Location-insights for real estate portals

Make neighbourhoods understandable


The GeoSci API enriches property profiles with place infos so that humans and algorithms can make sense of them. All we need are the property’s coordinates.

Our contribution to your success: more conversions, a great home seeker experience and a unique selling point in the market.

Our experience in working with large real estate portals makes us a reliable partner. We meet your high expectations for data quality, scalability and reliability and understand home seekers in depth.

Transparent locations: Easy, clear and tailored to your use case

All information is available via REST APIs for an effortless integration into your systems.

New: AI location descriptions for your property profiles

Scientifically sound and focused on the real estate market

We are a team of real estate experts, cloud developers and geo-spatial data scientists, supported by Prof. Birger, Professor for Building Physics of TH Lübeck.

Florian GRUENWALD

Florian worked as management consultant and global product manager for E.ON. He is the founder of GeoSci and focused on company strategy and product development. On holiday he’s a passionate windsurfer.

Lukas has already founded two startups. He supports GeoSci in development and marketing. He’s committed to Effective Altruism with research projects about air pollution and AI. He likes playing the organ.

Thorsten has a Ph.D. in mathematics and is geo-spatial data scientist. He’s responsible that algorithms and infrastructure are running efficiently and reliably. He’s a passionate tinkerer and part of the Hackerspace Konstanz.

We analyse locations according to these dimensions

Wie laut ist es hier

Quietness

Understand the noise pollution around a property and highlight quiet locations. Impossible? In 2021 our first product, ruhecheck.de, changed the way noise sensitive people are looking for a place. Now, this accurate and up-to-date noise check is also available via API for an easy integration into your systems.

2-3m

Spatial resolution

4.5/5

Accuracy: Based on user survey

Public transport connectivity

How well can the property be reached by public transport? How quickly can you get to important locations? Is there an airport close-by? Our transport check API answers all questions around connectivity.

In addition, we calculate travel times to user-defined locations such as “work” for all means of transport for every property.

50m

Spatial resolution

95%+

Accuracy: Based on user survey

Wie gut ist die Verkehrsanbindung
Einkaufen

Shopping

Supermarkets close by? What shops in general? This is part of most home seekers’ checklists. Our algorithms identifies relevant stores and evaluates the ease of shopping.

50m

Spatial resolution

95%+

Accuracy: Based on user survey

Child friendliness

Is this a good place for my child to grow up is the key question for moving parents. Childcare facilities and playgrounds close by? Schools? What about dangerous streets or crime hotspots? Unstress worried parents by taking this research off their shoulders.

50m

Spatial resolution

90%+

Accuracy: Based on user survey

GeoSci Kinderfreundlichkeit
Soziodemographie Check

Socio-demographics

Birds of a feather flock together. Home seekers wish to understand what their neighbours are like. Age? Income? Children? We have the data and provide insights in a way that’s simple to understand for everyone.

100m

Spatial resolution

99%+

Accuracy: Based on census

Parks and nature

No one wants to live in a desert of concrete. Are there parks and biotopes in the vicinity? Of course, not every patch of green is the same. We also assess their recreational values.

50m

Spatial resolution

95%+

Accuracy: Based on user survey

Natur Check

Crime

Who wants to live at a hot spot of crime? Not your users. We trained an AI to identify areas of crime up to individual streets. Help your users find locations where they can live in peace.

100m

Spatial resolution

85%+

Accuracy: Comparison with crime reports

Nightlife

Can you party here? What is dining out like? We find peoples’ new favourite restaurant and evaluate the local options to have fun. So your users know if this is a place where they can enjoy themselves.

50m

Spatial resolution

95%+

Accuracy: Based on user survey

Climate and sunny days

Average temperature per month? How many sunny days? Generally not a relevant selection criterion but an eye-catcher to most users. We aggregate and analyse area-specific weather data of the last 5 years.

3km

Spatial resolution

99%+

Accuracy: As provided by supplier

Dream places

People don’t fit in boxes. One wants a local rowing club, the other proximity to the sea. Enable your users to set personalised location preferences and highlight those within properties so dream places stand out. Easy to implement thanks to our innovative data model.

50m

Spatial resolution

95%+

Accuracy: Based on user survey

AI location descriptions

What about offering better location descriptions for your properties than sellers would write themselves? With one click!

50m

Spatial resolution

90%+

Accuracy: Test of AI

Success Stories