Table data is a wide term that includes structured data that generally fit with a specific row and column. The SQL database, a row, a .csv file, etc.
While there is tremendous progress in artificial intelligence applied to non -structured and sequence data, these large linguistic models are vague depending on the design. It is designed to treat input codes to create a coherent output without necessarily followed a fixed structure. The best LLMS is either expensive to access via an expensive application programming interface to run on your cloud infrastructure.
However, many companies already have a data strategy with a data warehouse or a lake data to focus all important data and some data scientists who can benefit from this data to improve the company’s strategy.
French startup Neuralk-Ei It is the artificial intelligence company that works on artificial intelligence models that focus on tabular data. The company announced this week $ 4 million in financing.
“Data of real value for companies is the data that has been identified a long time ago, has been organized in the form of a table, and is used by data scientists in these companies to create all automated learning algorithms”, co-founder of Nuealk-Aa and the chief scientist Alexander Basco said to Techcrunch.
Neuralk-AAI believes that there is an opportunity to reconsider the development of the artificial intelligence model, but with a special focus on organized data. Initially, you plan to present its model as the father love Data – Think about product catalogs, customer data rules, shopping vehicle trends, etc.
“Today, LLMS is great for research, natural user interaction, and answering questions based on undistical documents. But he has some restrictions at the moment we go back to classic automatic learning, which truly depends on classic tabular data.”
With Neuralk-Ei, retailers can automate complex workflow tasks with data with an intelligent enrichment and enrichment. But they can also use the company’s models to detect fraud, improve product recommendations, and generate sales expectations that can be used to manage stocks and pricing.
Fly Ventures led the 4 million -dollar company tour with Steamai. Many commercial angels have also invested in starting, such as Thomas Wolf from Hugging Face, Charles Gorintin, Alanetin, Philippe CSple and Nagi Letlifa from Mirakl.
The team is still actively working on its models. It plans to test with a group of leading French retailers and commercial companies, such as e.leclerc, auchan, Mirakl and Lucky Cart.
“Within three or four months, we will issue the first version of our model and the general standard that we will be able to classify our model compared to the case of modern in this field,” Pascio said. “In September, the idea is to be the best basis of my tabling basis in everything related to acting learning.”