Build human-level NLP with correct, unbiased data

We help your NLP solution to understand as a human and react as a human.
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Training Data for NLP

Co-one supports multiple data annotation formats for comprehensive NLP solutions.
Named Entity Recognition
Recognizing word and word-groups with correct label.
Entity Linking
Forming relations within the entities.
Paraphrasing
Rewriting the human messages with more reliable phrases.
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Classification
Classify human messages into various multi categories.
Sentiment Analysis
Understanding text to achieve unbiased emotion annotation.
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ACHIEVE HUMAN LEVEL NLP

Make your NLP speak like human for increased customer experience.

Processing complex, hard-to-get datasets with loads of class groups is a headache for many. We actually love it!
Active Annotation Tracking
See the annotations live, react and give feedback.
Fast Daily Annotations
You will get min. 5K/day annotations.

Path to Successful Computer Vision Model

We help AI teams to build production ready Computer Vision models with high quality, unbiased data annotations.
1
Computer Vision Project Creation
Build your CV data annotation project, and define requirements.
2
Annotation Guideline Creation
Upload your sample data and perform sample annotations. So that, we know how the high quality looks.
3
Track Your Annotations Live
Be an active part of data annotations. Track class distributions, see uncertainties, and provide feedback.
4
Feed Your AI Model.
Export or import annotations into your model training environment. Datalaoders and TFRecords are already provided.

Computer Vision Data Labeling MLOps Platform

Active Review

You can watch the annotations live, give feedback and edit.
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Helping AI teams to grow for better.

We help AI world to build the most serious, high quality AI products.
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Co-one reaches valuation of €4.2 M and receives investment.
Investment
Co-one reaches valuation of €4.2 M and receives investment.
Co-one, an Estonian start-up founded in 2021, has completed a successful seed investment round, led…
January 24, 2023
1 min read