Location-insights for real estate
Make neighbourhoods understandable
The GeoSci API enriches property profiles with up-to-date information about the surroundings, quality of life and free time activities. Our Location Check web app is here.
Our contribution to your success: more conversions, faster go-to-market and a SEO boost.
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 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.
Lena is shaped by her time at Zalando and in various startup technology leadership roles. She is the GeoSci CTO. As a passionate paragliding pilot, she can often be found in the air.
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
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
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
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
Security
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
