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Jan 16, 2017
Dylan Moats
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Hudson Advisors apply LEVERTON’s Machine Learning Platform for Eastern European Properties Management

LEVERTON’s smart data platform was used to set up a structured repository of key data from 600 lease files of several properties in the Eastern European market.

With the LEVERTON technology, key data from 4,500 documents in Czech, English, Hungarian, Polish, Romanian and Slovakian languages was extracted. The structured repository enhanced pre- and post-acquisition processes significantly. The properties, with a total area of more than 200,000 sqm, were recently acquired by Lone Star Funds.

Furthermore, Hudson Advisors are moving into a partnership to use the LEVERTON platform for ongoing management of their documents and lease files. This will lead to better insights and complete knowledge of contractual information, as well as easy identification of information discrepancies.

About Hudson Advisors
Hudson is a globally integrated asset management company that performs due diligence and analysis, asset management and other support services for Lone Star. Hudson has significant expertise in loan servicing and asset management, providing a full range of services that include due diligence and valuation, financial services and reporting, income and property tax compliance, currency and interest rate hedging, risk management, information technology development and systems support.

About LEVERTON
LEVERTON develops and applies disruptive deep learning technologies to extract, structure and manage data from corporate documents in more than 20 languages. Our platform empowers corporations and investors to be more efficient and effective with their real estate management. It facilitates quick and data-driven decision-making by creating actionable, valuable insights out of unstructured data. More than 100 global industry leaders trust LEVERTON to build their CORE. The intelligent platform runs on LEVERTON servers in ISO 27001 and ISO 9001 certified data centers that guarantee highest security.

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