Machine Learning and Artificial Intelligence

Build and automate solutions that learn from data to infer knowledge

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Automate and prioritize decision-making processes


Look for patterns in your databases and turn them into actionable information


Build solutions that learn from data and infer knowledge


Solve real-world problems with custom-designed AI technology

Integrate ML and AI into your business

  • Modernize your existing applications with infused Machine Learning.
  • Our Machine Learning professionals work together with your team to understand your goals, make a detailed assessment, and propose a roadmap for accomplishing your project.
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How does it work

  • Exploration and identification We explore your data sources and identify a first reachable goal, the precise business problem to target.
  • Analysis and diagnosis We analyze and check the quality of all affected business data variables necessary to develop a model for your project.
  • Implementation A first draft solution is implemented in a location where it can be used for making predictions. We build this proof of concept as integration with your business process or application.

Results and training

  • We check the achieved results with your team. We analyze the different resulting factors and validate the Machine Learning model.
  • Finally, we will train your team about the solution foundation, the technology used, and assist them by making sure you can use and maintain your Machine Learning solution.
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Empowering Businesses

Speak to a world-leading expert about data and intelligence solutions for your business


Do you also take care of the ETL (Extract – Transform – Load) process in order to bring data in the format required by the ML algorithms?

We will assist you with the Extraction, Transformation, and Loading needed before Machine Learning.

How can I consume the resulting model of the initial explorative workshop?

We usually deploy the model in a RESTful web service endpoint.

Can we use the resulting ML model in production?

If you think the results of the model are acceptable after testing it, you can certainly use it in production.

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