Knowledge ManagementGraph-Based AnalyticsAI Data Structuring

Lettria

Enhance enterprise AI reliability with structured knowledge graphs

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Lettria

Target Audience

  • Enterprise data teams
  • Healthcare analysts
  • Customer experience managers
  • Strategic planning executives

Hashtags

#EnterpriseAutomation#KnowledgeBaseAI#AICopilotBuilder#GraphRAG#MedicalTextAnalysis

Overview

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.

Key Features

1

GraphRAG Technology

Combines knowledge graphs with retrieval-augmented generation for accurate AI

2

Document Processing

Automates analysis of 50k+ documents/day in multiple formats

3

Relationship Mapping

Visualizes connections between data points for traceable insights

4

Enterprise Scaling

Handles millions of customer interactions and documents monthly

5

AI Copilot Creation

Builds custom assistants that reduce repetitive tasks by 75%

Use Cases

🩺

Process 10k+ medical reports monthly

📞

Analyze 1M+ customer calls annually

📈

Generate strategic org recommendations

🛍️

Improve retail product recommendations

💬

Automate shareholder Q&A responses

Pros & Cons

Pros

  • Handles complex unstructured data at enterprise scale
  • Provides traceable source verification for AI outputs
  • Reduces manual data processing by 75% in some cases
  • Specialized in medical/technical terminology understanding

Cons

  • Likely requires data team collaboration for setup
  • Pricing transparency unclear for smaller businesses

Frequently Asked Questions

What types of data can Lettria process?

Handles 50k+ documents/day including medical reports, customer calls, product reviews, and unstructured business texts

How does Lettria prevent AI hallucinations?

Uses knowledge graphs to trace assumptions back to source data and verify relationships

Can non-technical teams use the platform?

Yes, designed for both data experts and business users with verifiable outputs

Integrations

AWS Neptune

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