Accelerate material search by generating hypotheses from laboratory data

What was done

On the AI Tour 2026 page, Microsoft presents Saint-Gobain, "a global player in sustainable construction," which "relys on Microsoft's cloud and l'IA to accelerate its search for new and innovative materials." In a context of decarbonisation, the group "deploys advanced D-IA solutions within its R&D to accelerate the design of its materials and processes, significantly shortening its product development cycles". "Thanks to Microsoft Azure, Saint-Gobain uses historical, structured and reliable laboratory data to generate assumptions, guide targeted experiments, and accelerate the development of its solutions. This work on the data was made possible "in particular via the internal project CURA led with Microsoft's Industry and ISE teams".No pre/after cycle duration or number of formulations tested is published.

Before you start

Tool cited by the source: IA R&D (Saint-Gobain, Azure); other tools cited: IA R&D (Saint-Gobain) and Microsoft Azure. Gather the information the prompt asks for. Strip confidential data that is not needed and check your tool’s access terms. Features and plans can change.

The method, in three steps.

1. 01

   Gather the context

   Gather the information described in the prompt.

2. 02

   Adapt the prompt

   Copy the prompt below, replace the bracketed items, then paste it into the AI assistant you use. The cited tool (IA R&D (Saint-Gobain, Azure)) is not necessarily available to the public..

3. 03

   Reread before using

   Reread the result, correct it if needed and keep the final decision. Caveats are detailed below.

Your starting point.

Replace the bracketed items, then adapt the proposal to your situation. This prompt is written by the iadujour desk It is not a quotation from the source.

Material Lens: Extracts from data or test reports:

1. Proposals 5 assumptions of the tracks to be tested, each justified by a passage of the data provided.
2. Class them out of apparent feasibility, distinguishing what is supported and what is specific.
3. Minimum lists experiences to confirm or reverse each track.
Do not invent any test result.

What deserves your attention

Useful skills

Official skills on the same task, paired by the desk: they are not part of the described case.

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