Real estate Investment technology platform Skyline AI has raised $18m

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Real estate investment technology platform Skyline AI has raised $18m in its Series A led by Sequoia Capital and TLV Partners.

Participation to the round also came from JLL Spark, NYCA Partners, Arbor Ventures and iAngels among others. This equity injection comes just four months after the company closed its $3m seed round, and puts its total funding efforts to $21m.

Founded in 2017, Skyline uses AI and machine learning technology to support the institutional-grade commercial real estate investment space. Its technology has access to a data pool from over 130 different sources, to analyse more than 10,000 different attributes. Through this, it is able to predict the value and future behaviour of any institutional-grade asset within the US.

The platform can detect and exploit market anomalies, identify superior risk-reward investments, and discover untapped value creation opportunities.

Following the investment, Skyline will look to expand the platform integration to include more asset classes. It will also bolster cooperation with commercial real estate investment firms in the US.

Skyline AI co-founder and CEO Guy Zipori said, “Commercial real estate is coming out of the dark ages when it comes to technology. We developed a platform that injects advanced AI directly into the core of the acquisition and ownership process, leveraging the largest data set in the industry to predict the performance of any asset in the US.

“We provide our partners and investors with cutting edge asset analysis in the shortest amount of time, adding value to any commercial real estate investment, on or off the market.”

Earlier in the year, Sequoia Capital launched six new venture and growth investment funds focusing on China, the US and India. The funds are yet to register any capital and a target for them has not been made clear.

Last month, the firm’s China division took part in the $80m Series B funding round of international payments provider Airwallex.

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