We are your partner for Machine Learning & Data Science projects
We develop tools that help you understand your data
We connect your Domain Knowledge with Algorithms
Why choose us?
Explanation and Interpretation
Our job is not done until you are able to understand our implemented models and interpret the results. Algonaut addresses this challenge by combining your organization's expertise with the power of algorithms. With our expertise in Bayesian reasoning, we aim to achieve better results while enabling easier communication and interpretation of algorithms.
Statistics & Machine Learning Expertise
With our strong academic background, we are experts in developing and applying algorithms from artificial intelligence, statistics, and machine learning. Whether it's using cutting-edge machine learning algorithms (e.g. deep Bayesian neural networks) , natural language processing (e.g. GPT-3 and topic modeling), or statistical testing and regression to identify key factors in your field. We are experienced in applying these algorithms to any challenge.
Validation, Implementation & Monitoring
Extracting knowledge is an extremely dynamic process that must be adapted with new findings. Therefore, successful data science projects need to be well implemented, validated and monitored. With our wide range of tools, we achieve this goal by delivering products tailored to your specific needs.
WHy choose Us?
We know Data
Whether you want to work with images or numerical data, whether your data is structured or unstructured, whether it is Big or Small Data. We know data. And we understand that the digital transformation process can sometimes be messy, leading to heterogeneous data sources. We are here to help you and show you ways to a sustainable data strategy.
Commitment
Since Data Science is our passion, you can expect a dedicated partner who honestly wants to find the best way to turn your data into better business decisions. In doing so, we always try to find long-term solutions and strive for a lasting partnership with you.
For our partner Transporeon we analyse platform data in the logistic sector. We use machine learning algorithms to predict prices & capacities, identify customer segments based on individual behavior, improve the data quality and apply statistical tests to examine individual submarkets in terms of their structural differences to support our customer to be data-driven.
Economic Modeling
Algonaut is an expert in economic modeling, where traditional econometrics are enriched with new machine learning algorithms. While machine learning algorithms can be a powerful tool, it rarely can be used for causal analyses. At Algonaut we hold the combined knowledge of both, machine learning and classical econometrics, to always choose the appropriate approach to a given challenge. With our economic background we have conducted various economic analysis such as investigations in the fields of income inequality, housing costs, the labor market and economies development while facing external shocks.
Medical Modeling
Our body is a huge data producer. The amounts of data are calling Big Data processes onto the scene. Modern sensor technologies (e.g., smartwatches) are enabling a fundamental shift in the way we view personal health. Real-time analysis of blood pressure and heart rate, as well as non-invasive measurements of brain activity, may help to better understand the human organism in the future. But large-scale investigations are also made possible by the available data volumes: During a research project, one of our employees investigated the relationship between Covid-19 infections and temperature.
Network Modeling
The interest in analyzing networks has increased due to the fact that insights from social networks such as Twitter have proven to be relevant to understand political, sociological or even consumption trends. Network analysis can uncover key factors in multidimensional structures. Algonaut has conducted studies in the field of social networks by using state of the art statistical modeling.
Ecological Modeling
The complexity of ecological relationships seems to be somewhat tangible with modeling approaches. Progress in the field of climate research and the prediction of extreme weather events is of utmost relevance. Using machine and statistical learning methods, our team is experienced in dealing with complex systems and spatial data to identify root causes and predict future developments.
Building a knowledge graph
Large Text archives can be an extraordinary source of knowledge once you are able to make them accessible. For one of Europe's leading software companies, we restructured the knowledge base using algorithms from natural language processing (NLP). The identification of latent issues as well as the creation of references within the database enables further analysis, efficient knowledge management and brings previously hidden insights to light.
Dashboards
Often it is important to get insights from data in an interactive, intuitive and fast way. Dashboards help to present key facts, influences and overviews in a structured way and can be used to get daily updates on changes. We are experienced in building dashboards based on different programming languages, so that we can always meet your needs.
Dominik Galm
Dominik Galm is Algonaut's communications manager and combines business expertise with statistical and organizational skills. With his strong management background, he forms the basis for productive and efficient project processes.
Jana Kleinemeier
Jana Kleinemeier is an expert in the rising field of Bayesian machine learning and especially variational inference. With her research background, she is also the head of research at Algonaut, ensuring that the company has its finger on the pulse.
Fabrizio Kuruc
Fabrizio Kuruc is an experienced machine learning engineer and software developer. His interests lie in the automation of processes, the deployment of machine learning models and UX-Design to provide intuitive and functional software for our customers.
Jost von Petersdorff-Campen
Jost von Petersdorff-Campen is a Data Scientist and an expert for statistics and machine learning. He has experience in the application of machine learning in the economic and in the medical field and builds dashboards to visualize data in an intuitive way.
Maximilian Kricke
Maximilian Kricke is data scientist and expert in natural language processing. He combines strong programming skills with the ability to visualize machine learnings outputs comprehensively.
There are no open positions at the moment, but you are still welcome to contact us if you have a strong academic background in computer science, statistics, mathematics, or similar fields. Send an email to info@algonaut.com.
Statistical & Machine Learning
We are experts in the design and application of algorithms from the fields of artificial intelligence & statistical and machine learning. Whether it's using cutting-edge algorithms from machine learning (e.g., deep Bayesian Neural Networks) and natural language processing (e.g., GPT-3 and topic modelling), or performing statistical tests and running regressions to identify the key factors in your domain, we are experienced in understanding and applying these algorithms to any challenge.
Explanation and Interpretation
Our work is complete when you are able to use the models and interpret the results correctly. This is a complex task because, on the one hand, machine learning algorithms can be a black box for non-experts. On the other hand, the algorithms are less useful if domain-specific knowledge is not incorporated when the algorithms are created. Algonaut addresses this challenge by combining your organization's domain expertise with the power of the algorithms, first at a practical level by trying to understand how the data provided is generated and what assumptions or biases underlie its generation. Second, at the theoretical level, by using Bayesian reasoning to incorporate the expertise gained directly into the algorithms. This enables better results and easier communication and interpretation of the algorithms.
Validation, Implementation and Monitoring
Successful data science projects need to be well implemented, validated with new data insights and monitored. Algonaut has a wide range of tools to achieve this goal and the delivered products can vary depending on your specific needs. The toolset ranges from data analysis using dashboards to machine learning models integrated directly into your software.
Data
Algonaut is an expert in handling various data sources. Whether your data are images for computer vision projects or numerical data for predictive algorithms or text data for natural language processing, whether the data is structured or unstructured as in the case of Big Data, Algonaut's team knows the specifics of each data source and is therefore a true data expert.