With a team of about ten machine learning experts, Neuralk-AI is already collaborating with major names in Retail, such as E.Leclerc, Auchan, Mirakl and Lucky Cart to revolutionize how they leverage their data tables to boost their business performance.
The funding round was led by Fly Ventures, with participation from StemAI, Thomas Wolf (Hugging Face), Charles Gorintin (Alan), Philippe Corrot & Nagi Letaifa (Mirakl), Vincent Luciani (Artefact), Saturnin Pugnet, Xavier Perret (Microsoft Azure), Julien Launay (Adaptive ML), Jean-Louis Quéguiner (Gladia).
"Neuralk-AI's innovation addresses one of the most pressing challenges in commerce: transforming raw structured data into powerful decision-making tools," says Philippe Corrot, co-founder and CEO of Mirakl.
Antoine Moissenot, co-founder and CEO, explains: "This funding will allow us to accelerate our research and the development of our AI model designed for commerce, helping businesses in the sector – retailers, brands, and solution providers – remain competitive in a constantly evolving market."
Address concrete business challenges with unparalleled performance
This funding comes at a time when AI models still struggle to effectively leverage tabular data, a key challenge for players in the commerce sector.
Founded a year ago, Neuralk-AI positions itself as a true pioneer in this field. By developing the first specialized representation models for commerce-related tabular data (product catalogs, customer information, or purchase history), Neuralk-AI enables data science teams at brands and retailers to refine their predictions across a range of concrete use cases:
- Predictive analytics to better anticipate customer behavior and market fluctuations for improved inventory management, pricing strategy optimization, or sales forecasting.
- Customer experience personalization: In-depth analysis of customer profiles, transactions, and behaviors to better target product recommendations, promotions, and personalized content, thereby fostering customer satisfaction and increasing conversion rates.
- Data cleaning and enrichment: Automation of complex tasks such as deduplication, categorization, or enrichment of product sheets, for a better user experience and improved SEO.
- Operational excellence: automation of critical processes such as fraud detection or supply chain optimization, enabling faster and more informed decisions.
Neuralk-AI offers access to its model via an API, which takes tabular data as input and returns a vector representation for each item in the database, allowing for the desired prediction to be made with the highest possible level of accuracy.
“The underlying technology for tabular data has barely evolved in decades, especially in the retail sector where structured data drives most business processes,” says Alexandre Pasquiou, co-founder and CSO of Neuralk-AI. "Our model unlocks the full potential of this data, enabling businesses to go beyond basic statistical analyses or business rules to generate concrete business impact."
At Neuralk-AI, we are pioneers in this field, developing the first tabular foundation model dedicated to commerce. By covering our story, you will be among the first to witness a new wave that will transform the AI landscape globally.
