DeepMind alums bag $255M to launch NEXUS, AI for enterprise spreadsheets
- ByStartupStory | February 6, 2026
Most enterprise decisions are still driven by tables: spreadsheets, databases, and structured records that hold pricing data, forecasts, risks, and customer behaviour.
Yet modern AI has largely ignored this data, focusing instead on text, images, and video. That gap has left companies relying on outdated prediction tools for some of their most critical decisions.
San Francisco–based Fundamental aims to fix this. The AI startup has raised $255 million and publicly launched NEXUS, its most powerful Large Tabular Model (LTM) designed specifically to predict outcomes from enterprise data.
The funding includes a $30 million seed round and a $225 million Series A, led by Oak HC/FT, with participation from Valor Equity Partners, Battery Ventures, Salesforce Ventures, and Hetz Ventures.
With fresh capital, Fundamental plans to scale compute, expand enterprise deployments, and grow its research, engineering, and go-to-market teams.
The company says NEXUS marks the start of a new category of AI, one built not for words or images, but for the tables that drive trillions of dollars in business decisions.
Emerging from stealth
Founded in October 2024 by former DeepMind researchers, Fundamental is emerging from stealth with a clear focus: helping enterprises predict what happens next, not just analyse what already happened.
“We’ve built a generalised foundation model specifically to leverage the world’s most valuable data: the billions of tables that underpin predictions in every enterprise, across every vertical,” says Fundamental CEO & co-founder Jeremy Fraenkel. “NEXUS is the OS for business decisions.”
Unlike large language models, which struggle with complex tables, NEXUS is trained from the ground up on billions of tabular datasets. It understands how rows and columns interact and can process enterprise-scale data without heavy manual setup.
Enterprises can integrate NEXUS directly into their existing data stacks with minimal effort, often with a single line of code.
Once connected, the model ingests raw tabular data and automatically learns the underlying structure, patterns, and dependencies without extensive feature engineering or manual training
Fundamental says it has already signed seven-figure contracts with Fortune 100 companies using the model for real-world predictive work.
AWS partnership
Alongside the funding, Fundamental announced a strategic partnership with Amazon Web Services. AWS customers can now buy and deploy NEXUS directly through their AWS dashboard, just like compute or storage.
“Fundamental’s structured data prediction model builds on AWS’s advanced AI offerings, helping enterprise customers fill a crucial gap in comprehensive tabular data analysis at scale,” said Dave Brown, VP of Compute, Platforms & ML Services at AWS. “By partnering with Fundamental, we are making it seamless for customers to transform tabular data – the backbone of enterprise decision-making – into a powerful predictive asset. This collaboration exemplifies our commitment to bringing transformative AI solutions to market with the enterprise-grade security and scalability our customers demand.”
“The significance of Fundamental’s model is hard to overstate – structured, relational data has yet to see the benefits of the deep learning revolution,” said Annie Lamont, Co-Founder & Managing Partner at Oak HC/FT. “Fundamental’s ability to predict anything from financial fraud to hospital readmission to energy prices positions the company to support virtually every industry and sector. With a world-class research team that blends deep technical expertise with proven commercial execution, the company brings a rare mix of research rigor and enterprise GTM understanding. We’re honored to be partnering with them on their journey.”
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