RAOUL

Metal side table

The metal side table Raoul has essential and rigorous design with beveled marble or glass top embedded in the frame. Its generous size makes it suitable for large living areas.

Our collection of small tables is distinguished by its elegance and the possibility of customization, we offer a wide choice of materials to satisfy even the most demanding tastes.
Custom models can be made to make each piece unique and perfectly integrated into the design.

Would you like more information

about this product?

Metal side table Raoul

Raoul small Tables Collection

The Raoul metal small table collection is available in four distinctive versions. The low center coffee table, oval or round, has generous dimensions and is perfect for large living areas. The high side table, on the other hand, can be placed next to the sofa or used in lounge areas to create a cozy atmosphere. Finally, the small-sized server table features a design specifically designed to surmount sofa seating, offering practicality and functionality in a single piece of furniture.

High attention to detail

The Raoul small table collection is distinguished by a high attention to detail. Every single metal joint is precisely finished, creating a perfect harmony between the different parts. The carefully controlled finish gives the coffee tables an impeccable appearance. The marble or glass top, expertly grafted into the structure, is carefully designed to create an effect of continuity with the metal, with no gaps or breaks. With this attention to detail, Raoul side tables are able to create an elegant and sophisticated atmosphere in any room in which they are placed.

Technical info

Small table 45152: cm. Ø 80 H 40

Small table 45153: cm. Ø 160 H 40

Small table 45157: cm. W 160 D 80 H 40

Server table 45159 cm. W 95 D 50 H 55

Download

We also suggest you to see

Request information

    By clicking on "Send Request" I declare that I have read the information pursuant to Art. 13 Reg (EU) 2016/679 - GDPR for the processing of my personal data.