Sensesemi raises ₹25 crore seed funding to build edge AI chips for IoT and medical devices

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Bengaluru-based fabless semiconductor startup Sensesemi has secured ₹25 crore in seed funding led by Piper Serica to develop edge AI chips that integrate AI inferencing, wireless connectivity, and analog signal processing on a single chip. The startup targets industrial IoT, automotive systems, and medical devices with its ultra-low power consumption architecture.

Sensesemi Secures ₹25 Crore to Advance Edge AI Chips

Bengaluru-based fabless semiconductor startup Sensesemi Technologies has raised ₹25 crore (approximately $2.75 million) in seed funding to accelerate development of its edge AI chips designed for industrial IoT, automotive systems, and medical devices

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. The round was led by Piper Serica, with participation from LetsVenture Angel Fund, Sun Icon Ventures, MyAsiaVC, Whitepine Investments, and Jain Oncor, alongside angel investors including REAN Foundation, Niraj Shah, and Deepak Khanna

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Source: ET

Source: ET

The DLI scheme-approved startup is building integrated system-on-chips (SoCs) that combine AI inferencing, wireless mesh connectivity, and precision analog signal processing on a single chip—a vertical integration approach that addresses power efficiency and real-time performance needs . Vijay Muktamath, founder and CEO of Sensesemi, explained the core value proposition: "There are a lot of sensors in the world today, but there is no intelligence at the sensor node itself. That is where we come in, bringing intelligence directly to the sensor node"

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Source: AIM

Source: AIM

Targeting Ultra-Low Power Consumption for Battery-Operated Devices

Sensesemi's architecture tackles a critical constraint in sectors where most devices are battery-operated. The startup is developing an analog AI inference processor specifically aimed at battery-operated and implantable devices, where power consumption becomes paramount . Namit Varma, co-founder and head of engineering, emphasized the technical advantage: "Analog-domain AI inferencing allows us to achieve dramatic improvements in power efficiency, making multi-year battery life possible without sacrificing intelligence or reliability"

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This approach directly addresses applications such as medical implants, cardiac monitoring, neurostimulation, and industrial sensors that operate under severe constraints on power, size, and cost

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. Muktamath's background in analog and RF design, including work on a retinal implant project in Australia, shaped the company's technical direction toward analog-based solutions for implantable devices .

Chip Tape-Out and Commercial Production Timeline

The startup is planning its first chip tape-out this quarter, a process where the final chip design is sent to a fabrication plant for physical manufacturing

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. Commercial production is targeted for the first quarter of next year, with a second test chip planned for the third quarter of this year

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. The seed funding will support product development, chip tape-outs, team expansion, and partnerships with device makers as Sensesemi moves toward commercial deployments over the next few years .

On the manufacturing side, the company plans to work with TSMC as its fab partner for the first generation of chips, while outsourcing testing and packaging to domestic OSAT players

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. Sensesemi is also exploring partnerships with Kaynes Technologies for testing and packaging in India

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Market Opportunity and India's Semiconductor Ecosystem

The market opportunity appears substantial. Muktamath projects close to 30 billion connected devices globally by 2030, including sensors and other endpoints, with only about 8-10 billion currently having intelligence built in, leaving significant headroom for edge AI adoption

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. The global edge-AI chipset market is projected to reach an annual volume of 5-7 billion units by 2030, driven by large-scale industrial deployments and growing adoption in medical point-of-care systems

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Abhay Agarwal, founder and fund manager from Piper Serica, noted that India's semiconductor market is expected to cross $100 billion by 2030, and that companies with strong chip design capabilities would create long-term value . This represents Muktamath's second attempt at building a fabless startup in India. A decade ago, when he tried to build a wifi chipset startup, it faced severe infrastructure constraints with no OSAT facilities or commercial testing infrastructure available

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. The environment has shifted dramatically: "Today, I can call an OSAT facility and say the chip will arrive in 15 days, and they are ready. That gives me confidence that many more semiconductor startups will emerge, even from tier-II cities," Muktamath said

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