Context
KickMaker is a firm specializing in industrialization and robotics that wanted to structure an AI & data division to :
- to meet the growing needs of its customers for intelligent solutions,
- develop internal research projects to innovate in its businesses.
Need
- Business development: define an attractive and differentiating AI/data offering.
- In-house training: upgrading the skills of engineers and project managers.
- Recruitment: attracting the right data/IA profiles.
- Data management: centralize and organize customer and internal data.
- Cloud resources: designing a scalable, controlled infrastructure.
- Project management: launch and manage both customer projects and R&D work.
Completed work
Over the past two years, we have supported Kickmaker in the following tasks:
- Creation of the AI & data division and formalization of the dedicated offering.
- Customized training courses for teams (data methodologies, machine learning, MLOps).
- Recruitment support for data scientists and AI engineers.
- Implementation of a data management and processing platform (ingestion, quality, cataloguing).
- Architecture and management of cloud resources (provisioning, costs, security).
- Support for sales processes.
- Réalisation de projets clients et R&D :
- in-house applied research studies,
- development of AI POCs on industrial use cases,
- creation of synthetic data generation tools,
- multi-dimensional analysis and data visualization,
- participation in collaborative research projects with external partners.
Results
- Fully operational AI & data division with a packaged offer aligned with market needs.
- Over 20 engineers trained in AI and data best practices in two years.
- Recruitment of key profiles (data scientists, MLOps engineers).
- Delivery of several validated customer POCs, paving the way for industrial deployment.
- Synthetic data generation tools and operational analysis pipelines, supporting R&D developments and co-innovation with external partners.