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Kairntech is for analysts, researchers, and business teams who need to turn large collections of documents into searchable information and structured data. Its low-code workspace lets teams create projects for tasks such as document classification, entity detection, knowledge extraction, and question answering over internal documents. Users can import documents, label examples, build and review training datasets, train and evaluate models, and combine models and processing components into reusable language-processing pipelines. For document search and question answering, teams can configure retrieval methods and metadata filters, then generate answers linked to their source passages. These tools can support work with research papers, patents, customer feedback, contracts, and other technical or business records. Kairntech is suited to organizations that want to develop and test document-analysis tools without writing code, as well as teams that need to integrate pipelines into other applications. The platform supports API-based integration and can be deployed in the cloud, private cloud, or on premises, depending on the organization’s requirements.
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