Julia Bar Table by Royal Stranger

Description

Julia marble table by Royal Stranger Dimensions: width 75cm, depth 75cm and height 105cm Inspired by the femininity and using … more Julia marble table by Royal Stranger Dimensions: width 75cm, depth 75cm and height 105cm Inspired by the femininity and using bold and vibrant color schemes, this collection is meant to be positive and happy, celebrating the inner beauty, elegance and superpower of every Women of the World. This elegant bar table is a luxurious way to add a pit of youngness and fun to any space. Curiosity: The name Julia means “the cute”, “the young”. Materials as pictured: Top Guatemala green marble in polished finish. Tubes Polished brass. Base Handmade and hand painted ceramic pieces (in black and white, red and light blue colors) in matte finish Royal stranger is an exclusive furniture brand determined to bring you the best unique pieces of art and design. Fusing design, art and the best craftsmanship, they strive to deliver the best state of the handmade art furniture. The design team works every day to create meaningful products that represent values such as passion, function, aesthetics and know-how. Values that are meant to represent Royal stranger’s DNA. This dedication is present at all stages of production and the combination of craftsmanship and innovative design contributes to our final purpose: to produce certified high-quality products, made with passion and expertise and using royal materials such as gold leaf, rich woods and high quality lacquers. It was in 2013, as an architects, that Sofia Santos & Rui Santos started to push the boundaries of innovation in several retail design concepts for some of the best stores in Portugal. This will has always been present in their work, and that’s how the brand was born. This piece is attributed to the mentioned designer/maker. It has no attribution mark and no
official proof of authenticity,
however it is well documented in design history. I take full responsibility for any authenticity



issues arising from misattribution less