Jul. 31, 2025 –
A Singapore-based deep tech startup called SixSense has developed an AI-powered platform that helps semiconductor manufacturers predict and detect potential chip defects on production lines in real time.
It has raised $8.5 million in Series A bringing its total funding to around $12 million. The round was led by Peak XV’s Surge (formerly Sequoia India & SEA), with participation from Alpha Intelligence Capital, FEBE, and others.
Founded in 2018 by engineers Akanksha Jagwani (CEO) and Avni Agrawal (CTO), SixSense aims to address a fundamental challenge in semiconductor manufacturing: converting raw production data, from defect images to equipment signals, into real-time insights that help factories prevent quality issues and improve yield.
Despite the sheer volume of data generated on the fab floor, what stood out to the co-founders was a surprising lack of real-time intelligence.
Akanksha brings a deep understanding of manufacturing, quality control, and software automation through her experience building automation solutions for manufacturers like Hyundai Motors and GE and led product development at startups like Embibe. Agarwal adds technical experience from her time at Visa, where she built large-scale data analytics systems, some of which were later protected as trade secrets. A skilled coder with a strong background in mathematics, she had long been interested in applying AI to traditional industries beyond fintech.