1929 Design n° 505 Confronta

Built by Alexander Robertson & Sons of Sandbank in Scotland in 1929, JULIETTE is a 22.4-metre classic sailing yacht designed by the renowned G.L. Watson Office (Design n° 505 A). This distinguished gaff cutter represents one of the last of her kind built in Scotland, combining elegant proportions with proven seaworthiness and a strong competition pedigree in international classic yacht racing.

JULIETTE offers practical comfort and generous volumes for her era. The yacht accommodates six guests across three double cabins in the original layout, with interiors finished in varnished mahogany that was authentically restored to period specifications in 1992. The original teak deck—now more than 90 years old—remains largely intact and is fastened directly to the beams, reflecting the quality of her construction. Key systems include a Gardner 6-cylinder auxiliary engine with fresh water cooling, a 400-litre fuel tank (refurbished in 2020), and a substantial anchor setup with two 100-metre chains and a powerful 3500W Lofrans windlass. Modern handling aids include Barient self-tailing winches (three electric) and furling systems for the mainsail, genoa and staysail.

This yacht appeals to owners who value classic sailing character, strong construction heritage, and the ability to participate confidently in classic yacht racing and cruising events. The solid single-piece teak keel with 16 tonnes of lead ballast, combined with her proven design and meticulous maintenance history, provides the reassurance of a well-founded platform for traditional sailing. JULIETTE suits buyers seeking an authentic classic with manageable size, active sailing credentials, and the documented care typical of respected classic yachts.

Bella Yacht assists buyers throughout the acquisition process, from availability checks and yacht analysis to negotiation strategy, survey coordination, documentation, refit advice, crew, delivery and post-purchase support. Our role is to help clients evaluate this yacht with clarity, compare it with relevant alternatives and secure the best possible conditions.