Singapore startup with deep technology called Sixsense He developed the AI powered platform, which helps semiconductors to anticipate and detect potential defects in systems on real -time production lines.
He collected $ 8.5 million in series A, increasing total funds to about $ 12 million. The round was led by Peak XV’s Surge (formerly Sequoia India & Sea), with the participation of Alpha Intelligence Capital, Febe and others.
Established in 2018 by engineers Akanksh Jagwani (CTO) and Avni Agarwal (CEO), Sixsense goals to unravel the basic challenge in the production of semiconductors: transforming raw production data, from defect images to equipment signals, in real time, which help in creating quality problems and improvement of performance.
Despite the amount of knowledge generated on Fab Floor, what distinguished co -founders was a surprising lack of intelligence in real time.
Akanksha provides a deep understanding of production, quality control and software automation through his experience in creating automation solutions for manufacturers similar to Hyundai Motors and GE and LED Product Product in startups similar to EMBIBE. Agarwal adds technical experience from her time in Visa, where she built large data evaluation systems, some of which were later protected as trade secrets. A professional encoder with strong experience in mathematics has long been interested in the use of artificial intelligence to traditional industries outside Fintech.
Together, the duo evaluated the sectors from aviation to motoring before landing on semiconductors. Despite the repute of the semiconductor industry in the field of precision, the control processes remain largely manual and fragmentary, agarwal told TechCrunch. She added that after talking to over 50 engineers it became clear that there was a significant place to modernize quality control.
Fab are now filled with navigation desktops, SPC charts and built -in control systems, but most display only data without further evaluation, said agarwal. “The burden of using it to make decisions is still falling on engineers: [they must] Patterns of stains, test anomalies and trace causes. It is time -consuming, subjective and do not scale well with the increase in the complexity of the process. “
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Sixsense provides engineers with early warnings about solving potential problems before escalating with possibilities similar to detecting defects, evaluation of primary causes and predicting a failure.
Agarwal said that the Sixsense platform is also specially designed to make use of processes by engineers, not scientists from data. “Process engineers can tune models with their own data, implement them in less than two days and trust the results-all without writing one line of the code. This is what the platform makes both powerful and practical.”
The competitive landscape includes internal engineering teams using tools similar to Cognex and Halcon, manufacturers of inspection equipment integrating artificial intelligence with their systems and startups, including landing.Ai and Robovision.
The AI Sixsense platform is already used in the principal manufacturers of semiconductors, similar to Globalfoundries and Jcet, with over 100 million systems processed so far. The founders said that customers have reported as much as 30% of faster production cycles, an increase in performance by 1-2% and 90% reduction of inspection work. The system is compatible with inspection equipment, which covers over 60% of the global market.
“Our target customers are large chip manufacturers-in this foundry, external semiconductor teams and test suppliers (OSats) and integrated device manufacturers (IDMS),” said Agarwal. “We are already working with Fabs in Singapore, Malaysia, Taiwan and Israele, and now we are expanding to the USA”
Geopolitical tensions, especially between the US and China, transform into where systems are created, they drive recent production investments around the world.
“We see Fabs and Osats develop aggressively in Malaysia, Singapore, Vietnam, India and the United States-and for us it is a wind for us