Fundamental, an emerging AI company focused on transforming enterprise data into predictive intelligence, has officially come out of stealth mode with an impressive $255 million in funding. The company raised $30 million in a seed round followed by a $225 million Series A led by Oak HC/FT, with participation from leading investors including Valor Equity Partners, Battery Ventures, Salesforce Ventures, and Hetz Ventures. Prominent angel investors such as Perplexity CEO Aravind Srinivas, Wiz CEO Assaf Rappaport, Brex co-founder Henrique Dubugras, and Datadog CEO Olivier Pomel also backed the company. This significant investment will support Fundamental’s plans to expand its research, scale its infrastructure, and accelerate enterprise adoption of its AI technology.
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At the center of Fundamental’s launch is NEXUS, its flagship Large Tabular Model designed specifically to work with structured enterprise data. Unlike traditional AI models that focus on unstructured content like text or images, NEXUS is built to analyze tabular data the foundation of most enterprise systems. This allows organizations to generate more accurate forecasts, detect risks, and uncover opportunities from their data. CEO and co-founder Jeremy Fraenkel described NEXUS as an operating system for business decision-making, emphasizing its ability to help companies move from analyzing past performance to predicting future outcomes.
Fundamental has also formed a strategic partnership with Amazon Web Services (AWS) to make NEXUS easily accessible to enterprise customers. Businesses can deploy the model directly within their AWS environments, benefiting from secure and scalable infrastructure while integrating predictive capabilities into their existing workflows. The company has already secured seven-figure contracts with Fortune 100 organizations that are using NEXUS for applications such as demand forecasting, price optimization, and customer retention analysis.
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The technology behind NEXUS addresses a longstanding gap in enterprise analytics. While recent AI advancements have largely focused on large language models, most enterprise decisions rely on structured data stored in tables. Traditional machine learning tools often struggle to handle the scale and complexity of this data. NEXUS, developed by engineers including alumni from DeepMind, is specifically designed to understand complex relationships within tabular datasets. It can automatically learn patterns from raw data with minimal manual setup, allowing companies to generate highly accurate predictions without extensive feature engineering.
This breakthrough opens new possibilities across industries, from finance and healthcare to energy and retail. Enterprises can use NEXUS to predict financial fraud, anticipate customer churn, forecast market demand, and identify emerging risks. With its ability to integrate easily into existing systems and deliver faster insights, Fundamental is positioning itself as a leader in a new category of enterprise AI focused on predictive intelligence.
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Fundamental’s public launch and the introduction of NEXUS mark an important milestone in the evolution of enterprise AI. By focusing on structured data the backbone of business decision-making the company is helping organizations unlock deeper insights and make smarter, forward-looking decisions. With strong investor support, enterprise adoption, and a strategic partnership with AWS, Fundamental is poised to play a key role in shaping the future of predictive analytics.