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TurboAppeal company logo
Property Tax Appeals, Made Simple11-50 Employees
  • B2C
  • B2B
  • Early Stage
    Startup in initial stages
Website
Locations
Company size
11-50 people
Total raised
$7.2M
Company type
Private Company
Markets
Machine LearningProperty ManagementBig Data AnalyticsReal Estate Technology
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TurboAppeal careers

Property Tax Appeals, Made Simple
TurboAppeal is the first of its kind technology to digitally streamline the property tax appeal process for both commercial and residential real estate owners. Leveraging it's proprietary machine learning algorithm, TurboAppeal boasts the highest success rate through its data-driven approach to compiling the most accurate evidentiary information for an appeal. In addition, TurboAppeal handles the entire process from initial sign-up to filed appeal on behalf of its customers.

Traditionally property tax appeals have been manually processed through law firms and service providers. TurboAppeal is bringing big data technology to fully analyze more property attributes and therefore select the most accurate evidence to file on behalf of the real estate owner.

Recognized by Tech Cocktail as the runner-up for National Startup of the Year in 2015, TurboAppeal on average has saved homeowners approximately $1000 in property taxes annually while also having the highest success rate.
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Dr. Mehmet M. Dalkilic
Avatar for Dr. Mehmet M. Dalkilic
First faculty in School of Informatics, Indiana University (Bloomington) in the nation, greated Graduate Bioinformatics Program. Works on Big Data, Analytics.
John Guidos
Avatar for John Guidos
Chief Operating Officer at Established Managing Member at Established Ventures Co-Founder and Chief Operating Officer of TurboAppeal, Inc.
Badal Shah
Avatar for Badal Shah
Co-Founder and CEO of @TurboAppeal. Studied at @Kellogg School of Management.
Total raised

$7.2M

Funded over

4 rounds

Latest round

Acquired (May 2017)

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