Data Science & Engineering

tailored to your needs.

  • Decision and forecast models
  • Data acquis­ition and preparation
  • Stat­istical consulting
  • Engin­eering
  • Water foot­print | EU taxonomy
  • Geoin­form­ation systems
  • Work­shops
  • Research and developement
  • Decision and forecast models
  • Data acquis­ition and preparation
  • Stat­istical consulting
  • Engin­eering
  • Water foot­print | EU taxonomy
  • Geoin­form­ation systems
  • Work­shops
  • Research and developement

baseflow AI solutions

Contact us for an initial, non-binding con­sultancy free of charge.

Why AI?

Effi­cient handling of limited resources and com­pre­hensible decision-making is exceed­ingly important not only for our society, but also for com­panies. At the same time, due to rapid digit­iz­ation the amount of stored data is increasing expo­nen­tially in many sectors.

Arti­ficial Intel­li­gence (AI) methods can be used to identify and gen­er­alize pat­terns in data. In addition, they allow to auto­matize and objectify complex pro­cesses in decision-making. Alto­gether, AI has the potential to achieve sig­ni­ficant effi­ciency increases in many pro­cesses through pre­dic­tions, ana­lyses and automatization.

Ser­vices

Decision and forecast models

Machine and deep learning models achieve the highest per­formance in most regression and clas­si­fic­ation tasks. With a suf­fi­cient amount of data, there is great potential for sig­ni­fic­antly more reliable forecast and decision models. Our ser­vices include the full range of the Data Science life cycle:

  • Initial con­sulta­tions and ana­lysis of potential
  • Data acquis­ition and pre-processing
  • Feature Engin­eering
  • Cre­ation of effi­cient data pipelines
  • Devel­opment of pre­diction and decision models based on state-of-the-art AI methods
  • Par­ti­cip­ation in integ­rating the solution into the existing IT system
  • Imple­ment­ation of Explainable AI (XAI) methods
  • Ongoing main­tenance and model adjustments
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Data acquis­ition and preparation

At the start of most pro­jects, it is necessary to collect and process data. Errors in these initial steps can have drastic effects on the pro­gress of pro­jects. With our exper­ience in researching and pro­cessing envir­on­mental data, including remote sensing data and big data, we can provide a reliable and cleanly pro­cessed data basis for a smoothly pro­gressing project.

Stat­istical consulting

Stat­istical methods provide objective insights based on data and serve as a basis for answering eco­nomic and sci­entific ques­tions. We have the necessary exper­ience as well as hardware and software capa­cities to be able to carry out big data evaluations.

Engin­eering

We have extensive exper­ience in the field of hydro­lo­gical and hydraulic mod­eling – from local to regional scale. Addi­tionally, we offer the fol­lowing services:

  • Inspec­tions and measurements
  • Hydro­lo­gical and hydraulic calculations
  • Dimen­sioning of hydraulic structures
  • Com­parison of variants
  • Event and risk analysis

Water foot­print | EU taxonomy

Which invest­ments or eco­nomic activ­ities are green and envir­on­mentally sus­tainable? A legal cla­ri­fic­ation is given by the EU Tax­onomy Reg­u­lation. According to the EU Tax­onomy, an eco­nomic activity is con­sidered sus­tainable if it leads to a sub­stantial improvement of one of the six defined envir­on­mental objectives and does not neg­at­ively affect the other objectives. Our focus is mainly on the 3rd objective, the sus­tainable use and pro­tection of water resources. 

We offer to determine the water foot­print of your organ­iz­ation based on sci­entific standards or to verify if the (planned) eco­nomic activity can be clas­sified as sus­tainable according to the EU taxonomy.

Geoin­form­ation systems (GIS)

In addition to the standard GIS work such as digit­iz­ation, map cre­ation and eval­u­ations, we also offer to auto­matize work­flows. This allows to perform many GIS applic­a­tions sig­ni­fic­antly faster and in a stand­ardized way.

Work­shops

You and your team would like to learn more about the back­ground of the fre­quently used terms “AI” or “Big Data” in an under­standable way? We offer cus­tomized work­shops that include the­or­etical and prac­tical ele­ments. Oppor­tun­ities for in-depth dis­cus­sions and, if necessary, concept devel­opment regarding the use of AI for your applic­a­tions emerge thereby as well.

Research and development

Are existing methods and approaches insuf­fi­cient for solving your business prolems or sci­entific ques­tions? We can conduct applic­ation-ori­ented research and devel­opment with a focus on the interface between data science and envir­on­mental tech­nology. Our ref­er­ences contain a list of our sci­entific pub­lic­a­tions and contributions.

Addi­tional services

We are also a cer­tified engin­eering office spe­cialized in cul­tural engin­eering and water man­agement and are therefore allowed to rep­resent your pro­jects at author­ities and courts.

Espe­cially in the case of AI ser­vices, some pro­viders often promise a lot. We can assist you in the ten­dering and awarding process to avoid unpleasant sur­prises. Fur­thermore, we are able to provide in-depth expert reports in all service areas listed above.

baseflow AI solutions

Team

CEO and project handling

DI Dr. Moritz Feigl
feigl@baseflow.ai
LinkedIn

PhD at BOKU Vienna on the subject of “Machine Learning in Hydro­lo­gical Mod­eling” in 2022. Research asso­ciate at the Institute for Hydrology and Water Man­agement at BOKU Vienna since 2018. One-year research stay at the Uni­versity of Calgary, Canada 2018/2019. Con­sultant for Stat­istics at the Cancer Research Center of the Medical Uni­versity of Vienna in 2018. Bachelor’s and master’s degree in Civil Engin­eering and Water Man­agement at BOKU Vienna, as well as bachelor’s degree in Stat­istics at the Uni­versity of Vienna. Student assistant at the BOKU institute for stat­istics and the institute for hydrology and water man­agement in 2016/2017. Ref­er­ences

DI Christoph Klingler
klingler@baseflow.ai
LinkedIn

Passing the qual­i­fying exam­in­ation for engin­eering offices in fall 2023. Research assistant at the Institute for Hydrology and Water Man­agement at BOKU Vienna since 2020 with a spe­cial­iz­ation in effi­cient data handling and machine learning. Bachelor’s and Master’s degree of Civil Engin­eering and Water Man­agement. Study visit to Svalbard, Norway in 2018. Pro­fes­sional exper­ience at con­sulting offices for auto­mation tech­nology, civil engin­eering and sur­veying in 2014 to 2019. Gradu­ation of tech­nical college for elec­trical engin­eering with focus on power engin­eering and indus­trial elec­tronics in 2014. Ref­er­ences

Advisory Board

DI Dr. Mathew Herrnegger

Senior Sci­entist, Institute for Hydrology and Water Man­agement, BOKU Vienna
ResearchGate

Univ​.Prof. Dr.
Karsten Schulz

Pro­fessor, Institute for Hydrology and Water Man­agement, BOKU Vienna
ResearchGate

Contact

baseflow AI solu­tions GmbH
Burggasse 58/12A
1070 Vienna
Austria

Data Science & AI Con­sulting
info@baseflow.ai