The fintech startup from Israel Lendai raised $ 35 million as part of a lime round, of which $ 13 million in capital and $ 22 million in debt. The fundraising round was led by Meron Capital and Cardumen Capital, and was attended by Discount Capital, Skywell, Capital Partners, Mindset Ventures and Viola Credit. The company has developed an artificial intelligence-based investment financing platform that allows foreign investors to finance real estate purchases and holdings in the United States, without the need for a credit history or residency in the country.
According to the company, its system allows receipt of financing within 14 days from the start of the process,
One-third of the average transaction funding time for a U.S. citizen. The US foreign real estate investor market is estimated at over $ 1 trillion.
Landai has real estate partners in the United States, Canada, Europe, Australia, Asia and the Middle East. It includes developers, property management companies, realtors, lawyers, accountants and various lenders. And the credit rating of the foreign investor, based on data from its country of origin.In addition, the platform allows foreigners who already own assets in the United States to obtain loans based on the current value of their assets.
Landai was founded by Yair Binyamini, who serves as CEO, Boaz Leviathan, VP of Finance and Credit Management, Erez Derrick, VP of Technology and Tim Mironov, VP of Data Science. The company employs about 30 people in Israel and around the world. Lendai plans to recruit dozens more employees for the company’s offices in Israel, Miami, Toronto and London.
The company plans to expand into additional markets, and provide unique loans for the purchase of apartments and vacation properties, such as AIRBNB and for the purchase of a second home. Blandai also strives to integrate a set of transaction and integration analysis tools with professional service providers, insurance companies and other tools beyond loans, which will help foreign investors expand their business.
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