Lettria

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Lettria converts unstructured documents into reliable information using advanced NLP and symbolic AI.

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What is Lettria?

Lettria is an advanced NLP platform designed for software builders and knowledge workers. It combines the best of Large Language Models (LLMs) and symbolic AI to overcome limitations in knowledge extraction. Lettria allows users to turn any unstructured document into reliable information by understanding complex connections between entities from unstructured textual data. The platform addresses critical challenges of NLP by focusing on sustainability, resource optimization, explainability of results, data privacy, and transparency.

Lettria's NLP platform is built on three core pillars:

Creation of smaller, task-specific models utilizing graph-based techniques.
Accessibility of high-powered text processing and analysis capabilities through a no-code platform.
Leveraging advanced NLP and cloud computing power for fast, accurate, high-volume text analysis to enable scalability and customization.

The platform aims to overcome LLM limitations and narrow the gap between organizations by actively working on initiatives that reduce the workload involved in NLP projects while increasing success rates. Lettria leverages a vast database of over 800,000 words, an extensive ontology, disambiguation capabilities, proprietary models, and vital user research to support its NLP projects.

Lettria is committed to making powerful technologies like language models and NLP accessible to everyone while fostering collaboration and innovation in the field. The founders of Lettria, Charles Borderie, Marian Szczesniak, and Victor de La Salmonière, have a strong background in entrepreneurship, AI development, and technology.

The platform is trusted by users looking to maintain control over their data and outperform other NLP solutions with a suite of APIs. Lettria aims to build a new NLP paradigm by harnessing linguistic databases, LLMs, and open-source technologies to transform the processing of text across industries.

Who created Lettria?

Lettria was founded by three individuals who were motivated by the potential of artificial intelligence to revolutionize businesses. The founders are Charles Borderie, a serial entrepreneur with a consulting background in Europe and the Americas, Marian Szczesniak, an AI expert and developer specializing in NLP applications, and Victor de La Salmonière, an engineer passionate about DevOps, data science, and development. The company focuses on leveraging natural language processing technologies to help organizations extract actionable insights from their data and make powerful technologies like language models and NLP accessible to a wide range of users.

What is Lettria used for?

Text Cleaning
Text Mining
Text Classification
Prompt Engineering
Ontology Enrichment
Text to Graph
Private GPT
GraphRAG

Who is Lettria for?

Software Builders
Knowledge workers

How to use Lettria?

To use Lettria effectively, follow these steps:

Access the Platform: Visit Lettria's platform and explore the features designed for text cleaning, mining, classification, and prompt engineering.
Getting Started: Begin by turning chaotic unstructured documents into valuable information using Lettria Knowledge Studio. Understand relationships between entities from textual data through intelligent modeling.
Empowering NLP Projects: Lettria focuses on task-specific models and graph-based techniques for efficient results. The platform offers high-powered text processing and analysis capabilities accessible to users with varying technical backgrounds.
Overcoming LLM Limitations: Lettria addresses challenges posed by Large Language Models (LLMs) by working on initiatives to reduce NLP project workload, enhance success rates, and visualize data through a knowledge-graph-based approach.
Experience and Expertise: Lettria leverages extensive linguistic database, ontology, proprietary models, disambiguation capabilities, and user research for innovative NLP solutions.
Collaboration and Innovation: Lettria emphasizes collaboration by uniting business experts, real use cases, and advanced technology in a seamless, no-code platform to facilitate NLP industrialization.
Expert Team and Advisors: Lettria benefits from experienced advisors in the AI/NLP field to guide its innovative strategies and developments.

By following these steps, you can leverage Lettria's features and capabilities to enhance your NLP projects effectively and efficiently.

Pros

Maintain complete control over your data with a cloud-agnostic platform
Deploy on any private or public cloud
Address privacy concerns with ease
Trusted by industry-leading cloud providers such as OVH and AWS
Focus on creating task-specific models for superior results
No-code platform for accessible text processing and analysis capabilities
Leverages advanced NLP and cloud computing power for fast and accurate text analysis
Empowering NLP projects with LLMs and seamless integration
Working on initiatives to reduce workload involved in NLP projects using LLMs
Knowledge-graph based approach to help users visualize data and make inferences
Dedicated to developing hybrid models combining cutting-edge AI with linguistic approaches
Extensive database of over 800,000 words to support language models
Won awards for technological solutions like Voice2CRM
Strategic partnerships with major tech players and rising talents for future tools creation
Expert team of advisors with experience in AI/NLP space

Cons

LLMs limitations in explainability, input, and knowledge
Poor user experience in conversational AI
Complexity leading to silos between technical and non-technical teams
Sustainability and resource optimization challenges in NLP
Issues with consistency of results
Data privacy and transparency concerns
Scalability and cost-effectiveness challenges in true industrialization of NLP
Missing features compared to other AI tools in the industry

Pros

Cons

Maintain complete control over your data with a cloud-agnostic platform
Deploy on any private or public cloud
Address privacy concerns with ease
Trusted by industry-leading cloud providers such as OVH and AWS
Focus on creating task-specific models for superior results
No-code platform for accessible text processing and analysis capabilities
Leverages advanced NLP and cloud computing power for fast and accurate text analysis
Empowering NLP projects with LLMs and seamless integration
Working on initiatives to reduce workload involved in NLP projects using LLMs
Knowledge-graph based approach to help users visualize data and make inferences
Dedicated to developing hybrid models combining cutting-edge AI with linguistic approaches
Extensive database of over 800,000 words to support language models
Won awards for technological solutions like Voice2CRM
Strategic partnerships with major tech players and rising talents for future tools creation
Expert team of advisors with experience in AI/NLP space

LLMs limitations in explainability, input, and knowledge
Poor user experience in conversational AI
Complexity leading to silos between technical and non-technical teams
Sustainability and resource optimization challenges in NLP
Issues with consistency of results
Data privacy and transparency concerns
Scalability and cost-effectiveness challenges in true industrialization of NLP
Missing features compared to other AI tools in the industry

Lettria FAQs

What are the main features of Lettria?: Lettria combines the best of LLMs and symbolic AI to overcome current GenAI limitations in knowledge extraction. It allows for ontology enrichment, text to graph conversion, and private GPT usage. Additionally, Lettria is cloud-agnostic, ensuring complete data control and privacy.

How does Lettria address data privacy concerns?: Lettria allows users to maintain complete control over their data by offering a cloud-agnostic platform. Users can deploy Lettria on any private or public cloud, ensuring that none of their data is used to train models other than their own.

What are the challenges in NLP that Lettria aims to overcome?: Lettria aims to address challenges in NLP such as sustainability, resource optimization, explainability of results, data privacy and transparency, and consistency of results. It also focuses on scalability and cost-effectiveness, as well as bridging the gap between technical and non-technical teams.

What are the core pillars of Lettria's NLP platform?: The core pillars of Lettria's NLP platform include creating task-specific models, utilizing graph-based techniques for superior results, offering a no-code platform for accessibility, and leveraging advanced NLP and cloud computing power for fast, accurate text analysis.

How does Lettria aim to overcome limitations posed by LLMs?: Lettria is actively working on initiatives to reduce the workload in NLP projects, increase success rates, and enhance the user experience. They are exploring a knowledge-graph based approach to help users visualize data and draw inferences.