Interactive Demonstrations
Each demonstration is designed to illustrate that it is possible to implement practically any type of solution with the tools we offer. Starting from concrete cases, we show how AI and automation can effectively address a wide variety of issues. These use cases make it possible to evaluate the available technical capabilities and imagine personalized scenarios.
Our approach is iterative: we regularly integrate user feedback and take into account the constant evolution of the sector. All demonstrations are designed to meet a real need, according to fundamental principles that guide our work: respect for privacy, transparency, accessibility, and technological independence.
Respect for privacy is a priority. We exclusively use fictional or public data, and do not process any personal data without explicit consent, in accordance with the GDPR and our ethical commitments.
We also value transparency: all our demonstrations are open source, with free access to the code used. This allows users to understand, test, adapt, or deploy our examples according to their needs. However, the details of internal workflows or agents used remain confidential, as they represent an essential part of our expertise.
Independence is ensured by using open source models that are locally hosted or freely accessible, without depending on proprietary platforms. For specific uses, paid models — more reliable, stable, or performant — can be used. Nevertheless, our demonstrations aim to prove that spectacular results are possible with free and self-hosted solutions.
Each demonstration can be viewed directly online, installed on-site, or deployed in a dedicated and secure cloud environment. This flexibility allows for optimal adaptation to the technical and organizational constraints of each client.
Our solutions are offered at a single rate. In the case of integration with third-party paid services or models, additional fees may apply — always clearly indicated, with complete transparency.
Finally, we ensure clarity of results: each demonstration includes documentation on its performance, limitations, and any costs incurred. This transparency allows the client to make informed decisions with complete autonomy on the next steps.
By combining openness, modularity, and pragmatism, TMS offers an ideal framework for experimenting with, projecting, and implementing AI automation solutions. Our demonstrations do not aim to train, but to prove what is possible to achieve — and to open a constructive dialogue around each expressed need.
