NEXUS

NEXUS

A foundation model for enterprise prediction
A foundation model for enterprise prediction

Pre-trained across billions of rows and columns, NEXUS brings learned predictive patterns to your data

NEXUS delivers more accurate predictions without complex modeling workflows

Every enterprise decision starts with a prediction

NEXUS customers generate more accurate predictions from their structured data while dramatically reducing the time and complexity required to build predictive systems

Allocating Capital
Allocating Capital
Forecasting Demand
Forecasting Demand
Optimizing Supply Chains
Optimizing Supply Chains
Scheduling Maintenance
Scheduling Maintenance
Managing Risk
Managing Risk

What makes NEXUS different

Pre-trained at scale

Learns predictive patterns from billions of rows and columns - delivering accurate predictions without building or tuning a new model from scratch

From many models to one foundation

Replace fragmented, use-case-specific model building with a common foundation for prediction across the enterprise

Predictions you can explain

Understand what drives individual predictions with prediction-level explanations and feature importance, giving visibility into the factors behind every result

BUILT ON WHAT’S ALREADY KNOWN. A MORE PREDICTABLE TOMORROW.

BUILT ON WHAT’S ALREADY KNOWN. A MORE PREDICTABLE TOMORROW.

BUILT ON WHAT’S ALREADY KNOWN. A MORE PREDICTABLE TOMORROW.

BUILT ON WHAT’S ALREADY KNOWN. A MORE PREDICTABLE TOMORROW.

Same Prediction Problem, Different Approaches

Linear Regression

ASSUMPTION-DRIVEN

Makes strong assumptions about data distribution and the relationship between predictors and the outcome, assumptions that may not hold in a given use case

Limited by model assumptions

Limited by model assumptions

Limited by model assumptions

Traditional ML

PROBLEM-SPECIFIC LEARNING

Typically relies more heavily on manual feature engineering, and learns from a random initialization rather than any prior knowledge

Good fit, trained from scratch

Good fit, trained from scratch

Good fit, trained from scratch

NEXUS

PRETRAINED FOUNDATION MODEL

Leverages advanced neural network and attention-based architectures to pre-train on billions of rows, then adapts to your data - including extracting semantic meaning from text features

MORE ACCURATE PREDICTIONS, FASTER

MORE ACCURATE PREDICTIONS, FASTER

MORE ACCURATE PREDICTIONS, FASTER

Built for the way data scientists already work

NEXUS fits into familiar Python workflows with a scikit-learn-style API. Bring your tabular data and target, fit NEXUS to your problem, generate predictions with .predict, and interrogate individual results with explain.

Deploy where your data already lives

The most valuable enterprise data is often the most sensitive. NEXUS can be deployed in the environment that best aligns with your infrastructure, governance, and security requirements.

Managed SaaS

Get started quickly with a fully managed deployment

Customer Cloud

Get started quickly with a fully managed Deploy within your existing cloud environment

Private Infrastructure

Maintain maximum control over data, security, and operations

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

66%

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 F1 team’s existing model

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

66%

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 F1 team’s existing model

OUR LATEST FROM FUNDAMENTAL

Built by researchers, Proven by practitioners

Explore research papers, technical articles, benchmarks, and explainers from the team building NEXUS

OUR LATEST FROM FUNDAMENTAL

Built by researchers, Proven by practitioners

Explore research papers, technical articles, benchmarks, and explainers from the team building NEXUS

OUR LATEST FROM FUNDAMENTAL

Built by researchers, Proven by practitioners

Explore research papers, technical articles, benchmarks, and explainers from the team building NEXUS

Better predictions start here

Better predictions start here

Better predictions start here