Increase your RAG accuracy by 30% by joining Lettria's Pilot Program. Request your demo here.

5 stars

Document intelligence for regulated industries

Lettria creates agents designed around complex and high-risk documents.
From multimodal content to advanced reasoning tasks. Our technology is made for teams targeting data quality and output reliability, away from hallucinations.

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Platform

Solving the real RAG problem

Harness graph-based conversational agent to improve regular RAG’s accuracy by 30%.
Built on our suite of 4 modules covering document parsing, ontology building, text-to-graph generation and GraphRAG.

Most RAGs lose structure with tables, diagrams, or multi-column layouts.

Lettria’s graph-based, layout-aware parsing keeps every element intact, preserving relationships and context so complex documents become fully accurate, queryable data sources.

Keyword search can’t handle multi-step, conditional numerical questions.

GraphRAG builds a semantic map of your knowledge, enabling reasoning across documents, applying constraints, and delivering answers that truly support decision-making.

Without structure, agents hallucinate and fail at complex workflows.

Lettria’s dynamic knowledge graph grounds agents in facts, enabling step-by-step reasoning, traceable decisions, and reliable execution in high-stakes environments.

Technology

Powered by the Lettria AI Engine™

Save months of engineering effort with an all-in-one AI pipeline. We untangle the complexity of unstructured data with document parsing, vector indexing, knowledge graph linking, and RAG orchestration, so your teams can focus on building advanced, verifiable AI solutions on a single platform.

Document Parsing

Parse the most complicated PDFs: our API reconstructs reading order, extracts tables and diagrams, so you finally understand your documents.

View Document Parsing

Ontology Building

Generate precise ontologies in seconds: our research-driven engine auto-structures your knowledge base without tedious manual mapping or guesswork.

See Ontology Building

Text to Graph

Convert any text into rich, actionable graphs: our fine-tuned open-source models outpace any closed-sourced model in speed and accuracy.

Explore Text to Graph

GraphRAG

Supercharge your Q&A workflow: combine graph retrieval and reasoning for transparent, traceable answers that boost performance and trust.

Learn about GraphRAG

Fall Launch 2025

Meet Lettria Perseus, our new model.

Lettria Perseus, where precision meets speed: 30% more accurate than any other LLMs on graph generation, schema-valid graphs under 20 ms. Build trustworthy graph-AI at enterprise scale.

Use cases

Helping analysts cracking big issues in every industry

From clinical trials to compliance, GraphRAG extracts insight from complex data and documents, powering safe, fast, and evidence-based decisions.

See case study

Extract and structure financial data to speed up audit, risk, and compliance workflows.

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Accelerate contract review and compliance by detecting key clauses and obligations.

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Turn technical documents into queryable graphs for faster development and QA.

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GET STARTED

Here’s what you can get done with Lettria in just 4 weeks.

Partnering with GraphRAG expert to accelare results, reduce risk, and unlock true analyst-level intelligence, without months of internal trial and error.

Week 1-4

Connect Your Data

 Defining project needs: current problem, stakeholders, metrics of success

 Collecting your relevant documents and sources

 Parsing unstructured data and structuring it

 Building initial ontology and knowledge graph using your data and Lettria resources

Weeks 5-8

Activate Insights

 Prototype development & testing

 Feedback loops using evaluation matrix

 Continuing enriching ontology, improving relationships in the graph

Weeks 9-12

Monitor & Improve

 Final iteration completed, preparing the system for deployment

 Integration into your information systems, production of API docs

 Final result: A verifiable, trustworthy AI

Start to accelerate your AI adoption today.

Boost RAG accuracy by 30 percent and watch your documents explain themselves.