Beyond the Lakehouse: Fundamental's NEXUS Bypasses Manual ETL with a Native Foundation Model for Tabular Data
Fundamental closed $255 million in funding to launch Nexus, a Large Tabular Model for big data analysis, with strategic AWS deployment and Fortune 100 clients secured.
5 Articles
5 Articles
Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data
The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital canvas, the structured, relational data that underpins the global economy — the rows and columns of ERP systems, CRMs, and financial ledgers — has so far been treated as just another file format similar to text or PDFs.That's left enterprises to forecas…
AI start-up Fundamental launches NEXUS, raises $255m in funding
Fundamental, an AI start-up based in San Francisco, California, has exited stealth mode with the public launch of its large tabular model (LTM), NEXUS, while raising $255m in funding. Founded in October 2024, the company secured a $30m Seed round and a $225m Series A round led by Oak HC/FT, with additional investment from Valor Equity Partners, Salesforce Ventures, Battery Ventures, and Hetz Ventures. Notable angel investors include Aravind Srin…
Fundamental launches with $255M and an AI model optimized for tabular data
Artificial intelligence startup Fundamental Technologies Inc. launched today with $255 million in initial funding from a group of prominent investors. The company raised the bulk of the capital through a $225 million Series A round led by Oak HC/FT. The firm was joined by Salesforce Ventures, Valor Equity Partners, Battery Ventures and Hetz Ventures. Fundamental […] The post Fundamental launches with $255M and an AI model optimized for tabular d…
Fundamental Raises $255 Million for AI Large Tabular Model
Artificial intelligence (AI) company Fundamental has teamed with Amazon and raised $255 million. The company, which has developed a “large tabular model” (LTM) to glean predictions from enterprise data, said Thursday (Feb. 5) it will use the funding to scale compute, expand enterprise deployments, and add to its research, engineering, and go-to-market teams. “Enterprises have historically relied on antiquated machine learning algorith…
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