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Data & Artificial Intelligence

  • We build AI applications and data pipelines for data offices, IT departments and business functions (e.g. manufacturing).
  • Beyond our expertise in AI technology (e.g. ML/DL/LLM), we excel at rapidly developing a proof of concept and transforming it into a production-ready enterprise AI application.
  • From 2015, we have developed more than 50 AI applications for leading organisations in various sectors, such as automotive, aerospace, defence, life sciences, retail and more.
Get in touch with our experts

Our services in data & AI

A hand points to a complex network of interconnected nodes and lines on a digital interface. The nodes are marked with white labels featuring alphanumeric codes, and the lines are in various colors, indicating different connections and pathways. The background is dark.

Spotting AI use cases

  • Identification of AI opportunities that enhance your business and deliver positive ROI
  • Feasibility and scaling checks, prototyping
A professional woman using a tablet in a data center with rows of server racks, visually enhanced with glowing blue digital data streams swirling around her.

Getting data AI-ready

  • Data cleaning, aggregation, transformation, reduction, feature selection and engineering
  • Data governance and management
A person with short blond hair wearing glasses is seated at a desk with three computer monitors displaying code. The scene is set in a modern, dimly lit office with rows of server racks in the background. A desk lamp and a cup of coffee are also visible.

Scaling AI for production & monitoring performance

  • Deployment strategy, model optimisation, infrastructure optimisation
  • Model performance monitoring & improvement
Three people are collaborating in an office environment. One person is seated and working at a computer, while the other two stand nearby, engaging in discussion. The office has a modern, professional atmosphere with glass partitions and various equipment in the background.

Technical support

  • Data science
  • Data engineering
  • Data governance
  • Data analytics 

Common challenges in data & AI projects

Most AI projects fail because of inadequate understanding of business processes and operational limitations.

Inefficient AI model & data pipeline increase the cost & the energy consumption

LLM opens up numerous opportunities by processing unstructured data.

These trends require a partner who possesses a thorough comprehension of the sector's distinct constraints, expert knowledge in AI technologies, and comprehensive capabilities to maintain data quality throughout the training and inference processes.

Expleo’s approaches to implement and scale AI in your organisation

Deep understanding of sectors’ unique constraints 

Ensuring AI systems make sense and can efficiently scale, all while ensuring compliance with industry standards and legal requirements

Leveraging the team’s experience deploying multiple AI solutions across a wide variety of environments and sectors 

We can easily select and combine the ML/DL/LLM models that are best suited to our customers’ needs.  

A global team of data & AI with over 500 consultants  

Covering the full spectrum of data value chain: data science, data engineering, data governance and data analytics. 

0 %

client retention

0 % NET

promoter score and time to market

reduced by 50%

Partner with

AWS and
Microsoft Azure

FAQ

We deliver our data & AI services to more than 30 countries all over the world.

We cover the frameworks such as TensorFlow, PyTorch, Scikit-Learn, Hugging Face, Azure, AWS, Google Cloud, Kubernetes, Kubeflow, Collibra or Palantir so that our solution fits your business needs and what you are most comfortable with. 

We support different needs such as work packages, Time & Material (team develops and supports), managed Service (Cloud) – build and run, scaled Agile pods and specialist skills provided ad hoc.