The AI Built for Predictions

Built by Fundamental, a frontier AI research lab, NEXUS is the Large Tabular Model reimagining enterprise decision-making

The AI Built for Predictions

Built by Fundamental, a frontier AI research lab, NEXUS is the Large Tabular Model reimagining enterprise decision-making

Two sides of AI

Large Language Models transformed how we work with language, NEXUS is transforming how we predict

Large Language Models

Large Language Models

Built for text
Built for text

Large Tabular Models

Large Tabular Models

Built for enterprise predictions
Built for enterprise predictions

Large
Language
Models

Built for text

Large
Tabular
Models

Built for enterprise predictions

Large
Language
Models

Built for text

Large
Tabular
Models

Built for enterprise predictions

Meet

NEXUS

NEXUS is the Large Tabular Model built for enterprise prediction

Pre-trained across billions of rows and columns, NEXUS has learned the patterns and relationships within tabular data before it ever sees yours

It brings that intelligence to your enterprise data to make more accurate predictions about what happens next

This is Fundamental

The story of Fundamental, NEXUS, and why prediction is the next frontier of AI

Trusted partners and customers

Amazon
AWS
Battery
Cloudera
OAK
QPVentures
Salesforce
SAP
Valor
LA
AEG
Amazon
AWS
Battery
Cloudera
OAK
QPVentures
Salesforce
SAP
Valor
LA
AEG

“Fundamental’s breakthrough in structured data prediction complements AWS’s mission to make advanced AI capabilities accessible to enterprises.”

Matt Garman

CEO, Amazon Web Services

“We're excited to add Fundamental’s NEXUS, a leading Large Tabular Model, to our family of best-in-class models. By advancing large tabular models, we can move beyond historical analysis toward adaptive, high-quality predictions.”

Jonathan von Rueden

Chief AI Officer of SAP SE

“We believe Fundamental's entirely new category of enterprise AI is at the forefront of how global businesses will use predictive AI to transform decision-making, operations, and financial performance.”

Takashi Sano

Chief Investment Officer at Mitsubishi UFJ Financial Group

“Fundamental’s breakthrough in structured data prediction complements AWS’s mission to make advanced AI capabilities accessible to enterprises.”

Matt Garman

CEO, Amazon Web Services

“We're excited to add Fundamental’s NEXUS, a leading Large Tabular Model, to our family of best-in-class models. By advancing large tabular models, we can move beyond historical analysis toward adaptive, high-quality predictions.”

Jonathan von Rueden

Chief AI Officer of SAP SE

“We believe Fundamental's entirely new category of enterprise AI is at the forefront of how global businesses will use predictive AI to transform decision-making, operations, and financial performance.”

Takashi Sano

Chief Investment Officer at Mitsubishi UFJ Financial Group

“Fundamental’s breakthrough in structured data prediction complements AWS’s mission to make advanced AI capabilities accessible to enterprises.”

Matt Garman

CEO, Amazon Web Services

“We're excited to add Fundamental’s NEXUS, a leading Large Tabular Model, to our family of best-in-class models. By advancing large tabular models, we can move beyond historical analysis toward adaptive, high-quality predictions.”

Jonathan von Rueden

Chief AI Officer of SAP SE

“We believe Fundamental's entirely new category of enterprise AI is at the forefront of how global businesses will use predictive AI to transform decision-making, operations, and financial performance.”

Takashi Sano

Chief Investment Officer at Mitsubishi UFJ Financial Group

What happens when predictions get better

Energy Demand Forecasting

71%

more accurate demand forecasts

World Cup Prediction

3/3

tournament predictions confirmed

Sports Audience Forecasting

33%

less audience-forecast error

Energy Cost Forecasting

14x

forecasting coverage

Formula 1 Performance

10.3%

more accurate aerodynamic predictions

Freight Rate Forecasting

67%

less trade for the same expected P&L

NFL Player Valuation

4.5%

within actual contract value

SMB Default Risk

9%

more accurate at ranking default risk

Credit Risk Prediction

18%

more accurate at predicting default risk

Formula 1 Virtual Sensors

20%+

lower error than the F1 team’s existing model

Customer Churn Prediction

40%

more churners identified

Deal Sourcing

10%

higher returns on top-ranked deals

What happens when predictions get better

Energy Demand Forecasting

71%

more accurate demand forecasts

World Cup Prediction

3/3

tournament predictions confirmed

Sports Audience Forecasting

33%

less audience-forecast error

Energy Cost Forecasting

14x

forecasting coverage

Formula 1 Performance

10.3%

more accurate aerodynamic predictions

Freight Rate Forecasting

67%

less trade for the same expected P&L

NFL Player Valuation

4.5%

within actual contract value

SMB Default Risk

9%

more accurate at ranking default risk

Credit Risk Prediction

18%

more accurate at predicting default risk

Formula 1 Virtual Sensors

20%+

lower error than the F1 team’s existing model

Customer Churn Prediction

40%

more churners identified

Deal Sourcing

10%

higher returns on top-ranked deals

The limits of language models

Architectures designed for language can rely on memorization rather than genuine learning from tables, with performance degrading as the number of columns grows. Our research examines these limitations and the capabilities needed to move beyond them.

Deploy NEXUS where your data already lives

Designed for the security, governance and flexibility enterprises expect
Private Cloud
Private Cloud
Amazon Web Services
Amazon Web Services
Virtual Private Cloud
Virtual Private Cloud
SOC 2
SOC 2
ISO 27001
ISO 27001

Latest NEWS

Fundamental Brings Nexus to LA Galaxy and L.A. Live

Fundamental Brings Nexus to LA Galaxy and L.A. Live

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Read announcement

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