Lettria

Lettria is an AI platform that improves GenAI apps. It works on complex data, unlocks deep knowledge, and builds trust. See success stories!
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Lettria: Enhancing GenAI Apps with Trust and Explainability

GraphRAG for Enterprise GenAI - Lettria

Lettria is an innovative AI-powered platform that offers a range of features and benefits for enterprises. It focuses on embedding trust and explainability into GenAI apps, which is crucial in the era of AI.

The platform's GraphRAG technology works wonders on complex unstructured data. It allows for the parsing and processing of this data while maintaining quality control through a business-friendly graphRAG platform. This not only builds trust but also ensures the explainability of the applications.

One of the key aspects of Lettria is its ability to unlock deep knowledge. It enables businesses to leverage complex, cryptic, evolving, and distributed data for clever AI use cases. By doing so, it helps enterprises make the most of their domain-specific knowledge and value.

Maintaining explainability is another important feature of Lettria. Tracing each assumption back to its source is essential for a machine to maintain credibility, and Lettria ensures this is possible.

In addition, Lettria automates the grunt work of converting text into a knowledge graph, saving time and effort. It also prevents hallucinations by keeping the subtleties of complex data intact when processed through GraphRAG.

Lettria has numerous success stories. For example, category managers have rapidly improved ecommerce product recommendations with automated document parsing and robust data model enrichment. In just two weeks, the platform implemented a system for parsing and processing 50,000 online reviews per day for POS optimization and more. Moreover, one million calls per year are automatically processed for conversational analysis and entered into the CRM system.

Overall, Lettria is a powerful tool for enterprises looking to enhance their GenAI applications with trust, explainability, and efficient data processing capabilities.

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