Leucite provides tailored, domain-embedded models to accelerate root cause analysis, tighten process control, achieve target material properties faster, and more.
ML must be grounded in the physical reality of material manufacturing. No off-the-shelf AI.
Processes, legacy systems, and teams are unique to you. We tailor our offer to your needs.
Leucite revealed key trends in manufacturing data, linked process parameters to specific material properties, discovered the process controls most crucial to success, and suggested process optimization.
Examples: defect reduction, yield optimization, process control, material R&D, process scale-up.
Relevant data only, across systems and sites including Excel, Access, enterprise software, SQL, historians, etc.
Critical cleaning and curation, strongly guided by industry experience. Data engineering as needed for ML.
Identifying trends, critical variables, linear correlations. Determining physical anchors for ML models.
Library of ML algorithms and relationships. Identifying critical parameters & verifying model output.
Share model insights through dashboard. Achieve proactive process control and improved accuracy with iterations.
Crystal growth expert with over a decade of industrial and academic research experience in crystal production, process engineering, analysis, manufacturing, coding, automation, and new product development.
Share what you’re building and what you’re working with, we’ll take it from there.