The company is building a new AI architecture based on topological neural networks, which learn from structure and multipath interactions within data, unlike graph-based neural networks used in most large language models. Arlequin has deployed a scalable platform that analyzes heterogeneous data including documents, transactions, video, and operational information. The $32 million round was co-led by Redalpine and OTB Ventures, with participation from Bpifrance’s Defense Innovation Fund, existing backers Vsquared Ventures and 10x Founders, and new investors Xavier Niel and Zebox.
The funding will be used to scale the proprietary model, expand the international team, and accelerate commercial deployment across Europe and globally. Arlequin has opened offices in London and Berlin and plans to establish an AI lab in Silicon Valley.