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Description

Property owners who do not reside in their homes are often eager to sell at significant discounts to alleviate the burden of managing the property from afar. These absentee owners typically seek to offload their properties due to the challenges of distance, making them more motivated sellers. Additionally, cash-paying investors and landlords are likely to purchase multiple properties in the future, seeking to expand their real estate portfolios. Wealthy investors often finance real estate transactions more efficiently than traditional banks or hard money lenders, providing better rates and fewer complications. Homes that are currently in the foreclosure process also present a unique opportunity, as homeowners in this situation are often desperate to sell in order to relieve pressure from their lenders. On-market leads can typically only be accessed by licensed real estate agents, whereas platforms like Flipster provide access to opportunities across all 50 states. Off-market leads usually require tedious manual searches, but Flipster simplifies this by daily scraping Craigslist to identify motivated sellers. Furthermore, properties that have been reclaimed by banks are sold at reduced prices, allowing buyers to take advantage of discounted properties that the banks are eager to remove from their financial records. This variety of sources for motivated sellers presents a wealth of opportunities for savvy investors looking to capitalize on the real estate market.

Description

Unlock vast amounts of disparate data. Our machine learning algorithms combine the previously dissimilar worlds of commercial real estate to provide property insight. Without a common language to standardize information sharing and collection, commercial real estate data has remained fragmented and isolated. Our machine learning algorithms can take data from any source, and restructure it using our universal language, the Reonomy ID. You can now simultaneously resolve disparate records, and also augment your database using the same technology. The Reonomy ID, powered by Artificial Intelligence can unlock the true potential of your commercial realty database. It maps all records, even lost, to the correct source with a clear identifier. This allows you to uncover new depths in the data you already have.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

craigslist Yes 

Integrations

craigslist No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Reonomy offers both web application products and data solutions. Pricing for the web application is based on a base package, with the possibility of volume-based cost savings. Reonomy’s data solutions are highly customizable and can be tailored according to an organization’s needs. For both offerings, organizations are encouraged to reach out to Reonomy to discuss customized pricing.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Flipster

Country

United States

Website

flipstersoftware.com

Vendor Details

Company Name

Reonomy

Founded

2013

Country

United States

Website

www.reonomy.com

Product Features

Commercial Real Estate

Brand Management No 
CRM No 
Cash Flow Analysis No 
Critical Date Alerts No 
Deal Management Yes 
For Appraisers Yes 
For Brokers Yes 
For Investors Yes 
For Property Managers No 
Portfolio Management Yes 
Strategic Planning Yes 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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