In the arts and cinema sectors, composite materials are proving indispensable thanks to their unique advantages in terms of lightness, strength, and aesthetics.
By combining synthetic fibers and suitable resins, these systems offer ideal solutions for creating sets, architectural elements, sculptures, and design objects.
Their properties make them perfectly suited for various molding and lamination processes and offer varied finishes with a wide choice of texture and color effects.
Fire safety is an essential requirement in public buildings and parks.
Fortunately, there are resin and composite solutions meeting M1 certification standards, which ensure limited fire performance: low smoke emission, absence of propagated flames, and non-toxicity of released gases.
Our formulations comply with French and European regulatory requirements, offering a classification validated by approved laboratories.
Combining high performance and environmental respect is now possible thanks to the ECO ranges; our RESOLTECH Epoxy and PDMfab Polyester solutions offer bio-based systems designed to meet the highest requirements.
Discover ECO systems that retain mechanical and thermal properties comparable to conventional systems while maintaining excellent tensile, flexural, and impact resistance.
We offer a range of decorative solutions capable of reproducing with striking realism the characteristic textures, nuances, and reflections of mineral or metallic materials, such as natural stone or patinated metal.
Formulated to faithfully reproduce the visual depth and authentic rendering of these materials, our solutions are compatible with various application techniques: molding, spraying, or fiberglass reinforcement. They are perfectly suited for restoration, interior design, and architectural decoration projects.
Thanks to a reinforced mineral formulation, these finishes allow for the creation of aesthetically massive surfaces while maintaining great structural lightness. Their dimensional stability and visual rendering make them ideal materials for large-scale sets.
