Building trusted AI with AdvanThink 

Today, deploying Artificial Intelligence models has become a major strategic asset for organizations. What's more, the adoption of ethical and trusted Artificial Intelligence is becoming increasingly popular.  

In its "Observatoire de l'AI responsable" published in January 2025, the Collectif Impact IA pointed out, for example, that for 83% of AI users in the professional context, the development of trusted AI is essential or indispensable. 

At AdvanThink, we've been committed to building trusted Artificial Intelligence for 35 years, and this aspect has always been integrated "By design" into our solutions. With over 1,000 Data and AI projects put into production for our customers in sensitive sectors, we have developed a 360° approach to creating ethical and trusted AI, in the service of operational excellence and the liberation of our customers' skills. 

Trusted AI: what are we talking about? 

In 2019, the European Commission published ethical guidelines for trustworthy AI and defined trustworthy AI as: "Trustworthy AI has three components, which should be met throughout the system's entire life cycle: (1) it should be lawful, complying with all applicable laws and regulations (2) it should be ethical, ensuring adherence to ethical principles and values and (3) it should be robust, both from a technical and social perspective s " 

The adoption of trusted AI therefore has several facets: 

• Compliance with regulations: to date, we can cite European regulations that frame AI or data exploitation such as the RGPD, the AI Act or those that raise the privacy and security standards of digital providers such as NIS 2 and DORA. 

• Ethics: a trustworthy AI is not built on societal biases, but remains impartial and transparent about the choices it makes. 

• Robustness: and let's not forget sustainability. A trustworthy AI is one that is robust, scalable (from a technical point of view) and sustainable (that lasts over time and respects environmental principles). 

Adopting trusted AI therefore means being at the crossroads between human, social and technical. It means adopting a responsible approach to Artificial Intelligence, which takes into account risk, ecological reality and the impact of our AI models on our society. All this while preserving the ability of AI to perform, and thereby improve the individual performance of an organization or company. 

AdvanThink: a trusted framework for your Data projects 

AdvanThink has always incorporated the principles of trusted Artificial Intelligence into its service offering. 

For AdvanThink, this includes : 

• Sovereignty and security 

AdvanThink is a 100% French, independent company. Our solutions are governed by European data processing law, and meet the most stringent security requirements of vital sectors such as government services, banking and finance, and healthcare. Our teams are constantly aware of the importance of good security practices, both in the design of our solutions (which are Secure by design) and in their day-to-day work.  

• A team of Data experts at your service 

Working with AdvanThink means working with a team of Data experts who support our customers at every stage of their Data project: consulting, requirements definition, project implementation or support... Our team of experts, 80% of whom are dedicated engineers and researcher-engineers, adapts to your needs and Data maturity and maximizes the value brought by Data and AI in your organization. Working with AdvanThink is the assurance of operational excellence, in contact with professionals renowned in their fields of expertise. 

• Expertise in handling highly sensitive data 

AdvanThink was founded in 1990, 35 years ago today, as a response to the European ESPRIT project (European IT research program launched in 1989 by the European Commission).The exploitation of highly confidential and sensitive data is in our DNA. Today, we are the European leader in bank payment fraud detection, and work with sensitive sectors such as banking, the public sector and bioinformatics. 

Key features for the adoption of trusted AI 

• Data quality and reliability 

Data quality is the starting point for trusted AI, and enables the implementation of high-performance, reliable and controlled analyses and models. Our software includes all the functionalities required to exploit quality data and ensure its observability. Our functional operators are designed to enable data experts to set up the most efficient and reliable data transformation pipelines.  

• ML Ops approach 

AdvanThink's Amadea and FraudManager software incorporate an ML Ops approach that standardizes the process of putting Machine Learning models into production (model setup, automation, industrialization). Our tools provide a centralized environment that enables data experts to build, monitor and maintain Machine Learning processes. This management of the Machine Learning model lifecycle is totally centralized, in a seamless environment.  

• Explainability of models 

With AdvanThink: no black box effect! 

All the Machine Learning algorithms available in our software are accompanied by Explicability functionalities, enabling you to understand them and their influencing variables. The results produced by our algorithms combine performance, relevance and reliability. It is therefore very easy to describe an Artificial Intelligence model created in our tools, as well as its expected impact. 

• Traceability  

Thanks to our visual interfaces, processing history management and collaborative work functions integrated into our Amadea and FraudManager software, all actions carried out in your data pipelines are easily identifiable, understandable and shareable. Traceability has been in our DNA since the creation of AdvanThink, and we are working to establish a trusted AI for companies and their customers. 

• Frugality 

Since their creation, our tools have been developed with performance and energy efficiency in mind. Our technologies are based on a C++ core, making our applications highly energy-efficient. According to state-of-the-art studies, C++ development consumes on average around 56x less energy than processing in Python, for example. We measure the energy consumption of our solutions (infrastructures, models and projects) and are constantly improving the performance of our solution engines to optimize their impact. 

AdvanThink is committed to raising its standards on a daily basis, in a growing quest for transparency and responsibility. The development of safer AI is one of our motivations, and we are committed to maintaining our high standards. Because at AdvanThink, we believe it's our collective responsibility to help build a better world through the use of AI!  

To find out more about our solutions, contact us!