Innovation & DataLab
A Hub for Innovation to Tackle Complex Challenges
At CLS, innovation is both a cultural reflex and a structured organization. To meet the most demanding technical, scientific, and environmental challenges, we created a dedicated Datalab: a true engine for exploration and experimentation in big data, artificial intelligence, and machine learning.
Designed as a cross-functional innovation accelerator, the Datalab operates in synergy with all departments across the group. It transforms massive volumes of data into practical decision-making tools for complex projects with environmental, societal, or industrial stakes.
Innovation is also embedded within every business unit at CLS—from environmental and climate monitoring to sustainable fisheries management, maritime security, mobility, energy, and infrastructure.

In each of these areas, Innovation & Solutions teams collaborate closely with operational experts to develop tools that align with real-world applications. This structure ensures constant attention to customer needs and continuous adaptability.
With 31 locations worldwide, our teams maintain close ties with users in the field. This proximity enables us to collect, document, and analyze feedback on a daily basis, driving agile and relevant solution improvements.
We also host regular Customer Labs—true co-innovation spaces—where clients are given the floor to help identify innovation drivers, improve our services, and prioritize high-value developments.

At CLS, Innovation is More Than a Buzzword — It’s Part of Who We Are
But these tools, however powerful, mean little without two essential foundations: the depth of our data archives, patiently built and maintained over 40 years in our data centers, and the sharp sector-specific expertise of our people.
This unique combination of technology, data heritage, and domain knowledge allows us to deliver relevant, operational, and strategic information tailored to the industries we serve.
Innovation at CLS: A Core Philosophy That Drives Us at Every Level

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