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Fruitful Collaboration: Skyline AI and Greystone Join Hands to Bring AI to Commercial Real Estate Finance

siliconreview Fruitful Collaboration: Skyline AI and Greystone Join Hands to Bring AI to Commercial Real Estate Finance

Skyline AI, an Israeli Investment tech firm, and Greystone, an American real estate company, have announced a technological collaboration – to boost deal performance and the loan underwriting process. The deal was announced on Tuesday.

“Value is the DNA of every deal, and joining forces with Greystone Labs will unleash the ability of advanced AI and data science to restructure how deals are underwritten, financed and acquired,” said Guy Zipori, Co-founder and CEO, Skyline AI. 

Skyline AI is looking forward to reaping key industry insights from Greystone labs as it has leveraged its strengths in artificial intelligence and data science technology. Greystone will also increase the breadth and depth of data available to exponentially boost the performance of Skyline AI’s asset performance predictions.

Greystone Labs will also receive access to Skyline AI’s technology, which will strengthen their specialized team of underwriters, empowering them to underwrite loans 10x faster and with greater accuracy. This mutual exchange of insights will bolster both companies with the technological prowess to outperform the market in their respective endeavours. This mutual exchange of insights will strengthen both companies with the technological prowess to outperform the market in their respective endeavours.

“At Greystone Labs, we’ve blended software engineering, underwriting and data science in order to underwrite thousands of loans in a fraction of the typical timeline,” said Zac Rosenberg, Director, Greystone Labs.

“Our collaboration with Skyline AI will allow us to combine our industry expertise in both lending and investment with their expertise in data science and artificial intelligence. Together we will push even further into leveraging artificial intelligence in our underwriting models to surface insights previously impossible to achieve,” he concluded.

 

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