raises $13 Million Series A to Build Next-Gen AI-native Chips to Accelerate the Age of Physical AI
Ideaspring Capital leads the round, with participation from Singularity AMC, Avatar Growth Capital, and seed investor Persistent Systems HrdWyr today announced the close of its $13 million Series A funding round, led by Ideaspring Capital, with participation from Singularity AMC, Avatar Growth Capital, and Persistent Systems. The funding will accelerate the development of the company's AI-native System-on-Chip (AISoC) products and expand customer engagements across key global markets. HrdWyr is redefining semiconductor design for an AI-driven world. The company engineers proprietary, AI-native chips from the ground up, built on the conviction that conventional, general-purpose architectures can no longer meet today's data-intensive demands at the edge. HrdWyr's AISoCs are purpose-built for specific industries, enabling intelligent edge processing, superior power efficiency, minimal latency, and streamlined system design. At the core is HrdWyr's vision of True Edge Autonomy (TEA), anchored by an agentic AI stack engineered with Reinforced Learning (RL) to unlock the full performance potential of its AISoCs. Commenting on the fundraise, Ramamurthy Sivakumar, Founder and CEO, HrdWyr, said, "The real power of AI will be unlocked as we enter the era of Physical AI, where advanced intelligence seamlessly integrates with real-world systems. This inflection point demands a fundamental rethinking of how computing systems are conceived, architected, and deployed. It calls for a structural reset of the semiconductor stack, with IP and products designed for AI processing from first principles, not as an afterthought. We encapsulate these ideas under the TEA framework. At HrdWyr, we don't just build chips, we partner with our customers to solve domain-specific challenges and enable them to lead this transition to Physical AI, rather than simply adapt to it." Naganand Doraswamy, Managing Partner and Founder, Ideaspring Capital, said, "HrdWyr is building a family of AI chips addressing power management and efficiency across multiple sectors, including white goods, EVs and data centres. This is very important to Ideaspring's thesis of building products from India for the world and also becoming self-reliant in semiconductors. We are proud to partner with Siva, Ganesh, and their team, who have decades of experience in the semiconductor space. We look forward to partnering with them in the endeavour." Dr. Anand Deshpande, Founder, Chairman, and Managing Director, Persistent Systems, said, "AI-led transformation is driving a fundamental shift in how the technology stack is built, with increasing convergence between semiconductors, data and intelligent software systems. Innovations in chip design will play a critical role in enabling next-generation enterprise and industrial applications. Our investment in HrdWyr reflects this direction and aligns with Persistent's focus on AI-led, software-driven engineering. As these innovations scale, we see opportunities to contribute across the value chain, from data and platform engineering to embedded and enterprise systems. We believe HrdWyr is well-positioned to build globally relevant products from India, and we are pleased to support their growth journey." "HrdWyr's focus on intelligent, energy-efficient systems and deep IP ownership, rather than generic compute, is differentiated. Through purpose-built AI-native chips (AISoC), HrdWyr enables Indian OEMs to de-risk supply chains, shorten product launch cycles, strengthen data sovereignty, and unlock new usage intelligence. The team's multi-decade global semiconductor execution experience and strong ecosystem relationships are reflected in their rapid, capital-efficient progress from concept to tape-out and wafer-out, alongside customer design partnerships with boAt. Avatar is excited to partner closely as co-builders," said Rajiv Gupta, Partner, Avatar Growth Capital (AGC). HrdWyr operates as a full-stack, fabless semiconductor product company, differentiated from traditional IP licensing or services-led models. As one of India's early AI-native chip companies with a global focus, it designs end-to-end semiconductor products for global markets. By integrating AI directly into the chip architecture, HrdWyr enables intelligence to operate at the point of data generation, allowing devices to sense, learn, and respond in real time. This approach is particularly relevant for high-volume, cost-sensitive markets where efficiency and responsiveness matter more than raw compute performance. The company recently announced a strategic collaboration with boAt, marking an early validation of its approach in the consumer technology segment. HrdWyr is led by a seasoned team with over 250 years of collective expertise across the semiconductor value chain. The team has been at the forefront of technology transitions spanning nearly four decades, from 1 micron (1000 nm) to almost 1nm today. The team has designed and delivered chips across wireless, networking, compute, automotive, storage, and industrial verticals, with dozens of successful tape-outs and hundreds of products shipped globally. Their work has helped build several multi-billion-dollar businesses. The team brings deep operational experience across India, the US, APAC, Israel, and Europe. This breadth and depth of expertise allow HrdWyr to architect solutions for complex, real-world environments and work closely with customers to deliver tailored, high-impact innovations.
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Startup Semiconductor Startup HrdWyr Advances AI-Native Chip Design with Fresh $13 Million Funding
Semiconductor HrdWyr has raised $13 million in a Series A funding round led by Ideaspring Capital, with participation from Singularity AMC, Avatar Growth Capital, and existing investor Persistent Systems. Investors believe HrdWyr's technology could strengthen India's semiconductor ecosystem while helping build globally competitive products. Naganand Doraswamy, Managing Partner and Founder, Ideaspring Capital, said, "HrdWyr is building a family of AI chips addressing power management and efficiency across multiple sectors, including white goods, EVs, and data centers."
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Indian semiconductor startup HrdWyr has closed a $13 million Series A funding round led by Ideaspring Capital to develop AI-native System-on-Chip products. The company is building purpose-built chips for Physical AI applications across white goods, EVs, and data centers, marking a shift from conventional general-purpose architectures to domain-specific edge intelligence.
HrdWyr, an Indian semiconductor startup, has successfully closed its $13 million Series A funding round, with Ideaspring Capital leading the investment. The round also saw participation from Singularity AMC, Avatar Growth Capital, and existing investor Persistent Systems
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. The capital will accelerate development of the company's AI-native System-on-Chip (AISoC) products and expand customer engagements across key global markets. This funding marks a significant milestone for India's semiconductor industry as the country positions itself to compete in the global chip design landscape.HrdWyr is redefining semiconductor design by engineering proprietary AI-native chips from the ground up, rather than retrofitting conventional architectures. The company's approach stems from the conviction that general-purpose architectures can no longer meet today's data-intensive demands at the edge. Ramamurthy Sivakumar, Founder and CEO of HrdWyr, explained that the era of Physical AI demands "a fundamental rethinking of how computing systems are conceived, architected, and deployed"
1
. The company's AISoCs are purpose-built for specific industries, enabling intelligent edge processing, superior power efficiency, minimal latency, and streamlined system design. At the core of this vision is True Edge Autonomy (TEA), anchored by an agentic AI stack engineered with Reinforced Learning (RL) to unlock the full performance potential of its chips.The semiconductor startup is building a family of AI chips addressing power management and efficiency across multiple sectors, including white goods, EVs, and data centers
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. Naganand Doraswamy, Managing Partner and Founder of Ideaspring Capital, emphasized that this approach aligns with the firm's thesis of building products from India for the world while achieving self-reliance in semiconductors1
. HrdWyr operates as a full-stack, fabless semiconductor product company, differentiated from traditional IP licensing or services-led models. By integrating AI directly into the chip architecture through AI-native chip design, the company enables intelligence to operate at the point of data generation, allowing devices to sense, learn, and respond in real time.Related Stories
HrdWyr recently announced a strategic collaboration with boAt, marking an early validation of its approach in the consumer technology segment
1
. Rajiv Gupta, Partner at Avatar Growth Capital, noted that HrdWyr's focus on intelligent, energy-efficient systems and deep IP ownership sets it apart from generic compute approaches. Through purpose-built AISoC solutions, HrdWyr enables Indian OEMs to de-risk supply chains, shorten product launch cycles, strengthen data sovereignty, and unlock new usage intelligence1
. Dr. Anand Deshpande, Founder and Managing Director of Persistent Systems, highlighted that AI-led transformation is driving convergence between semiconductors, data, and intelligent software systems, with innovations in chip design playing a critical role in enabling next-generation enterprise and industrial applications.HrdWyr is led by a seasoned team with over 250 years of collective expertise across the semiconductor value chain. The team has navigated technology transitions spanning nearly four decades, from 1 micron (1000 nm) to almost 1nm today
1
. This deep experience has enabled rapid, capital-efficient progress from concept to tape-out and wafer-out, alongside customer design partnerships. As one of India's early AI-native chip companies with a global focus, HrdWyr designs end-to-end semiconductor products for global markets, particularly relevant for high-volume, cost-sensitive markets where efficiency and responsiveness matter more than raw compute performance. The company's approach positions it to help customers lead the transition to Physical AI rather than simply adapt to it, with implications for how edge devices will process data and make autonomous decisions in the coming years.Summarized by
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