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.

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.

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.

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.