Quantisweb the latest advance in adaptive, expert driven Stochastic Approximation Optimization software systems.
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Quantisweb the latest advance in adaptive, expert driven Stochastic Approximation Optimization software systems.
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  • About us
  • The tool
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McGill Racing Team (poster): Aerodynamics MRT-15

McGill Racing Team (poster): Aerodynamics MRT-15

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Testimonials

Quantisweb is the first step towards the truly adaptive design of experiments software solution that is needed in a dynamic world where targets can change faster than some large scale DOE’s can be run and analyzed. This is also the first system that I feel comfortable combining formulation and process inputs and outputs in one set of experiments. William Blasius Manager R&D Polymer Science Foster Corporation
The challenge was to optimize the manufacturing process of a paper product that met our customer’s specifications at lower cost and constant quality. Only 10 experiments were necessary, the software selected a preferred methodology and brought the manufacturing process quickly in the zone of optimality which allowed us to produce our product at constant quality and lower cost. Aline Tétreault Chemist R&D Cascades Canada inc.
I was very sceptical at first but decided to give Quantisweb a try. As far as I was concerned, nothing can replace a researcher’s experience. However, I am delighted with the results. It is user-friendly software; the steps are clear and logical, and the formulas, results and reports are visually well structured, making them easier to analyze. The Quantisweb methodology suggested experiments I never would have attempted intuitively. I certainly learned a few new things. The results confirmed some of my predictions and negated others. The Quantisweb software guides the expert; it does not replace the expert. Cornelia Candrea Group Manager of R&D Felix Compounds
Quantisweb Technologies

Quantisweb Technologies will conceive and develop multi-objectives (targets) and multivariate optimization methodology and software that will shorten development processes, assure quality and reduce costs of industrial production.

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