India-linked deep-tech startup optoML has raised $1.8 million in a Pre-Series A funding round, marking a significant step forward in the rapidly evolving semiconductor and AI hardware ecosystem. The round was led by venture capital firms Bluehill.VC and a99, both known for backing deep-technology ventures.
The fresh capital infusion comes at a time when global demand for AI-optimised hardware is surging. As artificial intelligence applications expand across industries—from data centres to edge devices—the need for energy-efficient and high-performance chips has become more critical than ever. OptoML is positioning itself to address exactly this gap with its next-generation chip architecture.
Founded by Saravana Maruthamuthu, optoML operates as a fabless semiconductor startup focused on building advanced analog-in-memory compute architectures integrated with optical interconnects. This innovative design aims to significantly reduce energy consumption and latency compared to traditional digital accelerators. The company claims its system-on-chip (SoC) architecture can deliver up to 50 times higher energy efficiency, which could be a game-changer for AI workloads that require massive computational power.
optoML Expands Product and Engineering Team
The company plans to use the newly raised funds to expand its engineering team and accelerate the development of upcoming chip generations. A major milestone already achieved by optoML is the successful completion of a 12-nanometre tape-out with TSMC. In semiconductor terms, tape-out refers to the final stage of chip design before it goes into fabrication, making it a crucial validation step in the product development cycle.
This milestone demonstrates that optoML’s architecture has moved beyond theoretical research and into practical implementation. With the tape-out completed, the startup is now progressing towards testing, validation, and eventual commercial deployment.
Investors have expressed confidence in optoML’s ability to tackle some of the biggest bottlenecks in AI infrastructure — including energy efficiency, latency, and bandwidth constraints. As AI models grow larger and more complex, traditional chip architectures often struggle to keep pace without consuming enormous amounts of power. OptoML’s analog-in-memory and optical interconnect approach seeks to directly address these limitations.
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Boost to India’s Growing Semiconductor Ambitions
While headquartered in Singapore, optoML maintains strong development connections with Bengaluru, reflecting India’s expanding footprint in global semiconductor design. The company has also partnered with Kaynes Semiconductor for assembly and testing once wafers arrive from fabrication units. This collaboration bridges international chip manufacturing capabilities with India’s electronics manufacturing ecosystem.
The funding round underscores rising investor interest in semiconductor and AI hardware startups with Indian roots or operations. As the Indian government pushes for greater self-reliance in chip manufacturing and design under various semiconductor incentive schemes, startups like optoML represent the kind of high-tech innovation the ecosystem aims to nurture.
The Road Ahead for optoML
With fresh capital, strategic investor backing, and a validated chip design milestone, optoML is now preparing for the next phase of growth. The focus will likely remain on advancing product development, strengthening industry partnerships, and moving closer to commercial deployment of its energy-efficient AI chips.
As artificial intelligence continues to penetrate sectors such as healthcare, automotive, fintech, and enterprise software, demand for specialised compute hardware is expected to rise sharply. In this competitive yet opportunity-rich landscape, optoML’s success could contribute meaningfully to the broader deep-tech and semiconductor narrative emerging from India and its global diaspora.
The Pre-Series A round may be relatively modest in size, but for a semiconductor startup operating in a capital-intensive industry, it signals strong early-stage confidence and technological validation. Industry observers will be watching closely to see how optoML converts this momentum into scalable commercial success in the coming years.