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

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Document intelligence built for regulated industries

Lettria builds agents designed around complex, high-risk documents. Including multimodal content and advanced reasoning tasks.
Built for teams who can't afford hallucinations.

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Platform

Solving the real RAG problem

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

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—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.

Doc Parsing

Tame even the wildest PDFs: our API reconstructs reading order, extracts tables and diagrams, so you finally understand your documents.

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Ontology Building

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

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Text2Graph

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

Explore Text2Graph

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 own 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.

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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 the GraphRAG expert to accelareresults, reduce risk, and unlock true analyst-level intelligence — without months of internal trial and error.

Week 1-4
Weeks 5-8
Weeks 9-12

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 & knowledge graph using your data and Lettria resources

Activate Insights

 Prototype development & testing

 Feedback loops using evaluation matrix

 Continuing enriching ontology, improving relationships in the graph

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.