AI and Data Science

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AI and Data Science

Whether in collaborative research, technology transfer, proof-of-concept development or AI experimentation, our teams of experts are committed to making AI more accessible and tangible for businesses, organizations and society. LIAT offers tailor-made services to businesses and organizations to help them successfully adopt AI and maximise its impact on their activities.

Within the framework of consulting contract lasting a few months, we support organizations with the aim of leading them to make advanced and effective use of AI and improve their productivity, which in turn generates positive repercussions for society.

Because of the gap between commercial applications of AI and academic research in this field, organisations sometimes have difficulty finding and choosing the right technologies to solve particular problems. To bridge this gap, LIAT works with industrial partners on complex and high-impact projects.

Whether your project requires natural language processing, computer vision, precision agriculture based on computer vision and robotics, energy efficiency, improved sorting of recyclable materials or other forms of expertise, our team’s skill set can help you achieve your goals.  From the earliest stages of AI projects, our specialists and experts aim to establish proofs of concept to help organizations grasp the full value of machine learning.

Our teams strive to fully understand the problem to be solved and how a machine learning model will be used in production. The success of our approach is largely due to a solid understanding of the datasets entrusted to us and rigorous experimental protocols put in place based on the objectives of the projects.

Listening to companies

Through the professional development advice and consulting, LIAT meets to the demand of businesses. Our team can:

  • Help formalize the problem.
  • Contribute to defining a rigorous experimental protocol.
  • Assist in selecting the best machine learning models.
  • Provide guidance on the implementation of AI models.
  • Offer opportunities to recruit top-level talents.
  • Provide training and scientific events.
  • Conduct applied or fundamental research projects.
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