About us

Data is everywhere...

… from sensors to patient’s records, social media, scattered Excel tables, big databases and the text you are reading at the moment. Our world becomes more and more quantifiable. It is so cheap to collect and store data as never before, according to a forecast of IDC and Seagate the worldwide amount of data will increase tenfold from 2016 to 2025 to 163 Zettabyte.

… and one can realise amazing and useful things …

… already with simple instruments like a dashboard - a kind of instrument panel showing current characteristic business numbers.

However, truly astounding things can be implemented with data science methods. While business intelligence solutions depict the actual and past state of a system, data science allows to generate predictions about the future and processing unstructured data like images or text.

… with the right tools and know-how …

… we can answer a business question with the help of data. The typical process of a data science project looks like this:

The final product is knowledge

… in the from of a report, a system for automated reports, or an API which is integrated into an existing infrastructure.

For that reason ATSEDA was founded in 2018.

This is where we work: At the threshold between business intelligence and data science and we want to make both available for your company.

Independent

We favour no software provider and have no interest in selling or advocating a specific software solution.

Customised

Adjusting and implementing a business intelligence solution requires a customised approach. This allows us to find a solution that matches your requirements and fits into your existing infrastructure.

Agile, fast and iterative

It is possible that during a data science project the focus of the project changes. For example new key aspects can turn up and new aims can get uncovered. Because of that we solve a data science project iteratively with an agile project management and develop the solutions with regular feedback of our clients.

Up to date

We stay up to date because we are interested and fascinated how BI and data science advance.

Who we are

The company ATSEDA AB was founded in June 2018 and is registered as stock company in Sweden - this explains the AB in our company name (AktieBolag). The main location of our company is Älvdalen in Sweden.

Founders and members of the steering committee of the company are Dr. Thomas Gölles and Dr. Andreas Trügler.

Thomas Gölles at the Tunabreen glacier, Svalbard

Thomas Gölles at the Tunabreen glacier, Svalbard

Andreas Trügler in Tasiilaq, Greenland

Andreas Trügler in Tasiilaq, Greenland


Dr. Thomas Gölles:
He worked as mechanical engineer for four years and studied environmental science with a focus on physics afterwards. After a semester abroad in Longyearbyen, the most northern permanently inhabited village, he further specialised on mathematical models of glaciers. Finally he lived and worked for more than five years in Longyearbyen and also founded his family there, which still connects him to Scandinavia and is also the reason for our headquarters in Sweden.

During his PhD thesis he was concerned with a lot of data, data management and mathematical models. Besides publications in scientific journals there was also an article in Spiegel online.

Since there is a lot of emphasis on titles in Austria his official title might be Mag. rer. nat. Ing. Thomas Gölles Bakk. rer. nat, Ph.D., but he is not so sure about that. How he got all this titles can also be viewed in his linkedin profile.


Dr. Andreas Trügler:
He has a background in carpentry and furniture design and studied theoretical physics. In his dissertation and during research stays in Italy, Spain, France and Canada he specialised in numerical simulations in nanophysics, especially at the interaction of light with nanostructures. Therefore his strengths are analytical problem solving, mathematical modelling, software development and the visualisation and analysis of data. For his dissertation he got the science award of the province of Styria for simulation and modelling. Besides scientific publications he also wrote a textbook which was published by Springer. Further information can also be found in his linkedin profile.

In addition we have a pool of freelancers with many years of data-science experience.

Why do we do it?

  • We are enthusiastic about artificial intelligence and machine learning technologies.
  • We free-up time for more meaningful tasks, and yes, also including free-time.
  • We stand for ethical use of data (e.g. follow guidelines by datafordemocracy.org)
  • We optimise processes to use less resources and reduce emissions so that we and our children can go skiing also in the future.
  • We offer sustainable 100% remote jobs following our own idea of an ideal working environment.