LETTRIA specializes in Natural Language Processing (NLP) for the French-speaking market, employing algorithms to analyze and interpret text data. The company enhances communication efficiency and provides actionable insights for businesses by automating language understanding and processing tasks.
Funding
$5.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
GEFounders
Product
Problem
Large language models (LLMs) often struggle with accuracy and can "hallucinate" information when processing complex, unstructured data, leading to untrustworthy results for business-critical applications. Traditional AI solutions may miss crucial details and distort data, hindering effective knowledge discovery and decision-making.
Solution
Lettria's Knowledge Studio is a GraphRAG platform designed to enhance the accuracy and reliability of enterprise GenAI applications. By combining graph database technology with vector embeddings, the platform enables businesses to unlock knowledge from complex, evolving, and distributed data sources. Lettria's solution ensures verifiable answers by tracing each assumption and relationship back to its source, promoting transparency and trust in AI-driven insights. The platform automates tedious tasks, prevents hallucinations, and delivers reliable results for various industries, including healthcare, finance, legal, and engineering.
Target Audience
Lettria's primary customers are enterprises in healthcare, finance, legal, and engineering industries seeking to improve the accuracy and reliability of their GenAI applications.
Features
- GraphRAG (Graph Retrieval Augmented Generation) technology combines graph databases and vector embeddings for improved accuracy.
- Text to Graph Pipeline automatically builds a GraphDB from raw text data.
- Ontology Enrichment tools build and refine ontologies from existing data.
- Document Parsing capabilities to process unstructured data.
- Private GPT functionality to build and fine-tune custom GPT chatbots.
- Text Mining API extracts insights from raw text data.
- Text Classification API classifies raw text data using a defined ontology.
- Prompt Engineering tools for SaaS applications.