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Market analysis··1 min read

New AI search service launched for London residential property market

With Oskar, a new AI-powered platform has launched, designed to facilitate London property buyers' access to off-market homes.

AI generatedNew AI search service launched for London residential property market – AI-generated illustrative image
New AI search service launched for London residential property market. Illustrative image generated using artificial intelligence (AI). The image does not depict a real property, person or event and is not a documentary photograph. Labelled in accordance with Article 50(4) of the EU AI Act.

New digital competition for established estate agencies is taking shape in the London residential property market. A former estate agent has launched Oskar, an AI-powered property search platform. The system is specifically tailored to prospective buyers in the British capital and positions itself as a contemporary alternative to traditional buying consultants.

The platform relies on artificial intelligence algorithms to match prospective buyers' individual search criteria precisely with available market supply. This automated analysis is intended to shorten protracted search phases and provide a tailored shortlist of suitable properties.

Focus on discreet off-market stock

A core element of the service is the inclusion of exclusive off-market stock. Participating estate agencies feed in properties that are not advertised on public portals. In doing so, the platform opens up access to the discreet market segment that has traditionally been primarily the preserve of specialised buying agencies.

  • —Direct matching of buyer criteria with London housing stock using artificial intelligence
  • —Inclusion of non-public sales listings from partner estate agencies
  • —Positioning as a technology-driven alternative to traditional buying agencies

Automation in competition with traditional advisors

In the demanding London market segment, purchasing residential property often involves complex research processes. Prospective buyers have historically relied on personal advisors to gain access to pre-vetted off-market opportunities. The new model aims to accelerate this search and selection process through data-driven match rates.

Whether technological tools will ultimately displace or merely complement personal advisory services in London's high-value residential sector remains to be seen. However, the collaboration with existing estate agencies demonstrates that intermediaries are also increasingly seeking additional digital distribution channels for discreet transactions.

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Michael Freitag
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