Domain ontology
Define concepts and relationships for the application. A pilot uses a template and guided model; production supports a custom ontology, with managed refresh available through expert services.
Lettria
Paid
Graph-native document intelligence for regulated industries and complex enterprise knowledge.
Lettriaとは？
Lettria's document-intelligence application, presented as Knowledge Studio and GraphRAG, helps business teams query complex enterprise knowledge. It parses documents, tables and technical content into ontology-powered graphs that connect facts and their sources, then retrieves answers across those relationships with provenance and reasoning paths for review.
The application is sold through scoped pilots and production deployments. Perseus is the underlying graph infrastructure and a separately available developer platform; its self-service free plan is not the access plan for this document-intelligence application.
Lettriaでできること
Text-to-Graph pipeline
Convert documents, tables, layouts, multimodal content, SAP exports, CSVs, and other enterprise sources into a connected, queryable knowledge graph.
GraphRAG retrieval
Use graph-based retrieval to follow multi-hop relationships across structured and unstructured information rather than relying only on keyword or vector matching.
Source traceability
Return source documents and reasoning paths with answers, supporting review, auditability, and verification of the information used.
Enterprise deployment options
Start in Lettria cloud; enterprise production can use VPC, with on-premises and air-gapped deployment through Enterprise plus Expert Services. Production scope includes SSO, SAML, audit logs and SIEM export.
利用シーン
“Regulatory obligation tracking”
Connect regulations, amendments, internal policies, and related documents so compliance teams can trace how obligations change over time.
“Biomedical and pharmaceutical research”
Link trial reports, laboratory results, scientific literature, and figures to support cross-source research with references to the underlying material.
“Technical standards compliance”
Relate engineering designs to standards, revisions, and incident precedents when assessing whether a component or system meets current requirements.
“Technical documentation search”
Unify manuals and specifications in an ontology-backed graph that engineering teams can query across complex documentation.
“Cross-report financial questions”
Connect figures, definitions and annexes across filings or reports to examine thresholds and trace the source documents behind an answer.
よくある質問
Who is the document-intelligence application for?
Knowledge and business teams working with complex documents in finance, healthcare, legal, engineering, manufacturing or energy. Perseus is the separate SDK-level path for developers building their own graphs; its free tier is not a free Knowledge Studio workspace.
What does GraphRAG add to retrieval?
It connects explicit relationships across documents and structured sources for multi-hop, numerical and temporal questions. Answers include source documents and reasoning paths. Use those references to check the extracted facts and interpretation before making a decision; traceability is not a guarantee that every answer is correct.
Can a team start with a pilot?
Yes. Engagements start with one scoped use case and an ontology plan. The pilot has one workspace and a capped document tier; production supports multiple workspaces, a custom ontology and custom ingestion. Pilot fees can be credited against the first year’s licence when converting to an Enterprise agreement.
How is the application purchased?
The GraphRAG application is sold through an agreed scope, rather than the Perseus self-service plans. Annual invoicing against a purchase order is the default; Enterprise can arrange other billing cycles. Platform licence and expert-service hours are separate line items, with no seat fees or per-query meters listed for this application.
Which deployment and support options apply?
Lettria cloud is the pilot path, with VPC available on Enterprise. On-premises and air-gapped deployment require Enterprise plus Expert Services. Embedded engineers and ontology experts can handle integration, workflow adaptation, ontology development and ongoing refresh as part of the agreed engagement.
クイック情報
- Product type
- Graph-native document intelligence platform
- Primary users
- Knowledge and business teams working with complex enterprise documents
- Core output
- Ontology-powered knowledge graphs
- Primary domains
- Finance, healthcare, legal, engineering, manufacturing, and energy
- Access model
- Paid, scoped pilot and production application; annual PO invoicing by default
- Reviewable output
- Answers with source documents and graph reasoning paths
Lettria のトラフィック分析
トラフィックデータは参考情報としてご利用ください。
- ドメイン評価
- 65
Lettriaの代替品
Neo4j Graph Intelligence Platform
neo4j.com
Neo4j Graph Intelligence Platform connects data as a graph so teams can query relationships, analyze connected data, and build knowledge layers for AI systems. It supports fully managed cloud services and self-managed deployments.
Stardog
www.stardog.com
Stardog is an enterprise knowledge graph-powered semantic AI platform that unifies distributed data and adds ontology-based context for analytics, AI applications, and connected decision-making. It is available for on-premises and cloud enterprise deployments, with a free commercial license for exploration.