Two Sides of AI

Different Jobs, Different AI

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

LLMs transformed how organizations work with unstructured data

Text

Image

Video

Code

LLMs transformed how organizations work with unstructured data

Text

Image

Video

Code

LLMs transformed how organizations work with unstructured data

Text

Image

Video

Code

But modern enterprises run on structured data

Transactions

Inventory records

Financial data

Sensor & IoT readings

But modern enterprises run on structured data

Transactions

Inventory records

Financial data

Sensor & IoT readings

But modern enterprises run on structured data

Transactions

Inventory records

Financial data

Sensor & IoT readings

Prediction starts with tabular data

AI’s biggest breakthroughs have focused on language and images. But much of the world’s most consequential data lives in tables. Customers. Transactions. Prices. Inventory. Sensors. Claims. Contracts. Production. Demand.

It lives across CRMs, ERPs, databases, warehouses and operational systems - organized into rows and columns

It’s the data behind what happens next

Different jobs need different AI

Large Language Models

TRAINED ON

LEARNS

BUILT TO

Large Language Models

Language

Patterns across words, tokens, and sequences

Understand and generate information

Large Tabular Models

Tables

Patterns across variables, relationships, and outcomes

Predict what happens next

LARGE LANGUAGE MODELS

TRAINED ON

Language

LEARNS

Patterns across words, tokens, and sequences

BUILT TO

Understand and generate information

LARGE TABULAR MODELS

TRAINED ON

Tables

LEARNS

Patterns across variables, relationships, and outcomes

BUILT TO

Predict what happens next

LLMs can read tables. That doesn't mean they're built to predict from them.

As the number of features increased, LLM prediction performance declined - while traditional predictive methods remained stable or improved

Prediction doesn't have to start from zero

A new foundation for enterprise prediction. Instead of building and maintaining a separate model for every problem, one pre-trained foundation powers prediction across the enterprise.

Traditional Predictive ML

Traditional Predictive ML

Every new problem requires building and tuning a model from scratch

Every new problem requires building and tuning a model from scratch

Your Data

Feature Engineering

Model Selection

Hyperparameter Tuning

Predict

NEXUS

A pre trained tabular model that adapts to new datasets without rebuilding the entire pipeline

meet NEXUS

meet NEXUS

FUNDAMENTAL’S LARGE TABULAR MODEL, BUILT FOR ENTERPRISE PREDICTIONS

FUNDAMENTAL’S LARGE TABULAR MODEL, BUILT FOR ENTERPRISE PREDICTIONS

FUNDAMENTAL’S LARGE TABULAR MODEL, BUILT FOR ENTERPRISE PREDICTIONS

FUNDAMENTAL’S LARGE TABULAR MODEL, BUILT FOR ENTERPRISE PREDICTIONS

Like Large Language Models transformed how organizations work with text, NEXUS is designed to learn predictive patterns from structured enterprise data at enterprise scale

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

Grid Outage Prediction

77%

accurate outage 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

Soccer Fan Retention

53%

of at-risk members flagged early

Credit Risk Prediction

18%

more accurate at predicting default risk

Formula 1 Virtual Sensors

20%+

lower error than the sensors they replace

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

Grid Outage Prediction

77%

accurate outage 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

Soccer Fan Retention

53%

of at-risk members flagged early

Credit Risk Prediction

18%

more accurate at predicting default risk

Formula 1 Virtual Sensors

20%+

lower error than the sensors they replace