Work with us to increase yields, stop defect proliferation, and reduce waste. Our solution provides consistent real-time data intelligence combined with years of hands-on technical expertise.
KgINSITE goes beyond standard AI, combining theoretical expertise with machine learning to tackle the inherent challenge of intricate physics-driven processes, complex data sets, and workforce constraints.
KgINSITE uses data to guide material manufacturing, learning from previous runs, predicting possible outcomes, and supporting decision making during and after each manufacturing cycle.
As a result, time for data analysis is minimized and defects, failure, and production waste are significantly reduced.
CRYSTAL GROWTH MACHINE LEARNING SYSTEM, PATENT PENDING
With a mix of academic and industrial crystal growth experience, we can help troubleshoot challenges on a technical and practical level.
In addition, we provide trainings specifically designed to navigate the transition from lab material manufacturing to industrial-scale crystal growth.
Crystal growth expert with over a decade of industrial and academic research experience in crystal production, process engineering, analysis, manufacturing, coding, automation, new product development, and device assembly.
Katie is Adjunct Faculty of Materials Science & Engineering at Case Western Reserve University and is on the Engineering Technology Industry Advisory Board at CSU.
Ph.D. in Chemistry, Duquesne University, M.S. in Materials Science & Engineering and B.S.E in Biomedical Engineering, Case Western Reserve University.
Business leader with more than 20 years of experience in material development and commercialization with responsibilities including strategy, business development and marketing.
Petia is passionate about early stage innovation, connecting great ideas with customer needs. She launched Saint-Gobain Ceramics' first innovation growth fund spearheading the adoption of lean start up frameworks for new venture ideas across the organization.
M.B.A., MIT Sloan. B.S. Mechanical Engineering, Centrale Nantes. Terra.do Fellow.
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