This piece examines why structured data represents the next $600bn opportunity for AI adoption. It shows how Predictive AI and tabular foundation models can transform how enterprises deploy predictive capabilities on their data, with clearer ROI and production-ready performance.

A joint interview with Business Times: "Created a year ago by Antoine Moissenot and Alexandre Pasquiou, Neuralk-AI develops AI models that help data science teams improve their predictions across a range of concrete use cases"

Neuralk AI joins the 2025 French Tech 2030 cohort! This recognition will help us accelerate our mission to bring Frontier AI to Enterprise data, with a foundation model purpose-built for tabular business data.

Discover how retailers can transform product categorization from a tedious task into a strategic driver of sales.

The article covers the LSA IA Tech For Business Awards 2025, highlighting Neuralk AI’s Jury’s Favorite Award for its tabular foundation model.

Introducing TabBench, an open-source benchmark built by Neuralk-AI to evaluate tabular ML models on practical, real-world industry tasks, starting with commerce-related use cases.

Discover how Tabular AI can outperform classical ML with instant predictions and minimal manual effort.

LLMs are good general-purpose tools. But when the stakes are high and the data is complex, Tabular AI can truly make the difference.

We put our Tabular Foundation Model head-to-head against the recently released LLM-based classifier from Mistral AI, focusing on Product Categorization.

The article explores tabular foundation models and structured data as a new AI frontier, and reports on our $4M raise to accelerate R&D in Predictive AI.

This TechCrunch article explains why structured, tabular data remains central to enterprise value, and how Neuralk-AI is building Predictive AI models purpose-built for production use cases on enterprise data.