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Our approach to materials information is not a table of numbers but can be a journey from substances through processing, use and also recycling. This opens a wide range of options to create and enrich knowledge that can make better, more responsible products.
Available on AWS, Microsoft Azure, and Google Cloud in over 60 global cloud regions. Plus, can be installed on secure cloud environments. The solution is not constrained by SQLserver and provides a rich definition of properties and material state transitions.
The platform supports composite databases that enable all or part of the materials data to be held in specific geographic locations or only to be accessed by engineers from specific areas or clearances. The structure of the material allows for segments of the properties, documents or references to be held in separate shards of the platform for security or efficiency.
Combining a descriptive taxonomy and context definition of materials enables intelligent assumptions to be applied. Open access to other sparse data or neural network models to enable your code to run on your data and the decision making recorded.
The compliance decisions are based on application of regulations from the rules model that contain the regulatory information plus an understanding of the industry impacts and substance quantities to make valid judgments faster.
Designed to enable large data from process and test equipment to be streamed or managed with AI at the edge models. With the goal to extract critical insight to material and process performance. Using the latest cloud big data technology on the platforms from aws cloud data centers and microsoft azure.
Native Excel data object to allow real-time, secure access to engineers favourite tool. Minimising out of date or uncontrolled data, whilst providing richer calculation and graphing options.
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