Knowledge Extraction

Knowledge extraction quickly categorizes and tags content. Save time, reduce errors and enhance value by making information easily findable and discoverable.


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

Turn your documents into accurate, actionable data

Stop manually reviewing documents or relying on unreliable extraction tools. With Kairntech, you get precise, structured information you can actually use.

  • Extract the right information with high accuracy
  • Build quality datasets faster
  • Remove ambiguity automatically
  • Connect data to your knowledge bases

Classify your documents faster and with confidence

Stop sorting documents manually or juggling multiple tools. Automatically organize your content with accuracy, across topics and languages.

  • Build powerful classifiers in minutes without complex setup
  • Rely on deeper semantic understanding
  • Work seamlessly across languages

Deploy easily and scale without limits

Integrate AI into your workflows without disruption, and scale as your document volumes and business needs grow.

  • Deploy where it fits your environment (On-premise or REST API)
  • Keep improving model performance with human-in-the-loop
  • Handle millions of documents effortlessly

Want to learn more?

1

Create entity detection dataset: upload documents, pre-annotate with 0/few-shot learning, validate manually, enrich by using active learning.

2

Create text classification dataset: upload documents, pre-annotate with manually, enrich by using active learning.


3

The AI learns from the annotations. Train models, combine with technical components into AI pipelines. Deploy, embed and industrialize at scale.

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.

Want to learn more ?

Kairntech’s Knowledge Extraction is an AI solution that enables organizations to automatically extract information from unstructured documents and data (PDFs, text files, emails, reports, etc.). With Knowledge Extraction, these large and heterogeneous documents are transformed into structured, machine-readable data, making it easier to search, analyze, and leverage for business purposes.

The goal is to make useful information easily accessible within large document collections. For example, it can automatically identify entities (names, locations, business terms), classify documents by topic, enrich databases, or create datasets for AI models.

A standard OCR tool simply converts documents into readable text, and basic text analysis mainly identifies keywords.

Kairntech’s Knowledge Extraction goes further: it automatically identifies the truly important information in your documents (for example, names, dates, amounts, or business references) and organizes it so it can be easily retrieved, analyzed, and reused in your tools or internal processes.

This technology helps organizations to:

  • Improve information structuring and search across complex document collections.
  • Save time by automating document processing,
  • Reduce human errors in data interpretation,
  • Create high-quality datasets

Yes. Kairntech offers on-premise or private European cloud deployments, with granular access control and GDPR compliance measures to ensure that your confidential data remains fully protected.

Yes. Knowledge Extraction integrates via REST APIs and connectors, making it easy to use with your internal applications, databases, or analytics tools.

By choosing Kairntech, organizations benefit from a European solution designed for real-world security, sovereignty, and compliance requirements. It also allows customization of extracted information using business-specific vocabularies, handling large document volumes, and industrializing AI workflows.