Currently the most commonly used approach to find new chemical formulations and processing parameters is the use of classical Design of Experiments (DoE) software often in combination with statisticians, data scientists or DoE experts. DoE software is complicated and requires expert knowledge in statistics. This means, if a company is big enough to hire expensive DoE experts, researchers have to book slots with the limited number of available DoE specialists which leads to bottlenecks in the R&D process of many industrial companies. Most SMEs won’t even be able to effort DoE experts, which forces them to use less efficient research methods like one-factor-at-a-time (OFAT) or grid optimization.
Exponential Technologies Ltd. (xT) was founded in 2019 by 3 co-founders Pavel Cacivkin, Matthias Kaiser and Girts Smelters to address these challenges.
xT SAAM automates this process by combining classical DoE methods with novel AI algorithms. This allows domain experts and laboratory personnel to run experiments without the need of DoE experts in a fast and efficient manner. Data scientists and DoE experts can then concentrate on high level data analysis using our integrated data science tool set. Compared to other techniques xT SAAM finds satisfactory results with less samples required, which additionally reduces R&D time and cost.
With their partner Evonik Industries, xT could show strong results in the field of chemical formulation. Projects in the field of production anomaly management, biotech and additive manufacturing all lead to astonishing results, which shows the versatility of their software solution.
To learn more about Exponential Technologies, visit their website https://www.x-t.ai/ or contact matthias.kaiser@x-t.ai
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