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Lettria

by Lettria · Since 2019
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ActiveAvailable globallyCloud
Quick facts
VendorLettria
Year launched2019
StatusActive
Location9, Rue d'alexandrie, Paris, Île-de-France 75002, FR
Countries servedGlobal
Languages6
Integrations
Free tier
Free trial
Contact salesYES

About Lettria

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.

Pros & Cons

What users like
  • +Increased GenAI Accuracy: Claims to improve RAG accuracy significantly, potentially by 30%, by overcoming issues like hallucinations and missed details.
  • +Transparent and Verifiable AI: Allows users to trace the source of the AI's answers and reasoning, building trust and enabling verification.
  • +Handles Complex, Unstructured Data: Capable of processing difficult-to-organize information from documents and various sources.
  • +Business-Friendly Platform: Designed to be accessible and usable for business users, not just technical experts.
  • +Efficient Knowledge Extraction: Facilitates quickly searching and unlocking valuable information hidden within complex data.
  • +Automates Tedious Tasks: Can automate "grunt work" and monotonous tasks by leveraging knowledge graphs.
  • +Prevents Hallucinations: Specifically designed to mitigate the issue of AI generating incorrect or invented information.
  • +Industry Applications: Applicable across various data-heavy industries like Healthcare, Finance, Legal, and Engineering.
  • +Proven Successes: Customer testimonials highlight tangible benefits like improved product recommendations, faster data processing, conversational analysis, strategic recommendations, and significant time reduction on tasks (e.g., 75% reduction in shareholder Q&A time).
  • +Leverages Graph Technology: Utilizes the power of knowledge graphs to improve the reliability of AI applications by understanding relationships in data.
  • +Provides Solutions for Specific Needs: Offers specific components like Text to Graph Pipeline and Ontology Enrichment.
What users flag
  • Implementation Time and Cost: Implementing an advanced GraphRAG platform and integrating it with existing data sources could be time-consuming and potentially costly (pricing details are not provided in this text).
  • Requires Expertise to Maximize Value: While accessible to business users, fully leveraging the platform's capabilities, particularly for advanced use cases or ontology design, might benefit from data or AI expertise.
  • Limited Scope: The focus appears heavily on RAG and knowledge extraction from complex documents, which might not cover all potential AI use cases a company might have.

Features

Key features

GraphRAG Technology
Lettria's core innovation that uses knowledge graphs in the Retrieval Augmented Generation (RAG) process.
Transparent, Verifiable AI
Enables tracing AI's assumptions and relationships back to their source for trustworthiness.
Knowledge Studio Platform
A business-friendly platform utilizing GraphRAG to process complex, unstructured data.
Improved GenAI Accuracy
Aims to significantly increase the accuracy of Generative AI outputs, specifically mentioning a 30% improvement potential.
Handles Complex, Unstructured Data
Capable of understanding and processing difficult and unorganized data formats.

Additional features

Transparent, verifiable AI
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.
Need to quickly search complex documents and data (Problem Addressed)
Identifies the challenge that Lettria's solution is designed to solve for businesses.
Lettria's GraphRAG technology
This is the fundamental technology developed by Lettria, combining knowledge graphs with Retrieval Augmented Generation (RAG).
Delivers trustworthy answers
A direct outcome of using Lettria's technology, emphasizing the reliability of the information provided by the AI.
Improve GenAI accuracy by 30% (Potential Outcome)
Highlights a significant potential improvement in the correctness of answers generated by AI when using Lettria's approach.
Knowledge Studio
a GraphRAG solution: Names the primary platform offered by Lettria and states that it is built upon their GraphRAG technology.
Can understand complex, unstructured data
Describes the platform's ability to process difficult-to-organize information, such as free text documents.
Business-friendly platform
Indicates that the platform is designed to be accessible and usable for business users, not just technical experts.
Correctly processes your documents and data
Assures that the platform accurately interprets the information contained within a company's data sources.
Quickly delivering verifiable answers
Combines speed with the ability to check the source of the AI's responses.
Put transparent, verifiable AI to work for you
Encourages potential users to implement this type of trustworthy AI in their operations.
Benchmark
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.
Applicable in Healthcare (Industry/Use Case)
Indicates that the platform is relevant and has applications within the healthcare sector.
Applicable in Finance (Industry/Use Case)
Indicates that the platform is relevant and has applications within the finance sector.
Applicable in Legal (Industry/Use Case)
Indicates that the platform is relevant and has applications within the legal sector.
Applicable in Engineering (Industry/Use Case)
Indicates that the platform is relevant and has applications within the engineering sector.
Saving time and resources (Benefit)
A general advantage of using the platform, stemming from increased efficiency.
Reduces margin for error (Benefit)
A positive outcome, particularly important in industries like healthcare, indicating increased accuracy and reliability.
Designed to guarantee that your institution's experience is augmented by technology (Specific to Healthcare)
Highlights how the technology is intended to enhance, rather than hinder, operations in healthcare settings, especially concerning sensitive data and critical decisions.
Unlock knowledge (Capability)
Describes the ability to make the valuable information hidden within complex data accessible and usable.
Use your complex, evolving, distributed data for AI use cases that increase growth (Capability/Benefit)
Explains how leveraging previously difficult-to-access data can lead to new AI applications that drive business expansion.
Verify answers (Capability)
The ability to check the source and reasoning behind the AI's responses.
Trace each assumption and relationship back to its source (How verification works)
Details the mechanism that allows users to see exactly where the AI got its information from.
Letting the machine continually confirm its credibility (How verification works)
Suggests an ongoing process where the AI validates its own outputs against the source data.
Build trust (Capability/Benefit)
A positive outcome where users gain confidence in the AI's reliability.
Impress your team with the quality of the responses (Benefit)
The high quality of answers leads to positive impressions among internal users.
Promoting daily use thanks to a transparent data model (Benefit)
The clarity and understandability of how the AI works encourages regular use by teams.
Automate grunt work (Capability/Benefit)
Enables the automation of tedious and monotonous tasks.
Turn tedious tasks into quick work thanks to knowledge graphs (How automation works)
Explains that the underlying knowledge graph structure facilitates the automation of routine tasks.
Save teammates months of monotony (Benefit)
A quantifiable benefit indicating a significant reduction in time spent on repetitive tasks.
Prevent hallucinations (Capability)
The ability to stop the AI from generating false or invented information.
GraphRAG platform masters both the big picture and the details (How hallucination prevention works)
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.
GraphRAG (Solution/Technology)
Listed as a specific solution offering, emphasizing the core technology.
Text to Graph Pipeline (Solution)
A specific component or service that transforms text-based data into a knowledge graph format.
Ontology Enrichment (Solution)
A service or capability that enhances or builds the structured framework (ontology) used in the knowledge graph.
Solutions Overview (Resource)
Provides a general summary of the different solutions offered by Lettria.
Industries & Use Cases (Resource)
Information detailing the sectors and specific applications where Lettria's technology can be used.
Verbatim Analysis Software (Solution/Use Case)
A specific application or tool for analyzing text word-for-word.
Speech Analysis Software (Solution/Use Case)
A specific application or tool for analyzing spoken language.
Private ChatGPT (Solution/Use Case)
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.
Blog (Resource)
Provides articles and updates from Lettria.
Lettria Lab (Resource)
Likely a section or resource related to research and development.
Benchmark Ontology Toolkit (Resource)
A resource related to evaluating or using tools for building ontologies.
Benchmark Sentiment Analysis (Resource)
A resource related to evaluating or using tools for analyzing sentiment in text.
Benchmark Text to Graph (Resource)
A resource related to evaluating or using tools for converting text into knowledge graphs.
Automated document parsing and data model enrichment (Highlighted in customer quote)
A specific process that is automated by Lettria's platform, highlighted as beneficial by a customer.
Parsing and processing online reviews (Highlighted in customer quote/Use Case)
A specific application where the platform is used to analyze customer feedback from online reviews.
Conversational analysis (Highlighted in customer quote/Use Case)
The ability to analyze the content and context of conversations.
Processing unstructured texts (Highlighted in customer quote/Use Case)
A core capability demonstrated in handling various text documents.
Generate strategic recommendations (Highlighted in customer quote/Use Case)
An outcome achieved by a customer using the platform to derive insights from processed data.
Create an AI copilot (Highlighted in customer quote/Use Case)
The platform can be used to build AI assistants that work alongside human users.
Reduced the time spent on shareholder Q&A by 75% (Quantified Benefit in customer quote)
A specific, measurable improvement achieved by a customer in handling questions from shareholders.
Digests unstructured patient reports (Highlighted in customer quote/Use Case)
A specific application in healthcare where the platform processes medical documents.
Learning to read and understand technical terminology and medical reports (Highlighted in customer quote/Specific Capability)
Demonstrates the platform's ability to process specialized language within specific domains like medicine.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
6
Interface languages
15
Billing currencies

Interface languages

EnglishFrenchSpanishGermanItalianPortuguese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇳🇴NOK🇩🇰DKK🇰🇷KRW🇮🇳INR🇷🇺RUB🇧🇷BRL

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