AI research partner from Göttingen

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Our AI research is recognized and funded by the BMBF

Did you know? The Ar and In in our company name stand for Artificial Intelligence – and we live up to this with our AI team.

In two projects funded by the German Federal Ministry of Education and Research (BMBF), our experts have researched how artificial intelligence and machine learning can contribute to the optimization of business processes. The research volume for both projects amounted to 2.1 million euros; the Federal Ministry of Education and Research supported this work with 500,000 euros.

Project 1

Natural language processing to answer business questions

Our first AI research project aims to use artificial intelligence to build up a knowledge data pool that makes it possible to answer any internal and external company questions. Technically, this project is about NLP (natural language processing).

Example

The artificial intelligence we have developed can, for example, prepare the risk assessment of newly acquired customers. To do this, it determines a risk profile from various data sources, which can be viewed from different angles. This is the ideal basis for making a data-driven decision as to whether the acquisition effort is worthwhile.

Project 2

Artificial neural networks for image processing

Our second research project deals with artificial neural networks. With the development of new image processing methods, we help companies optimize their processes with the aid of image or video recognition. For example, our algorithms can detect diseases on the leaves of various fruits and vegetables and suggest appropriate treatments to combat the disease.

We use three different approaches here.

Cell phone pictures

With the help of cell phone pictures, we can identify very specific diseases on individual leaves.

Drone imagery

Drone imagery helps us identify infestations in a field.

Satellite images

And with satellite images and associated weather data, we can even make predictions for the spread of pathogens for entire areas.

Examples

Our algorithms can detect diseases on the leaves of various fruits and vegetables and suggest appropriate treatments to combat the disease.

Another example is the prediction of the flooding of rivers and lakes based on satellite images. To this end, our artificial intelligence evaluates and categorizes images from the Sentinel I and II satellites. Categorization, in turn, allows the system to detect the smallest changes and create a sort of early warning system.

This is what makes our research partnership

Low-threshold AI solutions

Our AI solutions are designed to address specific business problems. For example, our Anomaly Detection app helps increase data quality, and our AI for regulating hours helps project managers approve timesheets.

Methodical approach

Our methodical approach identifies processes in your company that can be optimized with AI to make them faster, more cost-effective, and more secure.

Ethical principles

Our research is not funded by the German Federal Ministry of Education and Research for nothing. We are committed to ethical principles in the development of our algorithms.

“The funding from the Federal Ministry of Education and Research is a great opportunity for us. There are no comparable solutions on the market so far. Arineo is, thus, doing pioneering work. This opens up new potential for us in the market, with which we can not only win new customers but also underline Göttingen’s reputation as a center for research and science.”

Dr. Marko Weinrich

Member of the Management Board,

Arineo GmbH

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Our core is the development of artificial intelligence. To this end, our experts repeatedly collaborate with university researchers.

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Ausgezeichnet. Wenn, dann machen wir es richtig! Nicht umsonst haben wir den Microsoft Gold und Solutions Partner Status sowie den SAP Gold Partner Status erreicht. Und unsere hervorragende Bonität wurde mehrfach von Creditreform bestätigt.

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Michael Zielinski

Senior Manager Data Intelligence

+49 151 24160950

michael.zielinski@arineo.com

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