Arlequin AI Raises €28M and Plans a Laboratory in San Francisco

The French start-up Arlequin AI has announced a €28 million funding round to accelerate the development of its data analysis platform. Founded in 2024 in Paris, it relies on international academic partnerships and targets sectors such as finance, public actors, cybersecurity, and media.

Nearly 50 employees, about thirty clients, and academic partnerships

Arlequin AI employs nearly 50 people, two-thirds of whom are researchers and engineers. The company collaborates with around thirty clients across France, Germany, the United Kingdom, and Eastern Europe. It works with research teams from the universities of Oxford, Cornell, and Princeton, as well as with CNRS and Inria. Arlequin AI also plans to open a research lab in San Francisco.

€28 million to develop the analysis platform

The company has announced that it has raised €28 million from investors based in Europe. This funding round aims to continue the development of a data analysis platform for financial institutions and public administrations. Arlequin AI was established in Paris in 2024, founded by Hugo Micheron, a political science researcher specializing in jihadism, and Antoine Jardin, a former research engineer at CNRS.

Connectivity models to link texts, transactions, and videos

Arlequin AI is developing an architecture that differs from the large language models used by chatbots like ChatGPT or Claude. Large language models are trained on vast textual corpora and generate the next word based on context, but they can make mistakes. In contrast, Arlequin AI designs "connectivity models" that, according to the company, allow for the analysis of relationships between heterogeneous data such as documents, transactions, videos, or operational data. For example, in the context of a counter-terrorism investigation, the platform can analyze millions of data points from multiple seized devices to identify links between individuals, locations, communications, and events. The company targets sectors where information has strategic uses, including fraud detection in finance, state actors, cybersecurity firms, and media groups.