A New Approach To Property Valuation

Many of today’s AVMs use data driven linear algorithms specific to a region, metro area or neighborhood. At GeoPhy, we take a different approach. We use a wider breadth of data to identify global patterns, and integrate hyperlocal features to refine analysis specific to a property. This key innovation allows GeoPhy to explore non-linear relationships which expose relevant features that drive property value.

Our story

Over the last 5 years we’ve grown from a small team of engineers, economists and data scientists working out of a garage (yes, that’s
true), to a global employer with locations across The Netherlands, the United States, the United Kingdom and Lithuania.

2014

Launch of OfficeRank

June 2014

Initially launched in the Netherlands as OfficeRank, we started as data aggregators, providing offices with a quality score based on contextual data.

Rebrand as GeoPhy

August 2015
2015

With a vast database of enriched property data and machine learning expertise, we rebrand to leverage those competencies to uncover property features that drive value.

2016

Interest comes knockin’

December 2016

Approached to help a large U.S. government-sponsored enterprise (GSE) develop faster, more accurate independent property valuations for its multifamily loan books worth in excess of US$280bn.

1st validated machine-based CRE AVM

February 2017
2017

Our efforts result in the first machine learning-enabled valuation solution proven for U.S. multifamily properties. An initial 9% median absolute error (MdAPE) compared favorably against the 10% - 15% rate of traditional appraisals.

2018

A year of growth

2018

We’ve grown the team, enhanced our product (5.85% MdAPE with ongoing refinement), and formed new business partnerships to bring you even better and faster property values.

Watch this space!

2019
2019

Stay tuned for new product launches, partnerships and continued fantastic growth.

June 2014

Launch of OfficeRank

Initially launched in the Netherlands as OfficeRank, we started as data aggregators, providing offices with a quality score based on contextual data.

August 2015

Rebrand as GeoPhy

With a vast database of enriched property data and machine learning expertise, we rebrand to leverage those competencies to uncover property features that drive value.

December 2016

Interest comes knockin’

Approached to help a large U.S. government-sponsored enterprise (GSE) develop faster, more accurate independent property valuations for its multifamily loan books worth in excess of US$280bn.

February 2017

1st validated machine-based CRE AVM

Our efforts result in the first machine learning-enabled valuation solution proven for U.S. multifamily properties. An initial 9% median absolute error (MdAPE) compared favorably against the 10% - 15% rate of traditional appraisals.

2018

A year of growth

We’ve grown the team, enhanced our product (5.85% MdAPE with ongoing refinement), and formed new business partnerships to bring you even better and faster property values.

2019

Watch this space!

Stay tuned for new product launches, partnerships and continued fantastic growth.

We’re focused on providing clear, true insights
on property values.
Teun van den Dries
GeoPhy's CEO & co-founder
Testimonials
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