In a market where interactions between different entities are at an all-time high, the need for trust and detection of anomalies and signs of fraud, malfunction and poor quality is now a priority for companies.
Our mission is to provide these companies with the necessary AI-based tools to better understand process dynamics and detect anomalies and outliers.
How to employ artificial intelligence to detect process anomalies?
To industrialise anomaly detection in businesses, we implemented a cross-functional AI solution. It aims to improve operational performance and decision-making. How? By :
- Eliminating outliers from analyses through the extraction of intrinsic patterns in data.
- Anticipating future actions through the identification of specific signatures and deciding the next step accordingly.
- Detecting signs of abnormal behaviour, thanks to our efficient approach.
The features of our AI solution
An AI toolkit for detection and classification
The detection of behaviours and weak signals is heavily dependent on data, context and application. Composed of various algorithms and approaches, our toolkit allows us to tackle a range of issues.
Strong business expertise
All our AI and data experts are also competent in business, enabling them to gain a deep understanding of a company’s business context and put forward the best possible cutting-edge approach.
We have technological partnerships with research institutes such as the Institute for Technological Research (IRT). Thus, our solutions are tested and verified before they are released to clients.
Contact our experts.
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