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Use cases




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Openlayer for text data

The all-in-one platform for building text classification models.

Develop the most accurate, unbiased models across a wide spectrum of tasks in multiple languages. Discover critical insights about your models' behavior to make more informed business decisions.

A few common tasks...


Build the most powerful chatbot classifier for your business.

PIP or hate speech detection

Guarantee your PIP or hate speech detection models are dead accurate.

Sentiment analysis

Improve sentiment classification tasks, whether applied or research.

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Model-agnostic, feature-level

Slice and dice your data

Use Openlayer to rapidly filter through and tag mistakes in aggregate. Generate synthetic data and tests from these rows to fix them.

For NLP models, get insights into
which tokens are most predictive or mispredictive for different slices of your data. Explore deeper to see which values or ranges for a given feature are most influential.

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Join the startups and enterprises using Openlayer to build better models, today. Sign up for a demo and onboarding.