The value of AI lies in the quality and accessibility of your data. Our Data Engineering service puts an end to information silos and "handcrafted" pipelines, preparing your data for AI. We build centralized, robust, and scalable data infrastructures for you, designed to industrialize your Machine Learning projects and prepare you for future collaborative data ecosystems.
Our Key Competencies
- Data Centralization & Reconciliation: We break down silos by designing unified data platforms that reconcile your heterogeneous information, creating a single source of truth for your entire organization.
- AI Industrialization (MLOps): We bring your most demanding Machine Learning models into production, ensuring their performance, monitoring, and maintenance, including for applications with strict real-time constraints.
- Advanced Data Modeling: We go beyond simple storage by mastering data models specific to your business (e.g., FHIR in healthcare) and leveraging the power of graph databases to reveal complex relationships.
- "Data Spaces" Support: We guide you in the development and integration of "Data Spaces," which are sovereign and collaborative data spaces that are redefining exchanges within your sector.
Your Benefits
- Strategic Decisions Based on Facts: Base your analyses on complete and reconciled data.
- Accelerated Innovation: Move from prototype to production smoothly and securely.
- Technological Independence: Rely on robust, open-source solutions that you own.
- Future Vision: Prepare your company for the data economy of tomorrow.
Contact
Finance
Working with CETIC
Related R&D activities: Efficient data engineering
