Fundamental, an AI company focused on predictive intelligence from enterprise data, announced it has emerged from stealth with $255 million in funding and has publicly launched its most powerful Large Tabular Model (LTM), called NEXUS.
Founded in October 2024, the company said it raised a $30 million seed round and a $225 million Series A round led by Oak HC/FT, with participation from Valor Equity Partners, Battery Ventures, Salesforce Ventures, and Hetz Ventures. Fundamental also cited angel investors, including Perplexity co-founder and CEO Aravind Srinivas, Wiz co-founder and CEO Assaf Rappaport, Brex co-founder Henrique Dubugras, and Datadog co-founder and CEO Olivier Pomel.
The company said the new capital will be used to scale compute, expand enterprise deployments, and grow the team across research, engineering, and go-to-market functions. Fundamental is positioning NEXUS as a general-purpose foundation model designed to handle the billions of tables underlying forecasting and decision-making across enterprises, with the goal of improving predictions for use cases such as demand forecasting, price prediction, and customer churn.
Alongside the public launch, Fundamental announced a strategic partnership with Amazon Web Services to accelerate adoption and scale deployment. The company said AWS customers can buy and deploy NEXUS within their AWS environment via the AWS dashboard, with support from AWS infrastructure. Fundamental also said it has secured seven-figure contracts with Fortune 100 enterprises applying the model to predictive use cases.
Fundamental framed its approach as addressing a gap in deep learning for structured data, arguing that much of the recent progress in AI has focused on models optimized for unstructured and sequential data, while tabular data in enterprise settings remains difficult to handle at enterprise scale due to size and dimensionality constraints. Fundamental said NEXUS is trained on billions of tabular datasets, was trained on Amazon SageMaker HyperPod, and is designed to learn underlying structure and dependencies from raw tabular data without extensive feature engineering or manual training. The company also said enterprises can integrate NEXUS into existing data stacks with minimal effort, often with a single line of code, and deploy on any cloud infrastructure.
KEY QUOTES
“We’ve built a generalized foundation model specifically to leverage the world’s most valuable data: the billions of tables that underpin predictions in every enterprise, across every vertical. NEXUS is the OS for business decisions.”
Jeremy Fraenkel, Chief Executive Officer And Co Founder, Fundamental
“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. 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.”
Dave Brown, Vice President Of Compute, Platforms & ML Services, Amazon Web Services
“The significance of Fundamental’s model is hard to overstate – structured, relational data has yet to see the benefits of the deep learning revolution. 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.”
Annie Lamont, Co Founder And Managing Partner, Oak HC/FT
