SenseSemi Raises ₹25 Crore Seed Funding to Build Ultra-Low Power Edge AI Chips for IoT, Automotive, and Medical Devices
The semiconductor company SenseSemi Technologies which is located in Bengaluru and operates without its own fabrication facilities has secured seed funding of ₹25 crore (approximately $2.75 million). This funding was primarily sourced from Piper Serica, the lead investor.
Additionally, LetsVenture Angel Fund, Sun Icon Ventures, MyAsiaVC, Whitepine Investments, and Jain Oncor were also part of this investment round. In addition to that, there were contributions from the angel investors REAN Foundation, Niraj Shah, and Deepak Khanna, as stated by the startup.
Where the money will go
The newly acquired capital according to SenseSemi will be utilized to accelerate product development, particularly in the following areas:
- Chip tape-outs (transitioning chip designs to manufacturing)
- Creating reference designs that quicken partners’ adoption of the chips
- Building a larger engineering team
- Collaborating with device makers and original design manufacturers (ODMs).
What SenseSemi is building
SenseSemi was established in 2014 by the duo of Vijay Muktamath and Namit Varma. The startup, which is recognized by DLI, is working towards creating DLI certified integrated edge AI silicon specifically for industrial IoT, automotive, and medical device applications, and is a fabless semiconductor company approved by the DLI.
The company is developing highly efficient SoCs with a power consumption of only 10mW or less that can perform AI inferencing, wireless communication and analog signal processing all at the same time.
The typical usage scenarios of such a cutting-edge integration would be for applications that are demanding in terms of on-device intelligence, long battery life, and uninterrupted performance without the need for heavy reliance on cloud connectivity.
Analog AI inference for extreme power efficiency
One of SenseSemi’s focus areas is an analog AI inference processor, designed to reduce power consumption even further for battery-driven and implantable devices. The startup says running inference in the analog domain could help achieve multi-year battery life while keeping the device responsive and reliable.
Key use cases across sectors
Chips made by SenseSemi are aimed at real-world deployment to various industries. The company presented potential applications comprising:
- Industrial IoT: Predictive maintenance, vision-based quality checks, monitoring of the environment
- Automotive: Multi-sensor ADAS, driver monitoring, predictive diagnostics
- Medical devices: Monitoring of the heart, stimulation of the brain, delivery of smart drugs
Competitive landscape
SenseSemi is making a move into a rapidly expanding and fierce market. It mentioned companies like Netrasemi, Hrdwyr, Edgecortix, and Blumind as rivals in the same line of edge AI hardware.
Bottom line: SenseSemi, with a seed fund of ₹25 crores, is planning to speed up chip development and forge partnerships as it is setting up edge AI silicon that consumes so little power that it is suitable for industrial, automotive, and even medical-grade devices.
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