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Boost your bot performance and get 1 Million FREE utterances!

Speed up the deployment of new domains and languages by using artificial training data.

See why automatic training is better than manual training and we will send you a FREE training dataset with over 1 Million utterances for home automation vertical.


Get ahead and book a demo with us!


Save Time

Increase Accuracy

Easy integration


Taking the burden out of creating chatbot training content

Our artificial training data is generated by combining real-world sources with our unique Natural Language Generation technology. Our pre-tagged sentences include a wide range of formats to easily integrate with your favorite platform.

Book a demo with Bitext

Do you need other languages?

No problem! Our training datasets are currently available in 9 languages, so we can quickly create large, custom chatbot training datasets in different languages. Just book a demo and we will accomodate your preferences.

Make your bot fully conversational

Our data covers linguistic phenomena such as negation and coordination. We can provide the data necessary, which can range from only a few sentences per intent to thousands of them!

Get a FREE training dataset with over 1 million utterances

The free dataset covers up to 100 actions, 300 devices, 100 places and 20 features. Understands double intents (natural requests that include more than one command) and negation.


Gartner Reports say...

Bitext is currently at the forefront of technology, being mentioned in 11 Gartner reports in 2018. 

Bitext can improve the performance of almost any conversational engine and project.

End users frustrated with the performance or complexity of their chatbot developments will be interested in how Bitext can improve intent matching confidence and reduce development time

Companies such as Bitext use semantic technologies to generate multiple variants from a seed intent. These intent variations are used to train AI engines, resulting in more user requests being correctly mapped, and reducing the burden of developers.