Leather S33 Armchairs attributed to Mart Stam for Fasem, 1970, Set of 4

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The 1970s were a period of great innovation in furniture design, and the s33 armchairs by mart stam (1899-1966) for … Read more The 1970s were a period of great innovation in furniture design, and the s33 armchairs by mart stam (1899-1966) for fasem are a perfect example.
these armchairs, with their cantilevered tubular metal structure, embody the essence of modernism and technical ingenuity of the era.
the s33 armchairs are distinguished by their chromed tubular metal frame, which creates a floating effect without traditional rear legs.
this cantilever design, pioneering at the time, offers a unique combination of style and comfort.
the white cowhide leather used for the seat and back adds a touch of luxury and sophistication, while ensuring durability and comfort.
mart stam, an influential designer of the modernist movement, revolutionized furniture design with his designs.
the s33 armchairs are emblematic of its innovative approach, using industrial materials to create pieces that are both functional and aesthetic.
this series of armchairs also reflects the interest of the time in new industrial techniques and materials.
these armchairs are not only design objects, but also witnesses to the evolution of furniture in the 20th century.
they capture the spirit of the 1970s, a period marked by a bold exploration of shapes and materials.
today, mart stam's s33 armchairs are considered iconic pieces, sought after by collectors and design enthusiasts.
in short, the armchairs created for the italian company fasem are a celebration of innovation and modernist design, combining elegance, comfort and technical ingenuity.

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period: 1970

excellent condition.

dimensions:
width: 58 cm
depth: 57 cm
height: 76 cm
seat height: 43.5 cm 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 See less