Data science and machine learning

You would you like to gain deeper insights into your company's data? You would you like to improve and automate your processes, using statistical models?

We can support you!

We use artificial intelligence (AI) and machine learning (ML) to develop your data-driven products and solutions. These methods allow hidden patterns in your data to be identified and taken into account.

Consulting

Not every problem can be solved by machine learning. Conventional software development often helps to reach your goal more effectively. But for you, which option is the better one? Should you use the traditional way to solve your problem, or should you prefer machine learning? We can help you to find out.

Data mining and exploration

In order to obtain insights into your data, we conduct an exploratory analysis. As a result, we discover patterns or correlations and visualize the findings. If you do not have sufficient data, we can aggregate them from the web.

Modeling

Our data science team has experience with a broad spectrum of statistical and machine learning models. We identify and test different models that might be suitable for your problem. We will explain the advantages and disadvantages of the different approaches and advise you in your decision-making.

Implementation and integration

We work with various open source machine learning (ML) frameworks, such as PyTorch, Tensorflow, Keras, Numpy, Scipy, Edward, PyMC3, Scikit-Learn, etc. ML models can be deployed via Docker containers. Integration can be done via a RESTful API or a front-end application.

Cloud

ML models can be deployed as cloud applications (AWS, Azure, Google Cloud Computing).

Areas of expertise

Our data science team is experienced in the following domains:

Natural language processing (NLP)

  • Information extraction
  • Questions & answers
  • Chatbots

Computer vision (CV)

  • Image classification
  • Object recognition
  • Object segmentation

Predictive analytics

  • Customer segmentation
  • Recommendation systems
  • Fraud detection
  • Anomaly detection
  • Predictive maintenance
  • Time series predictions