Neuralk-AI is developing AI models specifically designed for structured data
Summary
It can be an SQL database, a spreadsheet, a .CSV file, etc.While there has been tremendous progress on artificial intelligence applied to unstructured and sequential data, these large language models (LLMs) are fuzzy by design. They are built to manipulate input tokens to generate a coherent output without necessarily following a fixed structure. The company this week announced $4 million in funding.Data with real value for companies is data that was identified a long time ago, structured in the form of a table, and used by the data scientists of these companies to create all their machine learning algorithms, Neuralk-AI co-founder and chief scientific officer Alexandre Pasquiou told TechCrunch.Neuralk-AI thinks theres an opportunity in revisiting AI model development, but with a specific focus on structured data. At first, it plans to offer its model as an API to data scientists working for commerce companies because these companies love data think product catalogs, customer databases, shopping cart trends, etc.Today, LLMs are great for search, natural user interaction, and answering questions based on unstructured documents. Several business angels also invested in the startup, such as Thomas Wolf from Hugging Face, Charles Gorintin from Alan, and Philippe Corrot and Nagi Letaifa from Mirakl.The team is still actively working on its models.