Collection and Annotation for Textual content

Create summaries, recognise intent, identify sentiments and do much more with your text-based datasets by getting them annotated.

Intent identification in text

What is your user trying to say?

Tag your text with intent that matches the correct context of the sentences, to accurately identify what your users really want.

Widely used in smart assistants and chatbots, intent recognition is key to building effective systems that utilise these technologies.

Text Entity recognition

Extract crucial entities from your text

Identify key phrases, named entities like addresses and names, or parts of speech of the sentences like nouns and adjectives.

With our workforce of experts in different fields, we can create highly accurate labeled datasets for specific areas like medicine, finance etc.

Text classification annotation

Categorize your data

Segregate large volumes of texts or documents into appropriate categories.

Text classification systems trained on accurately tagged data can mark news articles, tweets, or comments from your users with useful categories.

Ready for


Built from the ground-up to support enterprise workloads. High volume? Sensitive data? We can handle it all.

Data Security


All stakeholders including labelers and reviewers sign NDAs to ensure IP security.

Secure storage

Store your data with us, third party storage services or directly stream from your own AWS S3 accounts.


Rapid Scaling

Large team of labelers highly experienced with various types of annotations to enable rapid scaling.


Highly controlled work environments to make sure your data is totally secure.

Custom SLAs

Quality benchmarks

Picky about errors in your dataset? We can ensure an agreed-upon level of quality.

On premises data

Have strict requirements to keep your data in-house? We can setup remote-access to ensure compliance.