SixSense offers an AI-powered platform that converts raw production data—defect images and equipment signals—into real-time insights for semiconductor fabs. The platform delivers defect detection, root-cause analysis, and failure prediction and is designed for process engineers to deploy models in under two days without coding. SixSense targets large chipmakers including foundries, OSATs, and IDMs and is already used by customers such as GlobalFoundries and JCET. Its system has processed more than 100 million chips and customers report up to 30% faster production cycles, a 1–2% boost in yield, and a 90% reduction in manual inspection work. The solution is compatible with inspection equipment covering over 60% of the global market. Founded by Akanksha Jagwani and Avni Agarwal, the company is expanding from fabs in Singapore, Malaysia, Taiwan, and Israel into the U.S. SixSense provides a no-code computer-vision platform that builds, monitors, and maintains AI models to detect manufacturing defects at scale. Its software scans millions of products at high speed and is used by large multinational semiconductor customers to make manual inspection more efficient and consistent. The platform includes built-in explainability so factory engineers can understand why defects occur and increasingly predict equipment anomalies before they become product defects. SixSense serves semiconductor manufacturers and emphasizes high-throughput defect classification across factories. The company plans to use new funding to scale its team across research and development, customer success, and sales to support growth. SixSense was founded in 2018 and operates out of Singapore and India.

Total raised

$11M

Funding rounds

2

Latest round

Series A

Latest activity

Aug 2025