Paris-based Arlequin AI raises €28 million in a Series A round to develop AI models that learn complex relationships across large datasets. Its architecture uses topological neural networks rather than graph-based networks, and its platform analyzes documents, transactions, video and operational information. Redalpine and OTB Ventures co-lead the round, joined by Bpifrance’s Defense Innovation Fund and other investors. Arlequin plans to expand its international team and accelerate commercial deployment.
Paris-based Arlequin AI raises €28 million in Series A funding to develop its topological neural network architecture and expand internationally. The round is co-led by redalpine and OTB Ventures, with participation from Bpifrance’s Defence Innovation Fund, existing investors Vsquared Ventures and 10x Founders, and Xavier Niel. The company’s platform analyses connections across documents, transactions, video and operational data, and its technology is already used by governments and large organisations in Europe.
