Evaluate the feasibility of your AI projects

Discover if AI is suitable for your business.

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Typical Results

  • Better understand the chances of success for an AI project
  • Design a technical roadmap for the project
  • Understand what talent is needed to execute the project
  • Localise technical challenges
  • Find out which technical tools (libraries) are suitable for implementation
  • Understand more by evaluating first experiments
  • Improve your company’s exposure to new technologies

“Perelik Soft helped us significantly not only with making first steps in the machine learning area as a company, but also with making use of ML models in production.”

Maxime Regh, Director Fraud Prevention, cleverbridge AG

The process

1
We conduct interviews with your team to understand your goals

2
Together we localise the data for initial experiments

3
We conduct the research and initial experiments

4
Presentation of the results and recommendations for next steps

Deliverables

  • PDF Report on the whole project including:
  • the results of our experimentation
  • technical setup and architecture
  • feasibility evaluation
  • technical roadmap for a future project
  • recommendations about next steps
  • Optional: the code we used for the experiments
  • Time frame: 45 days

Want to learn more how we can help your team?

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Read more on the topic in our blog

AI Engineering Development Process

AI applications often involve not only classical application engineering but also elements of research (Fig. 1). Sometimes it is not clear from the start which approach will be better and one needs to conduct experiments to evaluate multiple approaches.

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Machine learning in autonomous vehicles

Autonomous vehicles (AVs) have been developing at a very high rate in recent years. They are expected to reach a full level of autonomy (level 5) very soon. The main technology for creating autonomous vehicles is Artificial Intelligence (AI) and in particular its subcategories Machine Learning (ML) and Deep Learning (DL).

In this article we will look at the application of Machine learning algorithms in autonomous vehicles.

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Review of computer vision libraries and platforms

Computer vision is a field that has undergone great development in recent years and it is becoming more widespread, both among the industry, as well as in everyday activities and consumer/user applications.

The goal of this post/article is to help researchers, developers and enthusiasts involved in computer vision to gain an overview over some of the most popular and widely used software libraries and tools in this field.

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Clients

Pakadoo
Castor