• 1

    Systems integration

    software for integrating different instruments into one cohesive instrument, including the integration of small microcontrollers, such as Arduino for example.

  • 2

    Computer vision

    software for the detection of objects in an image using deep neural networks using Google's TensorFlow library.

  • 3

    Data analysis

    software for constructing complex fitting functions for experimental data.

  • 4

    Database server

    software for storing and retrieval of measured data.

  • 5

    Control service

    software for controlling one or more process variables (temperature, pressure, etc.)

  • 6

    Reviving of legacy code

    updating legacy with new features, including debugging.

  • 7

    Consultation service

    providing recommendations as to which instrument has the advantage of being easily integrable into an automated setup.