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.
REFERENCES
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!
C̩dric Lagnier РCTO
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.
NEWS
ROI of Natural Language Processing platforms
Why NLP platforms save over 80% of your time Impressive recent progress in Natural Language Processing (NLP) models, for a large majority coming from the open sourced community, do not necessarily go hand in hand with delivering business value for domain experts; which can be summarized by the requirement to obtain automatically actionable information from … Continue reading ROI of Natural Language Processing platforms
Finding topics in text collections
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
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
COMPANY
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
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