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Projects

Discover how we help our clients improve their processes and products and improve the competitiveness of their business.

IA4Q

Research and industrialize the implementation of cutting-edge technologies for quality inspection through 19 projects focused on developing AI-based technologies.

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Materials and Testing

We improve the properties of the plastic and achieve a 160º contact angle with water without modifying the production process or adding coatings.

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Materials and Testing

We developed an organic coating based on graphene to improve the hydrophobicity of a plastic with high resistance to abrasion and chemical agents.

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Valorization of textile waste for the manufacture of compact panels. Development of the industrial process for the valorization of these textiles.

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Materials and Testing

We perform several characterizations to know the causes of the breakage of a plastic part used in photocells. We use techniques such as FTIR, TGA or DSC to know the origin of the failure.

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Materials and Testing

We improve plastic surfaces in contact with food through easy to clean coatings to reduce the effort in both time and detergent required.

Potencia

Materials and Testing

Development, design and set-up of tests to objectively and quantitatively characterize paddle blades.

1-Acetone

Materials and Testing

Abrasion, UV, condensation, anti-graffiti and cleaning product tests were necessary to replicate the accelerated aging of our customer's materials.

Acero_sin_antifinger

We designed a method for quantitative testing of anti-fingerprint properties for stainless steels.

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Materials and Testing

We use FIB-SEM and XPS to the characterization of jewelry defects in thin metallic layers and search for the origin of the failure.

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Materials and Testing

We use FIB-SEM, X-rays and surface energy to characterize defects in chromium layers and look for the causes of defects in chromium layers due to changes in the chemicals in their production process.

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We developed the computer vision algorithm based on neural networks for the optical separator, enabling the automatic classification and identification of relevant waste for sorting plants.

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