Lettria: Document Intelligence for Regulated Industries

Lettria

3.5 | 29 | 0
Type:
Website
Last Updated:
2025/10/22
Description:
Lettria is an AI platform that transforms unstructured data into structured knowledge using GraphRAG, enhancing decision-making in regulated industries like finance, healthcare, and legal.
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document parsing
knowledge graph
graphRAG
AI platform
data extraction

Overview of Lettria

What is Lettria?

Lettria is an AI-powered document intelligence platform designed for regulated industries. It focuses on transforming unstructured data into structured knowledge, enabling smarter, context-rich decision-making. Lettria's technology is built for teams that require high data quality and output reliability, minimizing hallucinations and ensuring trustworthy AI solutions.

How does Lettria work?

Lettria addresses the challenges of traditional RAG (Retrieval-Augmented Generation) systems by leveraging a graph-based conversational agent. This approach improves accuracy by 30% compared to regular RAG systems. The platform is built on four key modules:

  • Document Parsing: Preserves the structure of complex documents, including tables, diagrams, and multi-column layouts, ensuring all elements remain intact.
  • Ontology Building: Automatically structures knowledge bases without manual mapping, enabling precise ontology generation in seconds.
  • Text-to-Graph Generation: Converts text into actionable graphs using fine-tuned open-source models, outperforming closed-source alternatives in speed and accuracy.
  • GraphRAG: Combines graph retrieval and reasoning to provide transparent, traceable answers, boosting performance and trust in question-answering workflows.

Key Features

  • Layout-Aware Parsing: Maintains the integrity of complex documents by preserving relationships and context.
  • Semantic Mapping: Builds a semantic map of knowledge, enabling reasoning across documents and application of constraints.
  • Dynamic Knowledge Graph: Grounds agents in facts, enabling step-by-step reasoning and reliable execution in high-stakes environments.
  • Lettria AI Engine™: An all-in-one AI pipeline that simplifies the complexity of unstructured data with document parsing, vector indexing, knowledge graph linking, and RAG orchestration.
  • Lettria Perseus: A new model that offers 30% more accuracy than other LLMs on graph generation, delivering schema-valid graphs in under 20 ms.

Technology

Lettria’s technology includes:

  • Document Parsing API: Reconstructs reading order and extracts tables and diagrams from complex PDFs.
  • Ontology Building Engine: Auto-structures knowledge bases without manual effort.
  • Text to Graph Models: Converts text into rich, actionable graphs with high speed and accuracy.

Why choose Lettria?

  • Improved RAG Accuracy: Boosts regular RAG accuracy by 30% using graph-based conversational agents.
  • Comprehensive Data Handling: Parses complex PDFs and maintains document structure.
  • Efficient Knowledge Structuring: Generates precise ontologies in seconds.
  • Transparent and Traceable Answers: Combines graph retrieval and reasoning for verifiable AI.
  • All-in-One AI Pipeline: Simplifies the development of advanced AI solutions with an integrated platform.

Who is Lettria for?

Lettria is designed for analysts and teams in regulated industries such as:

  • Healthcare: Extracts insights from clinical trials and compliance documents.
  • Finance: Structures financial data for audit, risk, and compliance workflows.
  • Legal: Accelerates contract review and compliance by detecting key clauses.
  • Engineering: Turns technical documents into queryable graphs for faster development and QA.

How to use Lettria?

Lettria offers a structured approach to integrating its platform:

  • Weeks 1-4: Connect Your Data: Define project needs, collect relevant documents, parse unstructured data, and build an initial ontology and knowledge graph.
  • Weeks 5-8: Activate Insights: Develop and test prototypes, gather feedback, and enrich the ontology.
  • Weeks 9-12: Monitor & Improve: Finalize iterations, integrate into information systems, and prepare for deployment.

Use Cases

Lettria is applied across various use cases to:

  • Extract and structure financial data for audit, risk, and compliance.
  • Accelerate contract review and compliance by detecting key clauses and obligations.
  • Turn technical documents into queryable graphs for faster development and QA.

By partnering with GraphRAG experts, Lettria accelerates results, reduces risk, and unlocks analyst-level intelligence without extensive internal trial and error. Request a demo to see how Lettria can transform your unstructured data into valuable knowledge.

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