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Antoine Moissenot and the Business Hidden in the Rows
A birthday launch, a twelve-year friendship and a career spent making complicated systems useful. Antoine Moissenot’s route to Neuralk runs through public procurement and into the everyday data of business.
Obviously AI Put a Data Scientist in a Button
For seven years, a San Francisco startup tried to turn spreadsheets into useful predictions without making business people learn Python. The idea worked, the market moved, and the ending says as much about AI software as the product did.
Fundamental
Fundamental is a San Francisco AI company building NEXUS, a Large Tabular Model (LTM) - a foundation model purpose-built for the structured, tabular data that powers enterprise decisions. Pre-trained on billions of real-world enterprise tables, NEXUS aims to bypass manual ETL and feature engineering, letting enterprises predict demand, price, churn, and other outcomes directly from their databases.