Netrasemi's A2000 Edge AI Chip Moves to Mass Production

Kerala-based Netrasemi has confirmed its A2000 edge AI system-on-chip, India's first indigenous production-ready AI processor, has completed silicon bring-up and will enter mass production at TSMC's 12nm node in 2026. The chip targets smart cameras, drones, robotics and industrial automation, backed by ₹125 crore in total funding including a Zoho Corporation-led ₹107 crore Series A. Netrasemi is also developing the R1000 AI MCU and A4000 edge AI server chip.

Semicon Hunt -> product-launch -> Netrasemi

2026-07-09

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Netrasemi Confirms India's First Indigenous AI Chip Heading to Mass Production

Netrasemi, a semiconductor startup headquartered in Thiruvananthapuram, Kerala, has confirmed that its A2000 edge AI system-on-chip has successfully completed silicon bring-up and is preparing for mass production at Taiwan Semiconductor Manufacturing Company (TSMC) on its 12-nanometre technology node. The A2000 is described by Netrasemi as India's first indigenous AI SoC to reach production-ready status, representing a milestone in the country's ambition to develop domestically designed chips that are commercially competitive in global markets.


What the A2000 Does

The Netrasemi A2000 is a purpose-built edge AI processor designed for computer vision and inference workloads at the edge, targeting applications including smart cameras and video analytics systems, autonomous drones, industrial robots, and factory automation equipment. The chip is designed to deliver high inference throughput per watt, enabling AI capabilities in battery-powered and thermally constrained edge devices that cannot support the power requirements of high-end GPU-class inference hardware. Target industries include manufacturing, agriculture, smart cities, healthcare diagnostics, and defence surveillance systems.

Why 12nm at TSMC

TSMC's 12nm node offers a balance of performance, power efficiency, and manufacturing maturity that is well-suited to a production-stage AI inference SoC targeting cost-sensitive edge markets. More advanced nodes such as 5nm or 3nm would offer better performance density but at significantly higher per-wafer costs that would make the A2000 uncompetitive in the mid-tier edge AI market segment where Netrasemi is positioning it. The 12nm choice also reflects the realities of yield and supply chain access for a startup placing its first commercial production order at a major foundry.


Funding and Government Support

Netrasemi has raised ₹125 crore in total funding, anchored by a ₹107 crore Series A led by Zoho Corporation and Unicorn India Ventures. The company was also one of the first four startups selected under MeitY's DLI scheme in 2023, receiving ₹15 crore in government support and access to EDA tool subsidies. The combination of DLI scheme participation and a large Series A from Zoho, India's most prominent private technology company, gives Netrasemi a funding profile that is unusual for an Indian semiconductor startup at the chip commercialisation stage.

Product Roadmap

Beyond the A2000, Netrasemi's roadmap includes the R1000, an AI and ML microcontroller unit designed for IoT sensor nodes and embedded inference applications, and the A4000, a higher-performance edge AI server chip targeting workloads such as multi-stream video analytics and edge inference for industrial digital twin applications. Both products are in development with MeitY support under the DLI scheme framework.


What Netrasemi Represents for India

Netrasemi's A2000 is significant not just as a commercial product but as a proof of concept for India's full-stack chip design capability. The company designed the chip entirely from India, holds the IP, owns the product roadmap, and is taking the chip to mass production at one of the world's leading foundries, without relying on a foreign semiconductor partner to supply the core technology. If the A2000 achieves commercial traction in the edge AI market, it will validate the investment thesis for a broader wave of Indian fabless chip companies targeting the global AI hardware market.

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