GRAPH CONTEXT LAYER FOR ENTERPRISE AI

The Graph Context Layer powering the AI stack

We unify structured data and unstructured knowledge into ontology-powered graphs that make enterprise AI grounded, traceable, and trusted.

Background

Choose your path into the Graph Context Layer

Use GraphRAG to turn complex enterprise knowledge into reliable, traceable answers. Use Perseus to build production-grade graph agents on a ready-to-use infrastructure.

FOR KNOWLEDGE & BUSINESS TEAMS

Knowledge Studio

The graph-native document-intelligence platform for regulated industries. Where vector RAG hallucinates, GraphRAG reasons.

01

Ontology-powered document intelligence

02

30%+ more accurate, audit-ready by design

03

Built for compliance and traceability

FOR DEVELOPERS & TECHNICAL TEAMS

Perseus

Generate ontologies and knowledge graphs in minutes, not months. Create production-ready ontologies and graphs faster, with business experts in the loop.

01

Generate ontologies from your domain data

02

Build and version knowledge graphs faster

03

Keep business experts in the loop

Complex enterprise deployment ?

Explore Forward Deployed

Trusted by teams turning complex knowledge into reliable AI.
The problem

Vectors retrieve.
Graphs reason.

Vector search works well for simple retrieval, but reaches its limits when AI must connect multiple sources, understand structured business data and provide answers that can be verified.

The result:  hallucinations, untraceable answers and AI pilots that struggle to reach production.
THE GRAPH CONTEXT LAYER

The missing layer between your enterprise data and your AI

Lettria transforms structured and unstructured information into ontology-powered knowledge graphs that AI systems can reason over, inspect and verify.

CORE CAPABILITIES

Three capabilities.
One coherent layer

Lettria structures domain knowledge, transforms enterprise data into connected graphs and enables AI systems to retrieve answers through traceable reasoning paths.

Ontology Building

Days to model · Not months

Auto-generate production-grade ontologies from your domain, in days, not months.

Built automatically, not hand-modeled

Captures your domain’s real logic

Governed and version-controlled

Explore Ontology Building

Text-to-Graph

+30% more accurate, 400× faster than general LLMs

Turn messy documents, tables and SAP exports into a clean, queryable knowledge graph.

Structured + unstructured, unified

Native tables, layouts, multimodal

Connects the sources you already have

View Text-to-Graph benchmark

Graph Retrieval

Zero hallucinations · By design

Every answer traces back to its source, so your AI is audit-ready — not a black box.

Multi-hop reasoning, not keyword match

Full provenance on every answer

Ready for regulatory review

Explore GraphRAG

BENCHMARK COMPARISON

Where vectors break, graphs reason

Vector retrieval is effective for similarity search. Graph-based agents follow explicit relationships across connected enterprise knowledge to support more complex, verifiable reasoning.

Capability
Vector Agents
Graph Agents · Lettria
Multi-hop reasoning
Low
90%+
Numerical reasoning
Low
100%
Temporal reasoning
50%
83
Overall accuracy
57.5%
81.7%

Trusted in the most demanding domains

Lettria combines benchmark-backed performance with external validation and real-world production deployments.

Benchmark results

Published evaluations measure Lettria’s ontology generation, Text-to-Graph pipeline and graph-based reasoning.

  • 30%+ more accurate
  • Up to 400× faster
  • 81.7% overall accuracy

Explore benchmark methodologies

External validation

Research publications, analyst recognition and technical talks support Lettria’s expertise in knowledge graphs and applied AI.

  • Research papers
  • Analyst mentions
  • Conference talks

Explore research & publications

Customer results

Organizations use Lettria to structure complex knowledge, improve information access and deploy traceable AI in production.

  • Alfa Laval
  • WiseCube
  • AP-HP — and more

View all case studies

SECTORS

Built for complex and regulated industries

Lettria connects complex documents, structured data and domain knowledge so enterprise AI delivers reliable, verifiable answers.

Finance

Make financial, regulatory and ESG information easier to structure, verify and query — producing reliable, traceable answers.

Explore FINANCE

Healthcare

Structure medical, scientific and pharmaceutical knowledge with traceable sources and accuracy.

Explore Healthcare

Legal

Navigate contracts, regulations and complex legal corpora with greater traceability across evolving knowledge bases.

Explore Legal

Engineering

Turn technical documentation into connected, usable enterprise knowledge from manuals, specs and complex industrial content.

Explore ENGINEERING

FORWARD DEPLOYED

Some problems need our team, not just our product

Lettria embeds engineers and ontology experts alongside your teams to solve knowledge problems that cannot be addressed through software alone.

Embedded engineers

Engineers work alongside your technical teams to connect systems, adapt workflows and move projects from prototype to production.

  • System integration
  • Custom workflows
  • Production deployment

Ontology experts

Domain specialists help define concepts, relationships and knowledge structures adapted to your business environment.

  • Domain modeling
  • Knowledge architecture
  • Governance and consistency

Applied AI specialists

Lettria helps teams align data, graph infrastructure and AI applications around a reliable production-ready architecture.

  • Use-case design
  • Evaluation and benchmarking
  • Operational deployment
8 Years

Applied AI expertise

Benchmarks

Published methodologies

Production

Enterprise deployments

Research

Papers and technical talks

Turn complex enterprise knowledge into reliable AI

Choose the path that fits your team: explore Knowledge Studio or start building with Perseus.