Walliance launches 'Landlord' to earn money on rentals (and becomes AI-driven)

Walliance bets on crowdfunding in rentals. During the presentation, in Milan, of the new Report 2023 on Real Estate Crowdfunding, in collaboration with the Politecnico di Milano, Walliance - the platform specialising in online real estate investments - will officially illustrate the launch of Landlord. This is an investment proposal that allows investors to access the market for residential income property. At the same time, Walliance will also unveil the integration of artificial intelligence into its business processes, a strategic choice designed to further enhance the user experience and operational efficiency of the platform.

Landlord will be officially available from the first quarter of 2025, and it will soon be possible to join the waiting list. The offerings are designed to offer annual returns of between 5% and 8%, leveraging the profits generated by the leases. The assets will be fully owned by the investment community, ensuring debt-free management and minimising the associated risks. Investors will be able to select the units in which they wish to invest, based on profitability criteria and personal preferences, by subscribing to one or more investment units, starting at EUR 500. Returns will be credited periodically and directly to the investor's account, who will also have the option of selling his or her units at a later date, according to his or her needs..

The simple and intuitive investment process, which already characterises the Walliance platform, will remain unchanged, allowing investors to create a portfolio of income properties in a fully digital way, thus becoming real 'landlords'.

Walliance also announces the integration of artificial intelligence into its business processes, with the aim of improving operational efficiency and offering added value to investors. Currently, AI is already being used to optimise various business activities, improving internal efficiency through automation and supporting the team in managing day-to-day operations.

A significant step is thebeta-testing of advanced AI algorithms for evaluating investment offers. These algorithms will enable more accurate and timely assessments of real estate opportunities, increasing the ability to identify and propose projects with the best return potential for investors.