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Commercial Real Estate

Overview

From faster, more accurate property valuation for investment decisions to sophisticated forecasting, the use of data and analytics in real estate can lead to more intelligent decisions about property investments. However, the wide variety of publicly available datasets are generally complex and in multiple formats.

Straive, powered by our unstructured data platform, Straive Data Platform (SDP), can help commercial real estate companies extract, enrich and structure data from all relevant internal and external sources. SDP can quickly extract the data during the customer onboarding, asset acquisition, and other major processes and then enrich and process it to create powerful 360-degree views of entities, including tenants, customers, potential acquisitions, vendors, and others.

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Our Solutions

Text

Straive offers solutions to extract, enrich and deliver data and actionable insights from text-heavy documents---including title and sales deeds, mortgages, tax appraisals, and tenancy agreements---in any format such as text PDFs, emails, word files, scanned PDFs, etc. leveraging cognitive technologies and SME intervention.

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Public Data

Straive’s Public Data intelligence solutions can be used to mine a variety of data, including information about public records, people, companies, and competitor intelligence from across the web and configured for any public data source.  In addition, it offers highly advanced data extraction capabilities leveraging ML- and NLP-based algorithms.

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Visual

Our vision-led image and video processing solutions can help you transform your business processes by offering the capability to recognize objects and entities, classify images, develop patterns, identify gestures and faces/persons on an industrial scale through SDP.

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SDP

SDP is Straive’s proprietary end-to-end Data Management Platform that uses AI, ML, and other intelligent engines to offer data management as a service. It is cloud-centric and modular, with various features to capture, unify, and action data across multiple touchpoints.

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