Quantisweb is the latest advance in adaptive, expert driven Stochastic Approximation Optimization software systems.
With the additions of Decision Theory, Analytical Hierarchy and Optimization, to novel mdDOE mathematics, Quantisweb puts control of experimentation into the hands of investigators.
As the experimenter directs practical input limits, perceived constraints, and desired weighted outputs, the system learns while working through iterations to refine patterns, to yield cost efficient, optimized results quickly.
Quantisweb software is powerful and adaptable enough to be used for radical and incremental innovation, formulation and process development, product and manufacturing optimization, Lean Sigma data mining projects and design optimization.
Quantisweb relieves the investigator of the responsibility of learning new software programs and DOE nuances and lets them focus on what they do best, experimentation and interpretation.
Quantisweb works in a static environment (laboratory) or dynamic environment (real time production), and is quite useful in research & development, product lifecycle management (PLM) and Manufacturing Executions Systems (MES) processes.