Neuralk-AI, a French startup, has raised $4 million to develop AI models concentrated on tabular data, challenging the trend of applying AI primarily to unstructured data. With many businesses already employing data warehouses, Neuralk-AI aims to enhance data processing and machine learning by providing an API service for data scientists in commerce. Co-founder Alexandre Pasquiou emphasized the importance of structured data in generating valuable insights, while critiquing the limitations of large language models in classic machine learning scenarios.
"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."
"Today, LLMs are great for search, natural user interaction, and answering questions based on unstructured documents. But it has some limitations the moment we go back to classic machine learning, which is really based on classic tabular data."
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