Paris-based startup Neuralk-AI has raised$4 million to develop AI models tailored for structured data, such as databases and spreadsheets. Unlike traditional AI, which excels at unstructured content like images and text, Neuralk-AI's approach aims to help businesses extract deeper insights from their existing data warehouses. Retailers, in particular, could benefit from its models, using AI to optimise inventory, detect fraud, and refine customer recommendations.

The company, co-founded by Alexandre Pasquiou, plans to launch its AI models as an API for data scientists in commerce-focused industries. By automating complex workflows and enhancing data analysis, Neuralk-AI hopes to offer a more efficient alternative to traditional machine learning tools. The startup is already collaborating with major French retailers such as E.Leclerc and Auchan to test its technology.

Backed by Fly Ventures, SteamAI, and industry leaders including Hugging Face's Thomas Wolf, Neuralk-AI is working towards becoming the leading AI solution for structured data. The first version of its model is expected to launch in the coming months, with a full benchmark release planned for later this year.