Hollerith is an intelligent tabular foundation AI model built by Monarcha. It excels at predicting missing values in tables.
By a suitable arrangement of relays any possible combination of the data recorded on the cards may be counted.
Herman Hollerith, 1889
Hollerith spent his career proving that tables deserve their own machine. We think he was right.Traditional data science/ML treats every table as a new problem. You clean and encode the
data, engineer features, train a model, tune it and repeat until the results are good
enough. Hollerith is already pretrained on billions of tables, so it understands how tabular
data behaves. Using Hollerith, you skip the pipeline entirely: fit on your data, predict in
one forward pass, done.Because there is no per-dataset training loop, you get predictions in seconds instead of
hours, with no feature engineering or hyperparameter tuning. And because one pretrained
model works across datasets, the same two lines of code work whether your table holds
sales figures, sensor readings, or patient records.
