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Features

AutoLettria

Build your own custom text classifier with machine learning, using your own data. Completely no-code, and all in one place.

An image depicting the AutoLettria panel.

Spend less time juggling data and tools, and more time fine-tuning your model.

You already have your data, your annotation campaigns, your team and your knowledge base on Lettria.

Now you can train a machine learning model easily, within your project where everything (and everyone) else is already there.

An image depicting the AutoLettria panel.
An image depicting the AutoLettria panel.

Test and evaluate multiple different models, and pick the best one.

You can launch multiple trainings, and have multiple models in one project — which you can then test and evaluate.

Compare your models, choose the best one, and iterate on it further. All in one place.

The key to any successful data science project is the data collection phase.

Patrick Duvaut

Head of Innovation

The key to any successful data science project is the data collection phase.

Patrick Duvaut

Head of Innovation

The key to any successful data science project is the data collection phase.

Patrick Duvaut

Head of Innovation

Comparing Hybrid, AutoML, and Deterministic Approaches for Text Classification

Explore the merits and drawbacks of Hybrid, AutoML, and Deterministic methods in text classification.

How to create high quality annotation labels?

The quality of your final solution will depend a lot on the quality of the labels you create for annotation. Here's a comprehensive guide.

Create and manage
your annotation

Here's how to start a new annotation campaign in a Lettria project.

Build your NLP pipeline for free
Get started ->