Corporate Social Responsability Monitoring

Corporate Social Responsibility Monitoring

The industrialization of CSR tracing implies the implementation of processes to control direct links and deducing indirect links between suppliers and companies. This, for the purpose of detecting entities potentially non-compliant with the group's social and ecological charter. In particular, the filial links that are not directly visible on the suppliers' identification cards. Our system can gather heterogenous data from various sources, compare them, and detect abnormal information that economic security departments must investigate.

Our solution is unique

A DAM solution that speaks your business language

Retrieve assets based on invisible information

Fast deployment, fully integrated into your ecosystem

Key features

Trouvé ™: a single interface to access everything

This business intelligence platform allows access, browsing, consulting, and viewing in all meta dimensions.

Trouvé Perfect Memory Product

Main benefits


A single location for the aggregation, storage and referencing of all the documents that make up an investigation. with an efficient interface and search system. A lot of time is wasted on searching for information and documents.


An intuitive tool that allows Economic Security officials to preserve, consult, share, complete, resume and reuse their investigations.


Automatic linking of data, from various publishers, relating to the cases you need to investigate.

Related Business cases


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What is CSR Monitoring?

Corporate Social Responsibility is the policy a company puts in place to integrate social and environmental concerns in their activities.

Those engagements cannot be only words.

Shareholders and Clients are aware of the commitment companies make to environmental efforts, ethical labor practices, and meaningful and respectful actions for humans and the earth.

To ensure that the Corporate Social Responsibility is not violated, companies need to monitor it.

Monitoring of the CSR application requires processing of a massive amount of heterogeneous internal and external data.

That is where Artificial Intelligence and semantics can help, by gathering, cross-linking and detecting abnormal activities.