Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
The company's AI tool was built to make sense of structured data, an area where large language models struggle.
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
Fundamental, an AI company that has built its most powerful Large Tabular Model ("LTM") to drive predictions from enterprise data, announced today it is emerging from stealth with $255M in funding.
Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets. Large-language models (LLMs) have taken the world by ...
Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of ...
In San Francisco, an enterprise data management and analytics platform called Fundamental has opened its doors with funding of $255 million, and launched its first product, NEXUS. This uses a 'Large ...
The memory chip market is going through a massive boom phase, thanks in large part to the skyrocketing demand from AI, which needs huge amounts of fast, reliable memory to run complex models. HBM ...
For years, the industry standard for data ops has been a ticket-based service bureau. A product manager wants a new dashboard? Ticket. A data scientist needs a new feature pipeline? Ticket. A ...
In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...
Discovery of structured data for litigation and investigations isn’t new, however, the proliferation of enterprise-wide ...
With 2026 off to a strong start, investors may wonder whether the adage “As goes January, so goes the year” will again hold true for the Model Shadow Stock Portfolio.
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