We support the design, modernisation and industrialisation of software and data solutions. Our complementary expertise in software engineering, digital continuity and data value creation transforms business needs into robust, interoperable and scalable digital products.
We approach AI as a concrete, industrialisable, measurable and responsible performance lever, supported by an AI & Data Centre of Excellence established in 2016. We embed AI across all our areas of expertise to enhance them from planning, decision support, automation and optimisation to the reinforcement of technical foundations such as data quality, pipelines, industrialisation, governance and monitoring. This cross-functional integration capability enables the deployment of AI that is flexible, controlled and directly aligned with our clients’ operational challenges.
Three complementary practices
We bring together the capabilities required to engineer robust software products, connect business-critical systems through a digital continuity approach, and turn data into tangible drivers of performance and innovation. This integrated model enables the convergence of architecture, delivery, business use cases and data governance within scalable solutions. We operate across the full digital value chain: application development, cloud-native architectures, integration of enterprise systems such as PLM, MES and ALM, as well as data platforms, analytics and AI-enabled transformation.
Software product engineering
We cover the implementation of cloud-native architectures, DevOps practices and business-oriented application development, with a clear objective: accelerating value delivery without compromising quality or operability.
Our teams support clients across application architecture, API design, CI/CD pipeline industrialisation, deployment automation, software quality, built-in security and production operations. DevOps, in turn, helps reduce time to production, secure releases and improve the reliability of system evolutions.
Digital continuity and digital solutions
We ensure digital continuity across systems, teams and every stage of the product and process lifecycle through structuring enterprise solutions such as PLM, MES and ALM, and through their integration into the company’s information system.
Our teams work on process modelling, system interfaces, business data flows, master data governance, application lifecycle rules and cross-tool consistency. The objective is to make information more reliable, more traceable and more actionable across engineering, industrialisation, production and support functions.
Data, AI and advanced analytics
We transform your data into operational, decision-making and predictive assets. Our expertise spans data management, analytics and artificial intelligence, through an approach centred on use cases, industrialisation and governance.
The objective is not merely to produce models or dashboards, but to build a reliable data value chain: collection, quality, structuring, governance, analytical exploitation and the deployment of AI use cases that are genuinely operational, including automation, decision support, anomaly detection, prediction and optimisation.
We work with many leaders across a wide range of industries