Fundamental

Fundamental is an AI company building scalable, general-purpose foundation models for enterprise decision-making on structured, tabular data. Its technical work spans large tabular models, meta-learning, architecture research, generative modelling, in-context learning, code generation and large-scale systems, and is aimed at what the company describes as fundamental machine-learning problems rather than narrow applications.

The company's product, NEXUS, is a Large Tabular Model (LTM) designed for the structured records on which enterprise decisions rest. Built as a foundation model, it draws on shared experience across billions of examples and adapts to novel tasks through in-context learning. Fundamental notes that trillions of dollars in business decisions are made annually on tabular data, and that its models are trusted by Fortune 100 companies, with customers concentrated in enterprise software, financial services and data and analytics.

The company was founded by DeepMind alumni and states its mission as creating a world of abundance by giving humanity the Power to Predict. It describes a research-focused culture and reports backing from world-class investors. Further details on funding stage, team size and geographic presence are not disclosed. Website: https://fundamental.tech/