Why partner with us

Collaborate with Valoso Hub and you’ll work with some of the world’s leading researchers in artificial intelligence and machine learning. Our multidisciplinary teams carry out comprehensive R&D programs that focus on the computational principles underlying intelligence in man and machines, then develop methods for bringing them to life. Our researchers collaborate across disciplines including:

  • Machine learning
  • Predictive modeling
  • Deep learning & neural networks
  • Reinforcement learning
  • Natural language processing
  • Anomaly detection
  • Robotics & Sensors
  • Signal processing
  • Systems architecture and engineering
  • Expert and knowledge-based systems
  • Autonomous robots
  • Multisource information integration

Providing machine learning development & artificial intelligence consulting to startups and large enterprises we noticed that although the company structures may be totally different, both startups and enterprise clients face the same challenges planning new data initiatives. Our clients either don’t have their own data science teams, or their team is too small to cope with all the tasks in the environment of a fast-growing company. Our data science services help companies save time on hiring top notch specialists. We provide a team of world-class data scientists that bring know-how to your project from day one.

What do we offer

with Artificial Intelligence & Machine Learning for industries


AI and machine learning assist in prediction or suggestions based on data collected by the system. The users’ past data can be used by AI systems to provide recommendations for their future actions. We can find use of such AI systems in industries which use Big Data, like healthcare, telecom, manufacturing, etc. New & social media applications also use such AI systems for enhancing user experience and behaviour. Some such examples can be seen in Facebook, YouTube, Google, etc.


Artificial Intelligence (AI) is a kind of simulation that involves a model intended to represent human intelligence or knowledge. An AI-based simulation model typically mimics human intelligence such as reasoning, learning, perception, planning, language comprehension, problem-solving, and decision making. Rule-based knowledge representation is commonly used for building AI-based simulation models. For example, in simulation of manufacturing process of a car AI helps to predict the outcome of the simulation based on users’ actions.


Deep Learning combines advances in computing power and special types of neural networks to learn complicated patterns in large amounts of data. Deep learning techniques are currently state of the art for identifying objects in images and words in sounds. Researchers are now looking to apply these successes in pattern recognition to more complex tasks such as automatic language translation, medical diagnoses and numerous other important social and business problems.


We use the best technologies available on the market, and we are constantly adding new ones.

  • Python
  • R
  • TensorFlow
  • Theano
  • SciKit Learn
  • Spark MLib
  • Stan
  • PyTorch
  • AWS Lambda
  • AWS EC2
  • AWS ML


And build a great product together. Get in touch with us.