You can either watch it happen or be a part of it.”

Elon Musk

Skyline AI

Skyline AI is an artificial intelligence investment manager for commercial real estate. Skyline AI partners with leading commercial real estate firms to establish next-generation investment vehicles augmented by artificial intelligence. Founded in 2017, Skyline AI is backed by Sequoia Capital, JLL (NYSE: JLL), TLV Partners, Nyca Partners, DWS group and others. The company's headquarters is located in New York, with an additional office in Tel Aviv.

Disrupting CRE

The emergence of advanced artificial intelligence technology is enabling traditional industries to enhance profitability and make exponentially smarter decisions based on data-generated insights. Commercial real estate, a multi-trillion dollar industry, has been slow to adapt. Skyline AI is introducing AI into the commercial real estate investment process, partnering with industry leading investment managers, established operators, and select investors to unlock billions of dollars of untapped value.


Skyline AI was established by four serial AI entrepreneurs with a track record of building and selling companies as a team (Streamrail - acquired by IronSource in 2016, Visionize - acquired by AVG technologies in 2011).

Among Our Investors

Merging 3 Disciplines to Reinvent Real Estate Investment

Skyline AI built a multidisciplinary team, combining experts from the fields of data science, software engineering, and real estate.

Skyline AI's data science team is led by data scientists sharing decades of hands-on experience dating back to the origins of AI. Team Leader Shay Bushinsky developed Deep Junior, the first standard computer to beat Garry Kasparov in official game time.

With over $21 billion in collective global real estate transactions, these professionals bring over 50 years of investment experience.

Skyline AI IDF intelligence Engineers

Our engineering team is comprised of IDF intelligence engineer veterans. They have vast experience in accessing difficult-to-obtain sources, and specialize particularly in mining, denoising, and cross-validating large sets of data.