SixSense
SixSense is an AI platform company providing automated defect inspection and classification solutions for semiconductor manufacturing fabs and OSATs (outsourced semiconductor assembly and test). The platform’s flagship product, AI-ADC (Automated Defect Classification), is a real-time vision engine that analyzes every captured image and classifies suspected defects into hundreds of types with over 99% accuracy and…
Funding snapshot
About
SixSense is an AI platform company providing automated defect inspection and classification solutions for semiconductor manufacturing fabs and OSATs (outsourced semiconductor assembly and test). The platform’s flagship product, AI-ADC (Automated Defect Classification), is a real-time vision engine that analyzes every captured image and classifies suspected defects into hundreds of types with over 99% accuracy and zero escapees, operating at line speed to slash review queues and free clean-room headcount. The Lot Disposition and Root-Cause Analysis module automatically decides pass, hold, rework, or scrap for each lot, correlating classified defects with tool, recipe, and chamber data across hundreds of steps. The Predict AI module forecasts when, where, and what to inspect, enabling proactive adjustments before faults occur. SixSense reports 30% improvement in cycle time, 1% yield improvement, 12% reduction in quality issues, and 90% reduction in man-machine ratio. The company is ISO 27001 certified and serves customers including GlobalFoundries, STATS ChipPAC, Tong Hsing Electronic, Wavetek, and Raytek across Singapore, Taiwan, Malaysia, China, Israel, and the US. Founded in 2018 and headquartered in Singapore, SixSense has raised approximately $12 million in Series A funding. Investors include Surge, SGInnovate, Entrepreneur First, Beenext, FEBE Ventures, and STRIVE.
Business model
Big Data Analytics > Industry Solutions > Heavy Industries > Manufacturing,
Manufacturing Tech > Manufacturing Execution System > Quality Management > Visual Inspection
Institutional investors
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