Enhance enterprise AI reliability with structured knowledge graphs
Lettria transforms unstructured business data into organized knowledge graphs that power trustworthy AI applications. It automatically processes documents, customer interactions, and technical reports to help teams make data-driven decisions faster. The platform reduces manual data work while preventing AI hallucinations through verifiable relationships in your data.
Combines knowledge graphs with retrieval-augmented generation for accurate AI
Automates analysis of 50k+ documents/day in multiple formats
Visualizes connections between data points for traceable insights
Handles millions of customer interactions and documents monthly
Builds custom assistants that reduce repetitive tasks by 75%
Handles 50k+ documents/day including medical reports, customer calls, product reviews, and unstructured business texts
Uses knowledge graphs to trace assumptions back to source data and verify relationships
Yes, designed for both data experts and business users with verifiable outputs
This tool is best for:
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Recent data shows that Lettria has 14.0K monthly visits (31.1% increase from the previous month), 46.0% bounce rate, and average 1.63 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 26% of total traffic. SEO performance is shown by 5 tracked keywords, with "good prompting for ai to be more balanced and to use a normal vocabulary" being the top-performing keyword with 0 monthly searches. See below for more info.
Monthly Visits
14.0K
Pages per Visit
1.63
Bounce Rate
46.0%
Average Time on Site
31s
| SEO Keyword | Volume | CPC |
|---|---|---|
| good prompting for ai to be more balanced and to use a normal vocabulary | 0 | - |
| which tools connect and visualize ontologies? | 190 | - |
| lettria | 200 | - |
| defining type categories graphrag pdf | 150 | - |
| llm customer verbatim use cases | 110 | - |
| Source | Traffic Share |
|---|---|
| Direct | 37% |
| Search | 47% |
| Social | 5% |
| Referrals | 11% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 26% |
 | 15% |
 | 13% |
 | 12% |
 | 10% |
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