Real estate investment technology startup Skyline AI Ltd. today said it has raised $18 million in new funding to expand platform integration to include additional asset classes and further cooperation with the leading commercial real estate investment firms in the U.S.

The Series A round was led by Sequoia Capital and TLV Partners with participation from JLL Spark, NYCA Partners, Arbor Ventures and iAngels, taking the company’s total amount raised to date to $21 million.

Founded in 2017, Skyline AI uses artificial intelligence and machine learning to analyze real estate data to predict the value and future behavior of any institutional-grade asset in the U.S. The company claims its platform detects and exploit market anomalies, identifying superior risk-reward investments and discovers untapped value creation opportunities.

“Commercial real estate is coming out of the dark ages when it comes to technology” Guy Zipori, co-founder and chief executive officer of Skyline AI, said in a statement. “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.”

Skyline AI isn’t shy in processing big data, mining data from more than 130 different sources, analyzing more tha 10,000 different attributes on each asset for the last 50 years. Using natural language processing and high-performance data infrastructure, the platform compiles and cross-validates the data to make sure it’s accurate before providing a deep assessment of an asset.

As TechCrunch explained in March, one benefit of Skyline AI’s system is that it can consider variables that would be difficult to include in Excel spreadsheets and other traditional methods for aggregating data. That’s apparently important in real estate because there are so many factors that can affect a property’s value and impact its rents, occupancy levels, maintenance costs and future worth.

Image: Skyline AI