Journalists hate tagging
Information providers need to add more value from the content you provide. To achieve this tagging and classifying content is essential. But this is tedious, time consuming and error prone.
Can Kairntech’s AI make it easy?
Focus on writing content!
We take care of the rest.
Gain in efficiency by eliminating time-consuming and tedious tasks
Automatically create easy-to-approve suggestions for Tags contextualized with Wikidata, Media Topics categories and slugs…
Facilitate new and better information services
Easily embed with existing tools. Enrich internal taxonomy databases. Work seamlessly with both latin and non-latin languages.
Do & maintain it yourself
You can build quickly & maintain your own solution without being a programmer.
How does it work?
Upload your documents and select a few dozen examples of information elements that are of interest.
The artificial intelligence automatically learns from the examples that you provided and will propose you to accept or reject new elements.
Combine the model thus obtained with other components, deploy and integrate a new, innovative service in record time.
We are here to help
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
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 – Sealk
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 – Groupe Revue Fiduciaire