7 October 2019
By 2025, the amount of digital data is expected to increase to 175 zettabytes. But what about the data that has not yet been digitized? How can companies use this data for themselves if they are not even in digital form?
So it is with floor plans. Most inventory holders are still unaware of the wealth of data in their cellars. Spellbound on paper or microfilm, they are not economically viable. Not only does it take a long time for these plans to be processed, the error rate would be too high. To solve this problem, the supreme discipline of digital technologies lends itself to: artificial intelligence. The Berlin-based PropTech start-up has developed such an artificial intelligence (AI), which makes it possible to obtain new insights into the condition of stocks, even in the case of extensive real estate portfolios.
Special image recognition
Artificial intelligence is a special form of algorithm that can develop similar capabilities to human intelligence. At the Berlin-based start-up, this is a special image recognition algorithm that can quickly read thousands of floor plans. “The algorithms that we use fall into the category ‘Convolutional Neural Network’. This form of AI consists of countless layers. Embedded in these layers are filters that recognize certain features. In our case, for example, whether the floor plan shows a door or a window,” says Tim Meger-Guingamp, CEO and co-founder.
Housing in cities is becoming increasingly valuable. The change in climate and demography, combined with a lack of building land, increases the demands on the industry. Real estate needs to be managed more sustainably, which also includes reducing energy consumption.
To achieve this goal, reliable data is needed. “With the help of our AI, we can see for the first time what real estate is like,” says Meger-Guingamp, who founded the PropTech start-up in 2015 with Alexander Dolokov. The AI is the result of Dolokov’s thesis at the TU Berlin: “The great benefit of our application is that we can make data-driven decisions along the entire real estate life cycle.” For example in the case of modernization, when windows or doors need to be replaced.
Making sales better and faster
Digitalization and AI can also improve negotations between broker and client. To sell efficiently, a broker needs to offer clients real estate that suits their tastes and desires. The entire process of getting to know the tastes and needs of customers is long and sometimes difficult. Often the entire sales/purchase process takes a few weeks. This is where AI comes in handy as it provides results tailored to the needs of its customers, due to its fast learning ability. For example, bots (based on AI) can learn from past interactions with other interested buyers and compare the tastes of customers for the most accurate results. These bespoke solutions are created in seconds.
https://www.exporeal.net/index-2.html
The potential of data
Artificial intelligence, data management, virtual building twins – a Berlin-based start-up helps real estate owners tap into new potential. Digitizing floor plans, making real estate management more sustainable or creating bespoke solutions for customers: the future is digital.
 Photo: Markus Spiske on UnsplashData is the new currency. |
So it is with floor plans. Most inventory holders are still unaware of the wealth of data in their cellars. Spellbound on paper or microfilm, they are not economically viable. Not only does it take a long time for these plans to be processed, the error rate would be too high. To solve this problem, the supreme discipline of digital technologies lends itself to: artificial intelligence. The Berlin-based PropTech start-up has developed such an artificial intelligence (AI), which makes it possible to obtain new insights into the condition of stocks, even in the case of extensive real estate portfolios.
Special image recognition
Artificial intelligence is a special form of algorithm that can develop similar capabilities to human intelligence. At the Berlin-based start-up, this is a special image recognition algorithm that can quickly read thousands of floor plans. “The algorithms that we use fall into the category ‘Convolutional Neural Network’. This form of AI consists of countless layers. Embedded in these layers are filters that recognize certain features. In our case, for example, whether the floor plan shows a door or a window,” says Tim Meger-Guingamp, CEO and co-founder.
Housing in cities is becoming increasingly valuable. The change in climate and demography, combined with a lack of building land, increases the demands on the industry. Real estate needs to be managed more sustainably, which also includes reducing energy consumption.
To achieve this goal, reliable data is needed. “With the help of our AI, we can see for the first time what real estate is like,” says Meger-Guingamp, who founded the PropTech start-up in 2015 with Alexander Dolokov. The AI is the result of Dolokov’s thesis at the TU Berlin: “The great benefit of our application is that we can make data-driven decisions along the entire real estate life cycle.” For example in the case of modernization, when windows or doors need to be replaced.
Making sales better and faster
Digitalization and AI can also improve negotations between broker and client. To sell efficiently, a broker needs to offer clients real estate that suits their tastes and desires. The entire process of getting to know the tastes and needs of customers is long and sometimes difficult. Often the entire sales/purchase process takes a few weeks. This is where AI comes in handy as it provides results tailored to the needs of its customers, due to its fast learning ability. For example, bots (based on AI) can learn from past interactions with other interested buyers and compare the tastes of customers for the most accurate results. These bespoke solutions are created in seconds.
https://www.exporeal.net/index-2.html
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