Lettria

Lettria introduces the Knowledge Studio, a sophisticated platform built on its pioneering GraphRAG technology. This solution is engineered to address the fundamental flaws of standard Large Language Models (LLMs), such as inaccuracies, hallucinations, and the 'black-box' nature of their responses. By creating a hybrid system that merges the contextual richness of knowledge graphs with the speed of vector databases, Lettria provides enterprises with a reliable and transparent way to interact with their most complex data. It transforms unstructured documents, reports, and communications into a structured, queryable knowledge base, ensuring that every piece of AI-generated insight is traceable back to its source.

The platform is designed to be business-friendly, empowering teams across various departments to leverage advanced AI without requiring deep technical expertise. Lettria's core mission is to make Generative AI safe and reliable for business-critical operations, turning vast stores of proprietary data from a passive repository into an active, intelligent partner for growth and efficiency.

How to use Lettria

Getting started with Lettria is a consultative process tailored to enterprise needs. The typical workflow involves the following steps:

1. Request a Demo: The initial step is to contact Lettria's team through their website to schedule a personalized demo. This allows them to understand your specific project, data types, and business objectives.
2. Document Importation and Parsing: Once engaged, you can upload your data sources. The platform ingests and processes various formats of structured and unstructured data, such as documents, reports, emails, and call transcripts. It carefully cleans and preprocesses the data, breaking it down into manageable text chunks while preserving essential metadata.
3. Knowledge Graph Creation: Lettria's Natural Language Structuring API analyzes the text chunks to perform entity recognition and linking. It identifies key entities (like people, organizations, concepts) and the relationships between them, automatically constructing a comprehensive knowledge graph.
4. Vectorization and Indexing: In parallel, the text chunks are converted into vector embeddings. This dual approach ensures that semantic search is fast and efficient, quickly narrowing down the most relevant information.
5. Hybrid Database Integration: The structured knowledge graph and the vector embeddings are merged and reconciled into a single, powerful database. This hybrid system powers all subsequent RAG applications, allowing for both nuanced, context-aware queries and rapid retrieval.
6. Build and Query: With the knowledge base in place, users can build AI copilots or other applications to query the data using natural language. The system delivers precise, verifiable answers, complete with source attribution.

Core Features of Lettria

• GraphRAG Technology: A hybrid approach combining knowledge graphs and vector RAG to significantly improve accuracy and eliminate hallucinations.
• Knowledge Studio: An integrated, user-friendly platform for managing the entire data-to-insight pipeline, from document parsing to building AI applications.
• Automated Knowledge Graph Construction: Automatically extracts entities and relationships from unstructured text to build a structured, interconnected data model.
• Verifiable and Transparent AI: Every answer generated by the system can be traced back to the original source documents, ensuring full transparency and building user trust.
• Advanced Document Parsing: Capable of processing and understanding complex data formats, including tables, technical reports, and legal contracts.
• Secure and Private: Designed for enterprise use, ensuring that all data is processed within a secure environment and sensitive information remains confidential.
• No-Code/Low-Code Interface: Empowers non-technical users, such as business analysts and subject matter experts, to build and use powerful AI tools.

Use Cases for Lettria

Lettria's platform is versatile and delivers value across numerous industries:

• Healthcare: Structuring and analyzing unstructured patient reports, clinical trial data, and medical research to accelerate insights and support decision-making while maintaining privacy.
• Finance: Automating the analysis of financial reports, shareholder communications, and market research to identify risks, opportunities, and strategic insights. An investor relations team reduced time spent on Q&A by 75%.
• Legal: Organizing and searching vast libraries of legal texts, contracts, and case law to speed up due diligence and research, ensuring critical details are not missed.
• E-commerce & Retail: Analyzing tens of thousands of online reviews daily to optimize point-of-sale strategies and improve product recommendations.
• Customer Support: Automatically processing over 1 million customer calls per year, performing conversational analysis and enriching CRM systems with actionable data.
• Corporate Strategy: Analyzing unstructured internal documents to generate strategic recommendations for organizational restructuring and process optimization.

Advantages of Lettria

Lettria offers a distinct competitive edge for enterprises looking to deploy generative AI responsibly:

• Superior Accuracy: Claims to increase RAG accuracy by up to 30% compared to traditional vector-only RAG models.
• Trust and Reliability: By eliminating hallucinations and providing source-traceable answers, it builds confidence and promotes daily adoption of AI tools.
• Unlocks Hidden Value: Transforms dormant, unstructured data into an active, queryable asset that drives business growth.
• Efficiency and Automation: Turns tedious, manual tasks of data review and analysis into quick, automated workflows, saving teams significant time and resources.
• Business-Friendly: The platform's intuitive design makes advanced AI accessible to a wider range of users within an organization, not just data scientists.

Pricing and Plans

Lettria operates on a custom pricing model tailored to the specific needs of each enterprise client. There are no publicly listed pricing tiers. Access to the platform and its services is provided after a consultation and a personalized demo, where Lettria's experts assess the scope of the project, data volume, and desired outcomes to create a bespoke plan. To get started, interested organizations must request a demo via the official website.