Nums AI

The Large Tabular Model.

A pre-trained model that predicts across every industry — in a single inference pass.

Product

One pre-trained model. Every table. No pipelines.

Numerical reasoning.

LTM sees the patterns of numbers and fills in the missing values. It answers predictive questions that LLMs cannot.

One model. Every industry.

A single pre-trained model that predicts across commerce, healthcare, finance, manufacturing, and defense.

The first scalable numerical model.

Typical ML projects take 3 to 9 months. LTM takes seconds. From raw data to predictions.

Process

How it works.

01

Bring your table.

Point LTM at any tabular dataset. No feature engineering, no training pipeline, no months of ML work.

02

In-context learning.

LTM reads the patterns of your numbers. Pre-trained once, adapted in-context to your domain.

03

Predict.

Ask the question. Get the answer in a single inference pass. A probability. A class. A missing value. That's the output.

Use Cases

Numbers are the language of the world.

Commerce

Which price and release date would maximize profit over the next month?

Healthcare

Among ICU admissions, how many patients will be discharged within 3 days?

Finance

Is there any fraudulent transaction between user A and user B?

Manufacturing

Which units off the line in the next shift will fail QA?

Defense

Which radar tracks in the last hour deviate from baseline patterns?

Currently in stealth

The ChatGPT moment for prediction hasn't happened yet. We're building it.