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5 stars
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.
TRUSTED BY LEADING BUSINESS LEADERS AT
Solving the real RAG problem.
Harness graph-based conversational agent for 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.
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.
Ontology Building
Generate precise ontologies in seconds: our research-driven engine auto-structures your knowledge base without tedious manual mapping or guesswork.
Text2Graph
Convert any text into rich, actionable graphs: our fine-tuned open-source models outpace any closed-sourced model in speed and accuracy.
GraphRAG
Supercharge your Q&A workflow: combine graph retrieval and reasoning for transparent, traceable answers that boost performance and trust.
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.
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.
Extract and structure financial data to speed up audit, risk, and compliance workflows.
Accelerate contract review and compliance by detecting key clauses and obligations.
Turn technical documents into queryable graphs for faster development and QA.
Fast track impact with proven frameworks and expertise.
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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.
Plug in
→ Import your first document repository
→ Choose or customize your NLP pipeline
→ Run your first entity extraction
Dial it in
→ Connect to your existing tools
→ Refine extraction rules
→ Start querying and tagging at scale
Scale up
→ Automate analysis across your docs
→ Surface insights with no manual review
→ Cut processing time by 80%
Start to accelerate your AI adoption today.
Boost RAG accuracy by 30 percent and watch your documents explain themselves.