Analytics

Data Collection & Preparation

In cooperation with our business activity on building datasets, we gather data from a range of sources. Depending on applications this can include internal databases, APIs to external sources, sensor data integrations and more. We use a range of methods to remove inaccuracies, inconsistencies, duplicates etc. This activity is what we have used as a foundation to build our service offering on data sets (in narrow verticals) for use with natural language models.

Data Analysis and Modeling

Depending on the use case, we use a range of different methods to analyse the data, identify patterns and in many cases predict future trends. As a part of this we have a set-up to cross-reference many data types, where we combine information from different data sources or datasets to evaluate the data and verify accuracy. We utilise a team with a diverse skill-set; covering both quantitative science and social sciences (economics and other backgrounds).

Type of projects

Our experience is mostly from the energy, maritime and aquaculture industries. However, our tools and approaches are generic in nature, and we can cover other industries. Most of our tools and solutions are either open source or developed by us, and we have a range of licensing options. This includes delivering white label solutions. Normally we use partners for the user interface, and focus on low level systems.