Deepgrid Semi, a chip design and manufacturing startup incubated at T-Hub, is seeking to raise ₹25 crore to advance the development and commercialization of its AI-powered System-on-Chip (SoC) solutions for Advanced Driver Assistance Systems (ADAS). The funding will primarily support the critical tape-out phase and marketing efforts.
The company has already built its core technology and initiated deployments using Field-Programmable Gate Arrays (FPGAs), which currently cost around ₹35,000 per unit. By completing the tape-out process—estimated at roughly $3 million—Deepgrid aims to significantly reduce the cost to approximately ₹3,000 per chipset, making its solution more viable for mass adoption.
To strengthen investor confidence, the startup is focusing on expanding real-world use cases. It has conducted field trials across applications such as humanoid robots, autonomous mobile robots (AMRs), and automated guided vehicles (AGVs) in port environments. At the same time, Deepgrid is in discussions with both domestic and international automotive manufacturers in India to explore further testing and deployment of its ADAS chipsets.
The company plans to complete the tape-out within the next 10 months, subject to successful fundraising. Its growth trajectory will depend on securing investment and demonstrating practical, scalable applications of its technology in real-world scenarios.
