Qualicent Analytics
Semiconductors, Po Box 6364, Santa Clara, California, 95056, United States, 1-10 Employees
Who is QUALICENT ANALYTICS
Qualicent Analytics, based in Silicon Valley, is a leader is applying machine learning (ML) and artificial intelligence (AI) methods for breakthrough reductions in downstream end-point fa...
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Headquarters: Po Box 6364, Santa Clara, California, 95056, United States
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Date Founded: 2011
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Employees: 1-10
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Revenue: Under $1 Million
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Active Tech Stack: See technologies
Industry: Semiconductors
SIC Code: 7389
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Frequently Asked Questions Regarding Qualicent Analytics
Answer: Qualicent Analytics's headquarters are located at Po Box 6364, Santa Clara, California, 95056, United States
Answer: Qualicent Analytics's official website is https://qualicent.net
Answer: Qualicent Analytics's revenue is Under $1 Million
Answer: Qualicent Analytics's SIC: 7389
Answer: Qualicent Analytics has 1-10 employees
Answer: Qualicent Analytics is in Semiconductors
Answer: Qualicent Analytics contact info: Phone number: Website: https://qualicent.net
Answer: Qualicent Analytics, based in Silicon Valley, is a leader is applying machine learning (ML) and artificial intelligence (AI) methods for breakthrough reductions in downstream end-point failure and field failure in automotive, medical devices, aerospace, defense and other verticals where cost of failure is high, where failure can result in death or injury or have national security concerns. We are a recipient of National Science Foundation Award #1621880 - SBIR Phase I: Software with Breakthrough Composite Distance Method for Zero Defects in Advanced Manufacturing Our methods won against three large analytics majors at an on-site head-to-head competition at a large PC Board manufacturer. Our flagship ZeroDefectMiner technology continues to demonstrate success in areas that require risk reduction. Examples of our capability include - 1. accurate prediction of field failures from manufacturing and test data 2. equipment health qualification from tool sensor data (e.g. PM scheduling, post PM qualification) 3. accurate prediction of end-of-line yield fallout from manufacturing process variables Keywords: Zero defects, anomaly detection, model discovery, yield enhancement, DPPM reduction, automotive safe launch, NPI, process variation, productivity.
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