Low-code NLP Platform

A multilingual AI platform to build & industrialize NLP-based assistants

Text labeling & data set creation

👉 Upload your data, including news, abstracts, contracts, product reviews, customer feedback, troubleshooting, user generated content and much more!
👉 Label text and create data set as a team.
👉 Save time by using World Knowledge, off-the-shelf models or our unique suggestion engine (Active Learning).

Experiment Machine Learning

👉 Train AI models on your data set with ready-to-use & state-of-the-art Machine Learning and Deep Learning libraries, including sklearn, CRF-Suite, Flair, Spacy, Delft, BERTopics and much more!
👉 Adjust the parameters, select embeddings, evaluate the quality by comparing the predictions with the true labels,
👉 Refine your dataset, directly connected in the platform, and finally select the most appropriate AI model.

Configure your NLP pipelines

👉 Configure your NLP pipeline by selecting everything you need: custom AI models, pre-trained models, technical components and any Knowledge Bases, including Wikidata, always up-to-date.
👉 Save! Your NLP pipeline is immediately ready for annotation, regardless of the underlying engines used.
👉 NLP pipelines may embark Text classification, Entity detection, Text summarization, Entity linking, Phrase matcher, technical components and much more!

Deploy & monitor your NLP pipelines

👉 Deploy your NLP pipelines in your workflow via our REST API.
👉 Set up feedback loops to ensure on-the-fly training and knowledge base feeding.
👉 Your AI assistant is operational. It is automatically updated even if the input data is constantly changing.


Powerful AI and NLP software is vital to accomplish knowledge discovery in an efficient and fast manner for our scientists.

Dr. Karlheinz Spenny – Head of the Scientific Information Center

We just released our new version heavily driven by the Kairntech NLP platform for the semantic aspects with a pretty massive impact.

Hugo Le Houarner – CEO

We are delighted to embark the Kairntech team in phase 2 of the DGA’s Artemis project to boost our capacity for innovation in AI & NLP.

Eric Rous – Senior Manager

To make the most of our content, it is essential to build high-quality AI models simply and quickly and to combine them with knowledge base.

Gaëlle Recource – Head of Content

Together with Kairntech, we have succeeded in analyzing the rapidly growing literature in the field of psychiatric diseases in an automated way in a short time.

Martin Hofmann-Apitius – Head of SCAI Dept of BioInformatics

Very useful platform and intuitive. The suggestion engine is clearly a monstrous time-saver. It even makes you want to annotate more!

Cédric Lagnier – CTO

We have integrated the Kairntech platform to boost our productivity while being able to offer to our customers the ability to analyse an ever growing number of documents.

Hugo Simon-Chautemps – COO

Our Technology and Innovation Intelligence services are based on semantic language models where Kairntech’s solutions accelerates the building process in a significant way.

Tim Schloen – Founder

With Kairntech, we produced verbatim analysis prototypes in record time. Their AI/NLP platform is essential for our new Customer Experience (CX) platform.

Arnold Haine – CTO

Automate text analysis?

We made it fast, accurate and fun for everyone.

Quickly build and run AI assistants that will power your documents processes, saving you time and effort. Anybody can do it. No programming skills required.

Free TrialVideo


Finding topics in text collections

Posted on
Bringing structure to unstructured document collections Assigning documents to categories is a key step in bringing structure to larger document collections: Users can narrow their study of a search result to a particularly relevant topic, forward subsets of documents to colleagues with a respective interests etc. Kairntech has offered document categorization since the beginning. However, … Continue reading Finding topics in text collections

Automatic Text Summarization

Posted on
Keep it short, please! A growing demand in today’s busy times for many users is to be able to quickly skim through large amounts of documents – news items, websites, publications, documentation – and decide quickly, whether a given item is worth spending the time to read or even just to click on it. Often … Continue reading Automatic Text Summarization


For 20 years, we have been building Text Mining solutions in industry and public organizations contexts.
We created Kairntech in December 2018 to make NLP easy-to-use by domain experts without IT skills.
We leverage NLP with advanced methods including Machine Learning, Deep Learning &
Knowledge Base technologies to extract insights from your documents.

We are a team of seasoned and forward thinking people.

Gilles Pouzenc

Chief Executive Officer

Vincent Nibart

Chief Operation Officer

Stefan Geissler

Chief Scientific Officer

Our partners

Want to join or send us a message?