Lettria is an AI-powered platform from Lettria that changes unstructured data into structured knowledge. It provides tools for document understanding, knowledge extraction, and actionable insights so users can make informed decisions. The platform supports the processing of complex documents and offers verified knowledge tailored to various industries. With advanced capabilities, analysts can tackle significant issues efficiently. Lettria is designed to improve the decision-making process for teams that require reliable analytics and insight generation. Key capabilities: document understanding knowledge extraction actionable insights industry-specific applications verified knowledge Best for: data analysts and teams that need to convert complex documents into structured information for better decision-making.
Lettria by Lettria is an advanced conversational AI platform designed to help businesses and institutions fully leverage Natural Language Understanding (NLU) without the extensive coding or technical barriers typically associated with AI development. Its primary purpose is to democratize access to NLU by providing a low-code environment for building custom language models, extracting insights from textual data, and automating complex linguistic tasks. Key features include a collaborative no-code platform, customizable knowledge graphs, semantic analysis, entity recognition, sentiment analysis, and the ability to create tailor-made NLU engines specific to a user’s domain or business needs. Lettria is particularly well-suited for organizations that demand precision and control over language data processing, such as legal, healthcare, finance, and academia. The user interface of Lettria is polished and intuitive, built with usability in mind for non-technical and technical users alike. The dashboard is well-organized, offering users a clear view of their projects, datasets, and models at a glance. A standout feature is its visual knowledge graph editor, which allows users to build and manage semantic networks without needing to write complex code.
Lettria's core innovation that uses knowledge graphs in the Retrieval Augmented Generation (RAG) process.
Enables tracing AI's assumptions and relationships back to their source for trustworthiness.
A business-friendly platform utilizing GraphRAG to process complex, unstructured data.
Aims to significantly increase the accuracy of Generative AI outputs, specifically mentioning a 30% improvement potential.
Capable of understanding and processing difficult and unorganized data formats.
This is a core principle and capability of Lettria's technology, meaning the AI's reasoning and answers can be clearly understood and checked against the source data.
Identifies the challenge that Lettria's solution is designed to solve for businesses.
This is the fundamental technology developed by Lettria, combining knowledge graphs with Retrieval Augmented Generation (RAG).
A direct outcome of using Lettria's technology, emphasizing the reliability of the information provided by the AI.
Highlights a significant potential improvement in the correctness of answers generated by AI when using Lettria's approach.
a GraphRAG solution: Names the primary platform offered by Lettria and states that it is built upon their GraphRAG technology.
Describes the platform's ability to process difficult-to-organize information, such as free text documents.
Indicates that the platform is designed to be accessible and usable for business users, not just technical experts.
Assures that the platform accurately interprets the information contained within a company's data sources.
Combines speed with the ability to check the source of the AI's responses.
Encourages potential users to implement this type of trustworthy AI in their operations.
VectorRAG vs. Lettria's GraphRAG (Comparison/Resource): Refers to a resource that provides a comparison highlighting the advantages of Lettria's approach over traditional VectorRAG methods.
Indicates that the platform is relevant and has applications within the healthcare sector.
Indicates that the platform is relevant and has applications within the finance sector.
Indicates that the platform is relevant and has applications within the legal sector.
Indicates that the platform is relevant and has applications within the engineering sector.
A general advantage of using the platform, stemming from increased efficiency.
A positive outcome, particularly important in industries like healthcare, indicating increased accuracy and reliability.
Highlights how the technology is intended to enhance, rather than hinder, operations in healthcare settings, especially concerning sensitive data and critical decisions.
Describes the ability to make the valuable information hidden within complex data accessible and usable.
Explains how leveraging previously difficult-to-access data can lead to new AI applications that drive business expansion.
The ability to check the source and reasoning behind the AI's responses.
Details the mechanism that allows users to see exactly where the AI got its information from.
Suggests an ongoing process where the AI validates its own outputs against the source data.
A positive outcome where users gain confidence in the AI's reliability.
The high quality of answers leads to positive impressions among internal users.
The clarity and understandability of how the AI works encourages regular use by teams.
Enables the automation of tedious and monotonous tasks.
Explains that the underlying knowledge graph structure facilitates the automation of routine tasks.
A quantifiable benefit indicating a significant reduction in time spent on repetitive tasks.
The ability to stop the AI from generating false or invented information.
Suggests that by understanding the overall context (big picture) and specific facts (details) from the data via the knowledge graph, the AI is less likely to hallucinate.
Listed as a specific solution offering, emphasizing the core technology.
A specific component or service that transforms text-based data into a knowledge graph format.
A service or capability that enhances or builds the structured framework (ontology) used in the knowledge graph.
Provides a general summary of the different solutions offered by Lettria.
Information detailing the sectors and specific applications where Lettria's technology can be used.
A specific application or tool for analyzing text word-for-word.
A specific application or tool for analyzing spoken language.
Suggests an offering that allows companies to use a version of ChatGPT in a private, potentially more secure, environment, likely integrated with their own data via GraphRAG.
Provides articles and updates from Lettria.
Likely a section or resource related to research and development.
A resource related to evaluating or using tools for building ontologies.
A resource related to evaluating or using tools for analyzing sentiment in text.
A resource related to evaluating or using tools for converting text into knowledge graphs.
A specific process that is automated by Lettria's platform, highlighted as beneficial by a customer.
A specific application where the platform is used to analyze customer feedback from online reviews.
The ability to analyze the content and context of conversations.
A core capability demonstrated in handling various text documents.
An outcome achieved by a customer using the platform to derive insights from processed data.
The platform can be used to build AI assistants that work alongside human users.
A specific, measurable improvement achieved by a customer in handling questions from shareholders.
A specific application in healthcare where the platform processes medical documents.
Demonstrates the platform's ability to process specialized language within specific domains like medicine.
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Lettria is an AI-powered platform from Lettria that changes unstructured data into structured knowledge. It provides tools for document understanding, knowledge extraction, and actionable insights so users can make informed decisions. The platform supports the processing of complex documents and offers verified knowledge tailored to various industries. With advanced capabilities, analysts can tackle significant issues efficiently. Lettria is designed to improve the decision-making process for teams that require reliable analytics and insight generation. Key capabilities: document understanding knowledge extraction actionable insights industry-specific applications verified knowledge Best for: data analysts and teams that need to convert complex documents into structured information for better decision-making.
Does Lettria have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
N/A
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Contact
+33 6 10 32 89 28Documentation
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