Lettria provides document intelligence solutions designed for regulated industries such as healthcare, finance, legal, and engineering. The platform focuses on transforming unstructured data into structured knowledge, supporting smarter and more context-rich decision-making processes.
Key features of Lettria include ontology enrichment, which allows users to build ontologies directly from their data, and a text-to-graph pipeline for constructing graph databases from raw text. The platform also offers GraphRAG, which combines graph and vector approaches, and a Private GPT feature for building and fine-tuning custom GPT-based chatbots. Lettria's Knowledge Studio and NLP Studio provide tools for extracting insights from raw text data through a Text Mining API and classifying text data using a Text Classification API that leverages user-defined ontologies. Additional capabilities include prompt engineering for SaaS products and document parsing.
Lettria highlights use cases such as structuring patient data for healthcare organizations and improving product recommendations for retail, as well as enhancing tools for verbatim analysis, speech analysis, and CRM enrichment. The platform appears to offer APIs and SDKs, as suggested by references to API documentation and GitHub resources, supporting integration into broader workflows.
Document intelligence is an AI & ML product. It focuses on extracting structured knowledge from unstructured documents for regulated industries. Document intelligence is a B2B product aimed at enterprises in regulated industries. Document intelligence is available on the web and API.
Lettria builds and maintains Document intelligence, and the product first shipped in 2026. The project is developed in the open on GitHub with 22 stars. Among its 9 catalogued features are ontology enrichment, text to graph pipeline, and Private GPT chatbot. It exposes integrations via a public API.
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