Artificial Intelligence for the Materials Testing Laboratory

Data management platform LabV now with AI-based digital lab assistant

artifical intelligence in the materials testing laboratory

Munich, Germany, 31st of January 2024: The Digital Assistant in the material testing laboratory is now a reality. LabV has created the first data platform that gives test labs easy access to artificial intelligence (AI).

LabV’s digital assistant supports the lab in its daily work and simplifies the handling of complex data sets. Labs can gain insights from previously inaccessible data without the need for programming skills or manually trawling through spreadsheets. The natural language processing is similar to ChatGPT, allowing the lab to gain new insights into their data world with simple commands.

Depending on the lab and industry, there are a variety of individual scenarios in which the lab can use the Digital Assistant. For example, the lab can easily generate visualizations of a quality control chart or individual measurements over long periods of time at the touch of a button. This saves time and eliminates the need for manual data searches to identify trends, deviations or anomalies. Another application is the testing of correlations between different laboratory parameters, such as complex correlations in battery production or between viscosity and gloss level in  paint formulation development.

In the background, the data stored in LabV and the artificial intelligence are backed by a localized IT infrastructure in Germany to ensure maximum security.

“Artificial intelligence is not a gimmick. Laboratories can identify previously unrecognized correlations and make their data accessible in an intuitive way.” 
Dr. Stefan Thomas, CEO of LabV. 
Dr Stefan Thomas Ceo at LabV

“Artificial intelligence is not a gimmick. Laboratories can identify previously unrecognized correlations and make their data accessible in an intuitive way,” says Dr. Stefan Thomas, CEO of LabV. “More insight means more knowledge, which leads to higher productivity in quality assurance, process and material development. The use of AI with LabV will therefore be an important competitive advantage for our customers in the future.”

Unlike traditional laboratory software such as LIMS or CAQ systems, LabV effortlessly integrates all relevant data sources, from the chemical, physical and mechanical testing equipment in the laboratory to the company’s existing IT infrastructure, such as an ERP or MES. With such a comprehensive database, an AI-enabled data infrastructure is created. “Only when all the data has been collected and made available to artificial intelligence can it be effectively utilized, whether in battery manufacturing, polymer and metal processing, or the coatings industry.

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