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.
FEATURED
Discover how to integrate AI at scale across your business
Business leaders share perspectives on the growth of AI, guidance on how to AI projects, and the most common and effective AI use cases.
Our services in data & AI
Spotting AI use cases
- Identification of AI opportunities that enhance your business and deliver positive ROI
- Feasibility and scaling checks, prototyping
Getting data AI-ready
- Data cleaning, aggregation, transformation, reduction, feature selection and engineering
- Data governance and management
Scaling AI for production & monitoring performance
- Deployment strategy, model optimisation, infrastructure optimisation
- Model performance monitoring & improvement
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.
client retention
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.
