Definitions are inconsistent and hard to reuse
- Definitions are scattered across multiple thesauri
- Search and reuse depend on exact wording
- Manual tagging doesn’t scale or stay consistent
- AI can’t tell when different words mean the same thing
Requirements that are clear, unambiguous, and connected
Our API links terms in your documents to shared ontologies, making content consistent, searchable, and ready for AI.
Before
The building shall ensure that each wall provides a fire resistance rating of at least 60 minutes to protect occupants during a fire event.
After
The building
shall ensure that each wall
provides a fire resistance rating
of at least 60 minutes
to protect occupants
during a fire event.
Benefits
The value we deliver
Save time and effort
Automate the process of finding and linking terms, so your team can focus on more important tasks.
Ensure consistency
Standardize terminology across documents and projects, improving communication and reducing errors.
Improve data quality
Improve information retrieval, automation, and decision-making for both humans and AI.
How it works
1. Find and analyze terms
Quickly identify key terms in your documents from multiple thesauri.
2. Tag and replace terms
Link terms in your documents to knowledge graphs with well-defined semantics.
3. Export annotations
Download structured data, including RDF triples and the annotated content.
AI Ready?
AI doesn’t just need text
AI needs meaning
Structured vocabularies teach AI what concepts actually mean in a specific context.
AI needs connected data
Knowledge graphs integrate data silos, giving AI a more holistic view to make smarter decisions.
AI needs data quality
The precision, consistency, and reliability of AI's data directly influence its performance, credibility, and overall effectiveness.
Get started
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