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?
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.
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.
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?
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.
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.
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.
Discover your AI potential
Contact usJoin
us!
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.
