lettria

lettria

Lettria provides a Graph Context Layer that transforms structured and unstructured enterprise information into ontology-powered knowledge graphs for traceable, production-grade AI in regulated industries.

lettria is research software teams evaluate for research. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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#96 in Research (96 tools)
Just launched
Data reviewed Aug 21, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Research

What it does

Research software for decision-makers comparing workflow fit and alternatives.

Best fit

Research

Pricing snapshot

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lettria

Lettria provides a Graph Context Layer that unifies structured data and unstructured knowledge into ontology-powered knowledge graphs so AI systems can reason, trace and verify answers. The company positions its offering for complex and regulated industries, emphasizing audit-ready, traceable answers and production deployments. Lettria offers two primary paths: Knowledge Studio (GraphRAG) for knowledge and business teams focused on document intelligence and compliance, and Perseus for developers and technical teams to generate ontologies and build production-ready knowledge graphs.

Lettria transforms unstructured data into structured knowledge using AI and GraphRAG.

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Key Features

Ontology Building

Auto-generate production-grade ontologies from your domain in days rather than months; governed and version-controlled domain models.

Text-to-Graph / Document Parsing

Turn documents, tables and exports (e.g., SAP) into clean, queryable knowledge graphs; the Text-to-Graph pipeline is benchmarked for higher extraction accuracy and speed.

Graph Retrieval (GraphRAG)

Graph-based retrieval that provides full provenance on every answer, enabling multi-hop reasoning and audit-ready responses instead of similarity-only vector search.

Perseus (Developer Platform)

Generate ontologies and knowledge graphs quickly, keep business experts in the loop, and build/version graphs for production deployments.

Governance & Traceability

Designed for compliance and traceability: every answer traces back to its source and ontologies are governed and version-controlled.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Document intelligence for regulated industries

Knowledge Studio (GraphRAG) converts complex documentation into ontology-backed graphs for regulated workflows where traceability and auditability are required.

Generate production-ready ontologies

Perseus helps developers and technical teams create and version ontologies and knowledge graphs faster with business expert involvement.

Biomedical and healthcare knowledge structuring

Used to structure biomedical research and clinical knowledge for safer clinical AI (case studies: WiseCube, AP-HP).

Technical documentation & engineering

Unify manuals, specs and industrial documentation into an ontology-backed knowledge graph for engineering teams (case study: Alfa Laval).

Large product catalog taxonomy

Unify sprawling product catalogs into a consistent, machine-readable taxonomy (case study: Leroy Merlin).

Integrations

Native tables & document sources

Supports tables, layouts and multimodal documents as inputs for Text-to-Graph.

SAP exports

Explicit mention of turning SAP exports into a clean, queryable knowledge graph.

Enterprise data sources (general)

Connects the sources you already have to build unified graphs from structured and unstructured enterprise data.

Benefits

Traceable, audit-ready answers where every response traces back to source documents and provenance.
Higher accuracy and faster extraction: Text-to-Graph claims +30% more accurate and up to 400× faster than general LLMs (per published benchmarks).
Faster ontology creation: days to model rather than months, with governance and version control.
Production-proven in regulated industries with multiple enterprise case studies and benchmarks.

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Choose your path — Explore Knowledge Studio (GraphRAG) for knowledge teams or Try Perseus for developer-focused ontology and graph building.
  2. 2 Step 2: Request a demo or book a demo via the website to evaluate fit for regulated or complex deployments.
  3. 3 Step 3: Engage forward-deployed services if needed (embedded engineers and ontology experts) to integrate systems and move to production.

Support

Contact / Sales

Request a demo or contact Lettria via the contact page to discuss deployments and evaluation.

Resources / Documentation

Resources on the site include Blog, Lettria Lab, Case Studies, Benchmarks and Glossary for technical and product information.

Forward Deployed / Professional Services

Embedded engineers, ontology experts and applied AI specialists for system integration, custom workflows and production deployment.

API

Available: No

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