What we do?
Building data science products and services can be tricky. In order to validate AI ideas quickly and to always deliver the best experience to the end users, we take the minimum viable product (MVP) approach to data science.
Machine learning (ML) is a field of computer science that gives computers the ability to learn without being explicitly programmed. ML can find insights from large data sets that would be impossible with conventional tools as well as it can be used to predict outcomes and user profiles in almost all industries. We work with applied and scientific AI in order to come up with the best use cases for your business.
Distributed computing, sometimes also known as "Big Data", is the concept of being able to store and process huge amounts of data quickly. This can be useful in many analytics areas but also is one of the key technologies that has started the AI era. We can help you build your Hadoop or Spark clusters to make your data accessible.
AI PoC development
One of the core values of a MVP is develop the bare minimum and validate your use case very early on in the product development phase. One of our key competences is to come up with potential AI use-cases in your industry and develop AI PoC-s quickly to validate your ideas in the market fast.
Not all companies are on the same level of data science readiness. We help you determine all the steps necessary to start working with your data. In addition we can help out in developing a data science strategy as well as building a data science team in your company structure.