Industrialization requires automation

Developers struggle with dependencies due to different versions of libraries/engines in NLP pipelines, the capacity to use off-the-shelf and reusable components and the monitoring of AI models performance because of ever changing data.

Can Kairntech avoid manual processes and help software developers?

Spend time where you are most valuable, we take care of the rest

Automated NLP AI pipelines

πŸ‘‰ Combine all components into a single NLP pipeline
πŸ‘‰ Integrate via a unique Rest API saves over 80% of your time
πŸ‘‰ Avoid managing dependencies of underlying engines

On-the-fly training & continuous improvement

πŸ‘‰ Feed the dataset in real-time with newly annotated text via the REST API
πŸ‘‰ Easily manage model performance over time thanks to on-the-fly training since data keeps changing

Reusable components

πŸ‘‰ Easily reuse existing AI models, pipelines or technical components (converters, segmenters, formatters, processors to manipulate text and annotations)
πŸ‘‰ A growing library with already 15+ reusable components!

How does it work?

Integrate smoothly Kairntech platform in your workflow thanks to a comprehensive REST API.

Implement feedback loops to ensure models & NLP pipelines monitoring over time to avoid crash in production!


Collaborate easily with teams to improve dataset (domain experts) and AI models (Data Scientists).

We are here to help

No, for the time being, you can configure as many pipelines as you want.

It depends on the engine used. For Text classification task, we recommand using sklearn to keep under the minute. For Entity detection, using a Flair engine with embeddings for instance will require more time.

Yes, you can do it with our python SDK.

100% secured, 100% transparent


All our data storage systems take into account the constraints of the GDPR.


Manage fine-grained access rights to facilitate access to multiple stakeholders.


In the cloud or on-premise, choose the mode that best suits your organization.

They trust us

Can the Kairntech NLP platform avoid manual processes and help developers?