Singapore-based deep tech startup SixSense is transforming semiconductor manufacturing through its AI-powered platform that predicts and detects chip defects in real time, enabling factories to improve yield and reduce inspection times. The company recently secured $8.5 million in Series A funding led by Peak XV Partners’ Surge, with participation from Alpha Intelligence Capital, FEBE, and others, bringing its total funding to approximately $12 million.
Founded in 2018 by CEO Akanksha Jagwani and CTO Avni Agrawal, SixSense addresses a critical gap in the semiconductor industry’s inspection process. Despite the precision required in chip manufacturing, inspection remains largely manual and fragmented. “The burden of using [inspection data] for decision-making still falls on engineers… that’s time-consuming, subjective, and doesn’t scale well with increasing process complexity,” said Agrawal. SixSense’s platform revolutionizes this by offering real-time defect detection, root cause analysis, and failure prediction, allowing process engineers to fine-tune and deploy AI models within two days—without writing any code.
SixSense’s platform is already trusted by industry leaders such as GlobalFoundries and JCET and has analyzed over 100 million chips. Its impact includes accelerating production cycles by 30%, increasing yield by 1-2%, and reducing manual inspection work by 90%. The platform integrates seamlessly with inspection equipment covering more than 60% of the global market and is designed for foundries, OSATs, and IDMs in semiconductor hubs including Singapore, Malaysia, Taiwan, and Israel. Plans for expansion into the U.S. market are underway.
With geopolitical shifts driving increased investment in semiconductor manufacturing, Agrawal sees a significant opportunity. “Many of these new facilities are starting fresh — without legacy systems weighing them down. That makes them far more open to AI-native approaches like ours from day one,” she noted.
SixSense’s innovative approach positions it as a key player in advancing AI-driven efficiencies and precision in semiconductor manufacturing globally.
