Trustworthy GenAI language assistants

Experiment quickly, customize extensively, industrialize seamlessly and improve quality continuously

Experiment quickly

  • 50+ pre-packaged and always up-to-date components in an easy-to-use web environment
  • Experiment with question-answering (RAG), information extraction, text classification…
  • Benefit from ready-to-use annotators, knowledge bases such as Wikidata, AI models and Large Language Models (LLMs)

Customize extensively

  • Leverage text and metadata from complex document sources (scientific literature, Excel…) and business vocabularies to build GenAI language assistants
  • Build datasets faster with text labeling tools, active learning and smart pre-annotations.
  • Improve accuracy and trust by training AI models
  • Fine tune embeddings models, LLMs
  • Evaluate and benchmark quality to increase performance

Deploy seamlessly

  • Deploy pipelines of GenAI language assistants in SaaS or on premise with Kairntech Server
  • Embed within existing applications through a rich REST API
  • Run at scale on a distributed environment with Single Sign-On

Improve quality continuously

  • Implement feedback loops for GenAI language assistants
  • Retrain AI models for continuous improvement
  • Automate Knowledge Base enrichment


iQNow platform integrates AI via Kairntech for Boehringer scientists, facilitating access to vast information, enabling natural language queries, and refining results through experimentation.

Dr. Michael Schorpp, Head of Knowledge Management and AI at Boehringer Ingelheim

The Iris editorial console, integrating Kairntech, enhances global journalistic efficiency across multiple languages. AFP prioritizes language technologies and AI for ongoing innovation.

Philippe Maisonnave – Senior Manager

We are excited to welcome the Kairntech team to join us in the DGA’s Artemis.AI project, where their expertise will play a crucial role in enhancing our innovation capabilities in the fields of AI and 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

The new version of the Cairn.Info portal will benefit from the Kairntech software, which has enabled us to simplify, extend and accelerate the implementation of AI. We will be able to offer our customers innovative GenAI services, while being more efficient.

Jean-Baptiste de Vathaire – CEO

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

Hugo Le Houarner – CEO

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

Quote to come.

Christelle Housset – Senior Manager

Deliver business value faster with Kairntech GenAI language assistants

Deliver business value by building, industrialising and maintaining natural language processing services. All the way from prototyping, customization, embedding in applications through a rich API, industrialization to continuous improvement.

White Paper Demo


Hands-on Webinar on Kairntech RAG (retrieval-augmented generation)

Posted on
Organized by the german DGI (Association for Information and Knowledge), Kairntech had delivered a webinar on June 26 on the use of Large Language Models for the analysis of document corpora with retrieval-augmented generation (RAG). Webinars are a fine tool to comfortably convene an audience and deliver a presentation. But often they tend to do … Continue reading Hands-on Webinar on Kairntech RAG (retrieval-augmented generation)

Kairntech semantic fingerprint technology is now deployed at scale

Posted on
Information providers need to add value to the content they are producing. But tagging and classifying content to enrich internal knowledge bases is tedious, time consuming and error prone. Yet these knowledge bases are the cornerstone of value-added services. The patent-pending semantic fingerprint technology from Kairntech provides a smart solution for multilingual text classification. Wikidata … Continue reading Kairntech semantic fingerprint technology is now deployed at scale


The experienced Kairntech founding team created their first language technology company back in 2001! Kairntech itself was founded in 2019 to benefit from new open-source driven AI language technologies and provide a great user experience for business users to create new and innovative language services.

This has become all the more important because recent innovations in LLMs (Large Language Models) have enabled many new and exciting use cases such as question answering services made with Retrieval Augmented Generation (RAG).

Gilles Pouzenc
Chief Executive Officer

Vincent Nibart
Chief Operation Officer

Stefan Geissler
CEO Germany

Anne de Chauvigny

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