Train and fine-tune your own AI classification models with Nuclia

Automatically classify your data with Nuclia’s Labeler AI Agents

Nuclia’s Labeler Agents streamline the classification of your content by automatically annotating text blocks and resources with relevant labels. This intelligent labelling enhances the structure and organisation of your knowledge base, making it easier to search, manage, and retrieve information. Whether you’re working with contracts, reports, or domain-specific content, automated labelling helps you build structured datasets effortlessly and at scale.

Labeler Agent for document auto-classification

Nuclia’s Labeler Agents enable you to effortlessly classify your resources. With this capability, you can teach Nuclia Agents how to accurately classify different types of data, including contracts, reports, and NDAs. The applications of labeler Agents extend far beyond simple classification, as it can help users find the right answers quickly, narrow search results to specific labels, and even set up security access permissions based on resource labels.

Use Cases

Data auto-classification

Nuclia Agents let you classify your company’s documents, such as contracts, reports, and NDAs, automatically organizing them for easier management.

Enhanced Search

Enable users to find relevant information by limiting searches to resources with specific labels, improving the accuracy and speed of searches.

Security Access Management

Utilize labels to establish security access permissions, ensuring sensitive data is appropriately restricted to authorized personnel only.

Labeler Agents for paragraphs

In addition to documents classification, Nuclia allows to train Agents specifically for paragraph-level classification. This feature is perfect for identifying similar paragraphs within contracts or documents, as well as detecting paragraphs discussing similar topics. By harnessing the power of AI, you can streamline information retrieval and perform content analysis at an unprecedented level of accuracy.

Use Cases

Contract Analysis

Teach Nuclia to identify paragraphs with similar content within contracts, making it easier to spot common clauses or specific provisions.

Content Categorization

Detect paragraphs talking about the same topics across various documents, enabling you to gain valuable insights from large datasets efficiently.

AI Label search intent

Our label search intent training feature empowers users to build a phrase-based classifier using labeled resources and paragraphs within their Knowledge Box (KB). This process creates a sophisticated model that suggests relevant labels during searches, leading to more targeted and precise results.

Refined Search Experience

By using the search intent model, users can receive label suggestions as they conduct searches, improving the search experience and delivering more accurate results. See an example

AI Named Entity Recognition Model

Train your very own Named Entity Recognition (NER) model with our platform. NER is a powerful AI technique that identifies and classifies entities within text, such as names of people, organizations, locations, dates, and more. By training a custom NER model, you can extract critical information from your documents with ease.