Superior content services require rich and accurate information

Information providers need to add value from content. Tagging and classifying content to enrich internal knowledge bases is tedious, time consuming and error prone.

Can Kairntech’s AI make life easier for information professionals?

content tagging with Kairntech

Focus on content while Kairntech takes care of the rest.

Named Entity Recognition

Support journalists to extract entities in record time

  • Automatically extract easy-to-approve entities (people, location, organization…) with a click of the mouse
  • Contextualize the extracted entities with Wikidata.
  • Allow journalists and team leaders to enrich business vocabularies with new content, the cornerstone of value-added services.

Classify by IPTC media topic

  • Automatically classify documents by IPTC Media Topic category
  • Benefit from Kairntech’s unique and patent-pending technology of semantic fingerprints
  • A single model for multiple languages that is trained with Wikidata context.
text classification

Embed and industrialize at scale 

  • Embed AI pipelines and human-in-the-loop processes using a rich REST API.
  • Deploy at scale with a power server on premise.
  • Benefit from single-sign-on and capacity to run within a distributed environment.

How does it work?

For entity recognition upload a document corpus, pre-annotate and select a few dozen documents to annotate manually and by using active learning.

For document classification upload a document corpus that contains sufficient examples for each classification element. Pre-annotate and classify a subset of the documents manually.

.

The AI learns from the annotations. Experiment wiht models, and combine models with technical components into AI pipelines. Then deploy, embed and industrialize at scale.

We are here to help

Yes, we can integrate business vocabularies in the solution with a tight integration with Wikidata that we keep up-to-date. We can also suggest you new candidates (that you will have to validate) to continuoulsy enrich business vocabularies.

We implement a unique multilingual system with proven high accuracy. With a training dataset of sufficient size, a custom solution can be build.

It is necessary to give about 50 examples per concept sought to obtain good results.

Yes, it is possible to have a customized support if you wish. Kairntech can develop your solution according to your specifications in a few days.

See software pricing.

100% secured, 100% transparent

GDPR

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

Access

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

Hosting

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

Can document tagging be automated?