AI Chipmaker Sandlogic Eyes $ 30-40 million fundraising at $ 200 million valuation

Bengaluru: Sandlogic, a semiconductor startup, is in early talks to raise $ 30-40 million in series A funding at a $ 200 million valuation, two people who are aware of the matter said. Sandlogic -based Sand Logic is among India’s min chipbuilders aimed at commercial degree Artificial Intelligence (AI) applications. The company has already appointed an investment banker, and domestic and foreign venture capitalists have been approached, one of the two people said on condition of anonymity. The Texas and Bengaluru-based company was founded in 2018 by Kamalakar Devaki, Jesudas Fernandes, Radhika Kanigiri and Ravi Kumar Rayana, and started as a low code/no code platform before designing businesses AI and designing its own prototypes. The low-power Krsna chip is aimed at facilitating AI on the device and has already achieved 22 trillion operations per second (tops). Devaki declined to comment on the financing round. AI Chip businesses have made increasing investor interests this year. While Netrasition in Kerala collected about £ 107 in series A funding led by Zoho and Unicorn India Ventures, Bengaluru Mayutic semiconductors ensured about $ 4.15 million seed money from Endiya Partners and Exfinity. Sandlogic previously collected about $ 3.5 million of high net worth individuals and some angel investors, including Google and AT & T drivers. Exlerate V2 is Sandlogic’s underlying chip design that can be reused and scaled. It is intended to perform AI tasks faster while using less than 2w power, and the company says it will be ready for commercial use by December 2026. Krsna Chip is built on the design and is now in prototyping, with test discs planned for the third quarter of FY27, Devaki said. It is aimed at AI applications such as image, language and sound processing, and is designed for use in small devices without warming up. “These chips can provide more battery life for small devices and then AI algorithms on those devices such as smart watches, infotainment devices in the cars, routers at home, TVs and phones,” Devaki said. Semi-conductor bets rise to investor interests over deep-tech specialists such as special Invest, which closed a £ 600 Crore fund to support early stage depth technology, including AI and semiconductors, and world investors such as Celesta Capital who were active over semiconductor and AI infrastructure bet. Other investors include venture capital (BC) funds such as Endiya Partners, Unicorn India Ventures and 3one4 Capital that actively write seed-to-series A-checks in AI-led start-ups. Under foreign BCs, Celesta Capital remains active in semiconductor and AI infrastructure, while greater multiple BCs such as Peak XV Partners, Accel, Lightspeed and Elevation Capital lead or participate in new AI and Agentic AI rounds this year. Shakti is Sandlogic’s Internal Great Language Model (LLM) built for business use, with versions released to 4 billion parameters and 8 billion parameters going on, according to Devaki. In simple terms, parameters are the turning knobs in an AI model that learns to vote; More parameters generally handle the model more complicated tasks. Sandlogic sold an ‘agent AI’ layer above -of -the -top businesses. “We started giving it to banks and healthcare companies and manufacturing companies,” Devaki said.