Wedoany.com Report on Feb 6th, AI company Fundamental announced today its emergence from stealth mode with $255 million in funding. The company has built its most powerful Large Tabular Model (LTM) designed to drive predictions from enterprise data.
Founded in October 2024, the company raised a $30 million seed round and a $225 million Series A round led by Oak HC/FT, with participation from top-tier venture capital firms including Valor Equity Partners, Battery Ventures, Salesforce Ventures, and Hetz Ventures. Notable angel investors include 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 new capital will be used to expand compute capacity, scale enterprise deployments, and rapidly grow the team across research, engineering, and go-to-market.
"We have built a universal foundation model specifically for the world's most valuable data: the billions of tables that underpin predictions for every business, across every vertical," said Jeremy Fraenkel, CEO and co-founder of Fundamental. "NEXUS is the operating system for business decisions."
Fundamental has also established a strategic partnership with Amazon Web Services (AWS) to accelerate enterprise adoption of its model among AWS customers. Starting today, AWS customers can purchase and deploy NEXUS within their AWS environments just as they would buy compute or storage on the AWS dashboard—all backed by AWS's secure, reliable, and scalable infrastructure. Concurrently, Fundamental has secured seven-figure contracts with Fortune 100 companies that are applying the model to predictive use cases such as demand forecasting, price prediction, and customer churn.
"Fundamental's predictive model for structured data builds on AWS's advanced AI offerings, helping enterprise customers fill a critical gap in comprehensive tabular data analysis at scale," said Dave Brown, VP of Compute, Platform, and Machine Learning Services at AWS. "By partnering with Fundamental, we enable customers to seamlessly transform tabular data—the backbone of business decision-making—into a powerful predictive asset. This collaboration exemplifies our commitment to bringing transformative AI solutions to market with enterprise-grade security and scalability to meet our customers' needs."
Enterprises have historically relied on outdated machine learning algorithms (pre-dating deep learning) to analyze data, guide decisions, and make predictions. In contrast, recent advancements in deep learning have primarily focused on LLMs and related architectures optimized for unstructured, sequential data like text, images, and video. Consequently, these models are less suited to capture the non-sequential, non-linear relationships inherent in tabular data and struggle with enterprise-scale tables due to size and dimensionality constraints. This means they were not built to extract value from the tabular datasets that guide every critical business decision.
Built by DeepMind alumni, Fundamental's first publicly available LTM, NEXUS, empowers enterprises with unprecedented predictive accuracy. NEXUS replaces traditional predictive analytics with a purpose-built foundation model designed specifically for tabular data. Fundamental enables businesses to move beyond analyzing past events to answer forward-looking questions like what happens next, when risks emerge, or where opportunities exist—all delivered with rapid time-to-value and enterprise-grade deployment on any cloud infrastructure.
Built from the ground up on billions of tabular datasets and trained on Amazon SageMaker HyperPod, NEXUS understands the non-linear relationships and interactions that exist across rows and columns. Enterprises can integrate NEXUS directly into their existing data stack with minimal effort—often just 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. The result is an engine with predictive accuracy significantly higher than traditional machine learning methods.
"The importance of Fundamental's model cannot be overstated—structured, relational data has yet to benefit from the deep learning revolution," said Annie Lamont, co-founder and managing partner at Oak HC/FT. "Fundamental's ability to predict anything from financial fraud to hospital readmissions to energy prices enables the company to support nearly every industry and domain. With a world-class research team blending deep technical expertise and proven business execution, the company brings a rare combination of research rigor and enterprise go-to-market understanding. We are honored to partner with them on this journey."
Fundamental's public launch and the release of its Large Tabular Model, NEXUS, introduce a new category of enterprise AI designed to transform structured business data into predictive intelligence at scale.
NEXUS is now available for enterprises at www.fundamental.tech/contact and for AWS customers via their dashboard.
About Fundamental
Fundamental is pioneering the future of business decision-making. Co-founded by DeepMind alumni, Fundamental developed NEXUS—its most powerful Large Tabular Model (LTM)—built for the structured records containing trillions of dollars in business value. While other AI companies focus on text and images, Fundamental focuses on the tabular data that truly drives business decisions. Backed by world-class investors and trusted by Fortune 500 companies, Fundamental unlocks trillions in value by empowering businesses with the "Power to Predict."
