The MetaCause Process Optimizer takes in production or experimental data from a manufacturing process and reports on correlations between settings in the process and the quality of the produced parts.

The analysis contains no domain knowledge and applies advanced pattern recognition techniques, making it much better at recognising patterns than statistical approaches.

Introduction:
		Introduction to MetaCause (3min approx.) Self-paced presentation showing the basic operation of the MetaCause Process Optimizer

Case Studies:
See how MetaCause Studio can help your process by seeing how it has helped others:

		Features	Setting
	1	Generic layout and operation of a MetaCause analysis	Simple Foundry
	2	Combining Discrete and Continuous parameters	Investment Casting
	3	How to include closely monitored parameters and design/process changes.	Precision Sand Casting
	4	Enhance and find out more your process experiments (DoE)	Pressure Die Casting
	5	Optimise the chemistry of an alloy or look to tune a complex (or unknown) process.	Chemical
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Sample Data An example of how to record data in a foundry, a guide to formating data