How One Company Used AI to Buy a $57M Apartment

Skyline AI vetted the asset by processing scraped data from review sites; these online reviews indicated an opportunity for optimization.

Atlanta, Ga. Photo by Shutterstock.

ATLANTA—As one of Atlanta’s most affluent submarkets, Roswell can be a good choice for apartment investors. Atlanta itself is the 10th largest metro economy in the US and Roswell boasts a steady population growth, a lower unemployment rate and higher median income per capita when compared to the US average.

But such fundamentals were not enough for one investor as it weighed whether to buy a 396-unit, garden style apartment complex there. So this Atlanta-based company partnered with Skyline AI to make use of its ensemble of machine learning models to dive deeper into the question.

Ultimately it decided to move forward with the $57 million value-add investment but how it got there is worth a story on its own. Skyline AI further vetted the asset by processing scraped data from review sites with natural language processing. Online reviews of the asset were flagged by the system as indicating an opportunity for optimization.

“In an industry dominated by insider knowledge, Skyline AI is using advanced technology to level the playing field,” said Iri Amirav, CRO and co-founder of Skyline AI, in prepared remarks. “Sometimes the best commercial investment opportunities can be revealed in surprising places. Our machine combines traditional real estate data with new data types primed for AI analysis to unlock hidden opportunities for investors.”

The deal marks Skyline AI’s second AI-based real estate deal; its first occurred last year when the company acquired two residential building complexes in Philadelphia with a local partner. The assets acquired were recommended by Skyline AI’s algorithm. Skyline AI expects further acquisitions in the near future.