M47.AI

Train your AI datasets with our Intelligent Data Labeling Platform that provides text annotation tools and access to our international workforce so you can annotate in any language

Train your AI datasets with our Intelligent Data Labeling Platform that provides text annotation tools and access to our international workforce so you can annotate in any language

Try it for free
Try it for free

Powerful, stylish and easy to use text annotation platform

We designed M47.AI with
three principles in mind

Usability
An annotation tool needs to have a simple and intuitive UI: our project, dataset and tagset creation flows are easy, fast and reliable and the UI is specifically designed to speed up the human tasks and put the annotator at the foremost of our priorities.

Quality
Data quality is key to any successful ML project and we went to great lengths to implement the necessary quality checkpoints to assure a high-quality data output. From inter-annotator agreements to reviewing features

Scalability
Every custom ML project requires different amounts of training data: sometimes you’ll just get around with your own annotations, some others you’ll want to involve your internal teams and in rather large efforts you will prefer to externalize the labeling tasks to our team of experts. Our tool allows to scale up and down as needed in a project per project basis.

Try it for free

Managed annotation services with native speakers

Our skilled team of annotators, curators and content creators are experts in a vast range of domains and can help annotate any type of text, from linguistics, translation and general knowledge to tech, healthcare, journalism and other specializations. We cover most of the European languages and also some minority languages that need some love. Our Collaboration and Team features allows us to provide realtime insights on project status, KPIs and metrics to our clients.

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Benefits

Fast and Reliable Annotation Toolbox
We are packing up language plugins, libraries and other cool tools along with a fast and responsive UI, all designed to maximize the performance and quality of the annotation tasks
Manage Internal & External Resources

Whether the work is done by experts from M47 or your own organization, our platform lets you have control over the tasks, KPIs, timelines, annotators, reviewers and much more

ML assisted
pre-annotation

Our platform connects to state of the art multilingual NLP libraries from spaCy, NLTK and others, allowing for a fast pre-annotation in multiple languages

Create, manage and import Datasets

Create or import your own datasets and tagsets or use our public library containing a variety of multilingual texts from twitter, wikipedia, news and other text sources

Training Data Use Cases

Text Classification

Text Classification is the process of assigning a set of predefined categories to an open-ended text or document.

Name Entity Recognition (NER)

NER is the process of identifying and categorizing named entities in a given text. Examples of categories are organizations, locations, time, names, money, and rate.

Sentiment Analysis

Sentiment Analysis is the process of identifying and extracting opinions within a given text to determine whether data is positive, negative or neutral.

Intent Recognition

Intent Recognition is the task of taking a written or spoken input, and classifying it based on what the user wants to achieve.

Part Of Speech Tagging (POS)

POS tagging is a process which refers to categorizing words in a text in correspondence with a particular part of speech, depending on the definition of the word and its context.

Textual Entailment (TE)

Textual entailment is a directional relation between text fragment. Typically, a human reading the text would infer truth of the hypothesis as long as the latest follows the first.

Semantic Textual Similarity (STS)

Semantic Textual Similarity deals with determining how similar two pieces of texts are. This usually takes the form of assigning a score from 1 to 5.

Question Answering (QA)

Question Answering is a process for which annotators define a set of questions that can be answered with specific parts of a given text.

Text Classification

Text Classification is the process of assigning a set of predefined categories to an open-ended text or document.

Name Entity Recognition (NER)

NER is the process of identifying and categorizing named entities in a given text. Examples of categories are organizations, locations, time, names, money, and rate.

Sentiment Analysis

Sentiment Analysis is the process of identifying and extracting opinions within a given text to determine whether data is positive, negative or neutral.

Intent Recognition

Intent Recognition is the task of taking a written or spoken input, and classifying it based on what the user wants to achieve.

Part Of Speech Tagging (POS)

POS tagging is a process which refers to categorizing words in a text in correspondence with a particular part of speech, depending on the definition of the word and its context.

Textual Entailment (TE)

Textual entailment is a directional relation between text fragment. Typically, a human reading the text would infer truth of the hypothesis as long as the latest follows the first.

Semantic Textual Similarity (STS)

Semantic Textual Similarity deals with determining how similar two pieces of texts are. This usually takes the form of assigning a score from 1 to 5.

Question Answering (QA)

Question Answering is a process for which annotators define a set of questions that can be answered with specific parts of a given text.

FAQs

What type of access do I have with a free account?
  • With our Free tier access, we are offering individual full access to our basic data annotation features. New features, coming soon, will be also added to the Free tier.
Some of the M47.AI platform features look disabled or not available. Am I doing something wrong?
  • Some of the features are only available for our internal teams at the moment but we are working hard to make them available for external users.
What if I want to use M47’s managed workforce for my annotation tasks? 
  • Please get in touch here so we can discuss your specific needs: language(s), tasks, domains, volume and more. Every project is different so we want to provide a tailor made quote that fits your needs.
Can I use my own network of annotators?
  • Yes, definitely. We are working on making this feature available for external organizations so they can manage their internal organizations but for now, please get in touch with us and we will setup your internal team in the platform.
Great Tool! Would it be possible to provide access to a specific spaCy library in the platform?
  • Yes! We are working on adding additional support for multilingual libraries. The more the better :-) Feel free to write us to request access to your favorite NLP library.

M47.AI is part of the M47 Labs group, a Barcelona based tech company providing high quality end to end Engineering and AI services.

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