dotNear helps customers leverage Artificial Intelligence & Machine Learning. This includes enhancements to client’s proprietary AI & ML products, and also building complex machine learning applications.

Most commercially successful software applications are beginning to include artificial intelligence – from bots, online sales to algo-traders and other services, where past and general behavior can provide a better experience for each user.

dotNear can provide nearshore AI/ML engineers with expertise ranging from data preparation (data scraping, data wrangling, cleansing and pre-processing) to deep learning architectures (deep neural networks, deep belief networks, recurrent neural networks). We can help build, train, deploy and operate Machine Learning models fast.


  • Python
  • C/C++
  • R
  • Java
  • C#


Machine learning libraries and engines

  • TensorFlow
  • Scikit Learn
  • Pytorch
  • Keras
  • KNIME 


  • Google AI Platform (Unified)
  • AWS Machine Learning, Amazon SageMaker
  • Microsoft Azure Machine Learning (Azure ML)


Previous machine learning projects:

  • Natural Language Processing project to parse and analyze human trading information
  • Sales prediction algorithms based on historical data
  • Image recommendations, using deep learning, computer vision, assisted and unassisted Learning large set of images
  • Social network filtering and recommendation