Lettria
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Increase your RAG accuracy by 30% by joining Lettria's Pilot Program. Request your demo here.AI that understands your document and delivers verified knowledgeExtract reliable insights from complex, high-risk documents with full traceability.5 starsGet a demoSee the productTrusted by leading teams processing thousands of documents every month.Read storyRead storyRead storyRead storyHelping analysts cracking big issues in every industryHealthcareFinanceLegalEngineering60% faster evidence-based research for medical teams, with full traceability.Lettria helps medical and scientific teams query clinical trials, publications, and internal documents with answers grounded in explicit sources, evidence, and context, ready for review and validation."Lettria lets us maintain consistent terminology across documents, making AI outputs reliable and compliant."Regulatory Affairs Lead, Pharmaceutical GroupSee HealthcareSee case studyFinancial teams analyze complex financial disclosures in minutes.Lettria provides reliable financial insights, grounded in explicit sources and context."Lettria helps us extract and organize complex financial data, so our AI systems provide answers that are traceable and auditable."Head of IA, International BankSee FinanceSee case studyLegal teams review regulations with 40% fewer document cross-checks.Lettria helps legal teams query regulations with answers grounded in source documents."With Lettria, reviewing contracts and legal documents becomes faster, while keeping control over definitions and interpretation"Legal Operations Manager, Law firmSee LegalSee case studyEngineers resolve issues 3× faster with verified document intelligence.Lettria delivers verifiable, step-by-step insights from complex technical documents."Our partnership with Lettria has enabled our teams to integrate AI into their workflows. Their collaborative approach and understanding of our challenges has resulted in the implementation of a solution that supports our experts on a daily basis in the analysis of complex technical documents’"Lettria helps us extract and organize complex financial data, so our AI systems provide answers that are traceable and auditable."Jesse Berger, IS ManagerSee EngineeringSee case studyFrom complex documents to actionable insightsLettria’s four core modules work together to extract structure, build knowledge, and deliver fully traceable outputs, grounded in your own data.Document ParsingExtracts tables, diagrams, reading order, and multi-column layouts from the most complex PDFs. View Document ParsingOntology BuildingAutomatically generates clean, domain-specific ontologies from your documents, no manual mapping required. See Ontology BuildingText to GraphConverts any text into a rich knowledge graph with entities, relations, and constraints. Explore Text to GraphGraphRAGCombines graph retrieval with reasoning for transparent, interpretable outputs without hallucinations.Learn about GraphRAGTrusted by leading teamsHow leading teams boost accuracy, automation, and scalability with Lettria.10,000+new classes addedAutomated ontology enrichment at scale.“Lettria accelerated our enrichment process and improved recommendation accuracy."See case studySee case study350,000+articles processedScalable extraction for biomedical research.“Lettria significantly improved the accuracy and scalability of our biomedical knowledge extraction.”See case study+20%better accuracyFaster, more accurate outcomes using GraphRAG.“Lettria helped our experts avoid repetitive document analysis and deliver faster, more accurate results.”Meet Lettria Perseus, our new model.Lettria Perseus, where precision meets speed: 30% more accurate than any other LLMs on graph generation, schema-valid graphs under 20 ms. Build trustworthy graph-AI at enterprise scale.Learn moreWork with our experts to build your knowledge layer.Lettria combines expert support and proven methods to accelerate results, reduce risk and unlock analyst-level intelligence.Week 1-4Connect Your Data→ Defining project needs, stakeholders, and success metrics→ Collecting your relevant documents and sources→ Parsing unstructured data and structuring it→ Designing your first ontology and knowledge graph with our experts.Weeks 5-8Activate Insights→ Prototype development and testing→ Feedback loops using evaluation matrix→ Continuing enriching ontology, improving relationships in the graphWeeks 9-12Monitor & Improve→ Final iteration completed, preparing the system for deployment→ Integration into your information systems, production of API docs→ Final result: a verifiable, trustworthy AIDeep expertise, distilled into actionable insights.Structuring Enterprise Knowledge: Lettria Unveils Two AI Modules for Document IntelligenceLearn moreLettria Secures €4M to Build the Next Generation of AI for Document IntelligenceLearn moreOntology vs Taxonomy: What’s the DifferenceLearn moreData Ontology: Structuring Information for Enhanced InteroperabilityLearn moreBuild trustworthy, domain-grounded intelligenceImprove RAG accuracy by 30% and let your documents deliver precise, explainable results.Get a demo --- Increase your RAG accuracy by 30% with LettriaGet a demo tailored to your use caseSee it on your data, with clear next stepsGet onboarding help from our team+20%better accuracy‘Our partnership with Lettria has enabled our teams to integrate AI into their workflows. Their collaborative approach and understanding of our challenges has resulted in the implementation of a solution that supports our experts on a daily basis in the analysis of complex technical docume'Head of Information Systems – Industrial GroupJoin leading businesses and public organizations trusting Lettria.First Name*Last Name*Email*Phone NumberNext step: choose a time slotBy submitting this form, you consent to receive marketing emails from us. You can unsubscribe at any time. One last step: choose your time slot to confirm your demo Oops! An error occurred while submitting the form. --- Increase your RAG accuracy by 30% by joining Lettria's Pilot Program. Request your demo here.Lettria Knowledge Studio80% of your knowledge is still waiting for you80% of the knowledge in your organisation is unstructured — and hence, under-utilized. Think of all the informed decisions you could be making if you could leverage this sea of unstructured information. That's where Lettria Knowledge Studio comes in.Request Demo ->Discover how Leroy Merlin supercharged their product catalog with LettriaHow Leroy Merlin improved customer experience by enriching their product catalog with LettriaRead the case study ->Helping you make the most of your knowledgeLettria Knowledge Studio was built keeping three things in mind:TransparentChatGPT doesn't tell you where it gets your answers from, leading to inaccuracies and hallucinations. With Lettria, you can trace back exactly where something came from.CustomisableLettria's knowledge management tools are compatible with all your existing tools, either through connectors or easy API access. You won't have to change your workflow at all.SecureWith Lettria, you can deploy our solutions on your own private cloud, giving you full transparency and security about where your data is stored. There's never any guessing.RAG and Knowledge GraphDiscover GraphRAGWe're building the next generation of retrieval augmented generation, merging graph with vector to create something better than both. The goal is to help enterprises adopt RAG tech without the issue of hallucinating chatbot and lack of trust.Learn more about Lettria GraphRAG->Text to Graph PipelineLeverage the 80% of your data that's currently hiddenAll of your emails, presentations, meeting notes, knowledge bases and raw text information in your company is just valuable information waiting to be discovered. With Lettria's Text to Graph Pipeline, can you import all of this information in your existing graph databases to record and leverage, no matter the provider.Learn more about Lettria Text to Graph Pipeline->Private GPT Chatbot BuilderBuild your own chatbotUsing ChatGPT for your business comes with a myriad of risks and compromises in privacy, security, data quality and customisability. It's great for personal use, but terrible for enterprise use. With Lettria, build your own private GPT-based chatbot using RAG (Retrieval Augmented Generation) technology, and deploy it on your own private cloud. Put knowledge retrieval on autopilot.Learn more about Lettria Private GPT->Text Cleaning APIText Mining APIText Classification APIConnect with all your sourcesChoose from an expansive collection of data connectors or simply import your own files in various formats.To ensure privacy, your data is safeguarded in a secure environment only you have access to. This data can be conveniently reused across all of your current and future word processing projects.1Create and manage your datasetsThe dataset manager gives you the power to oversee your sources to effortlessly collaborate between teams as well as repurpose the sources for additional NLP projects across your organization. Datasets are transformed into data assets.2Run a magic wand through your textManually cleaning up data can be a pain, but our pain is your gain. We have worked hard to automatic this tedious task and make it available to all our users.Lettria now offers a precise cleaning formula that can be applied to each data type which makes it easy to manage cluttered data, such as speech-to-text transcripts.3Do this again and again, at scaleThe majority of NLP projects fail before they even get started. Pick a tool that allows you to focus on the meaning of your text, not on collecting and cleaning the data.4High-Performance Sentiment AnalysisLeverage Lettria's Deep Learning-powered Sentiment Analysis, that is 30% more accurate* than a comparable open source model.Our advanced solution deciphers and quantifies sentiment from -1 to 1 and detects different sentiments in different parts of the same sentence, allowing you to propel informed decisions, optimize brand reputation, and enhance customer experience with actionable insights.1Accurate Emotion DetectionEmpower your business with Lettria's deep learning-powered Emotion Analysis, capable of detecting up to 28 distinct emotions in text. A game-changer for elevating customer satisfaction, gauging public sentiment, and enriching user experiences.2Entity Detection and MoreLettria's Entity Recognition capabilities go way beyond standard open-source NER tools. In the same text, you can recognize regular entities, numeric entities, as well as meanings.Identify a cappuccino as a "hot beverage" or a MacBook as an "electronic device", while extracting email IDs, phone numbers and scientific measurements from your text. The possibilities are endless.3Our Suite of Superior NLP ModulesUnlock the potential of Natural Language Processing with Lettria's suite of high-performing NLP modules, designed to deliver comprehensive linguistic analysis, these tools can transform your text data into meaningful insights.4Tell us more about what you want to doYou can choose between binary and multi label classification, regression or word tagging.1Upload your raw data and unlock smart labellingYou’re not alone : invite teammates or clients!Collaborate with peer-to-peer reviewing.Accelerate with Active Learning (30% less annotation on average). Don’t have any labelled data? That’s ok, some of our models work without.2We handle the model trainingOur system trains several models in parallel, depending on your needs and data, and selects the most efficient one.3Deploy in a matter of clicksExport your own custom model, or wait for us to send you an API token. No devops, no hassle.4Knowledge Studio Use CasesCRM EnrichmentExplore how the Text Classification API can make CRM Enrichment tools more accurate.Learn more ->Speech AnalysisSee how Lettria's Text Mining API can be used to supercharge verbatim analysis tools.Learn more ->Quality MonitoringSee how Lettria's Text Classification API can help make quality monitoring tools more robust.Learn more ->Get started with GraphRAG in 2 minutes.Talk to an expert --- Ontology Generation & EnrichmentAlign data on one shared languageTurn unstructured documents into machine-readable knowledge. Build, scale, and update business-critical ontologies without the manual engineering overhead. Get a demoSee the productOntology enrichment, built for scalable knowledge modelsDesign clean, domain-specific ontologiesStructure concepts, entities, and relationships aligned with your business reality.Enrich automatically from your documentsDetect new concepts, suggest relations, and keep ontologies up to date at scale.Power trustworthy AI outputsUse enriched ontologies as a foundation for GraphRAG, search, and analytics, with explainability.Trusted by leading teams managing large-scale document knowledge.Read storyRead storyRead storyRead storyDownload our ready-to-use ontologiesInsuranceAccess the insurance contracts ontology, a structured, machine-readable model of home and vehicle insurance policies.Download the full ontologyDrug ApprovalAccess the Drug Approval ttl file, a ready-to-use ontology mapping US and European requirements for new drug applications.Download the full ontologyCSRDAccess the CSRD Ontology ttl file, structuring corporate sustainability reports for AI-driven analysis, compliance, and governance insights.Download the full ontologyAI RegulationsAccess the AI Regulation Act Ontology, a structured, machine-readable model mapping the information from EU Artificial Intelligence Act (2024/1689)Download the full ontologyStructure and control how your systems reasonModel how concepts connect, interact, and depend on each otherTurn unstructured data into machine-readable, interpretable knowledgeGive agents the ability to reason, explain decisions, and act reliablyUnify data across systems and teamsAlign heterogeneous data sources on a shared semantic modelMaintain consistent definitions across tools, teams, and workflowsSupport interoperable data for more reliable decisions and downstream usagePower automation and AI with ontologiesProvide a structured foundation for AI and automated systemsLet algorithms reason over explicit concepts and relationshipsDrive more reliable automation and operational efficiencyBuild your ontology from your data Automatically extract concepts and relationships from unstructured sourcesSupport common formats such as CSV, TXT, and PDFPreserve ontology quality by filtering noise and prioritizing relevant additionsHow it works?Here's what we offer in four steps:1. IngestUpload PDFs, reports, or spreadsheets. Our document parsing system handles complex formats to deliver clean, structured data.2. DefineDefine your objective through natural language via a simple use case (e.g., "Analyze clinical trial risks" or "Map CSRD sustainability metrics").3. GenerateReceive a complete, validated ontology in W3C-standard formats tailored to your specific use case, ready for deployment.4. ApplyApply the enriched ontology to your projects, gaining deeper insights and improving data understanding.Talk to an expertTrusted by teams like Leroy Merlin to build clean ontologies at scale.10,000+new classes addedAutomated ontology enrichment at scale.“Lettria accelerated our enrichment process and improved recommendation accuracy.”Read the case study Frequently Asked QuestionsHow can I get started with Lettria Knowledge Studio?Currently, Lettria operates on a demo-based access model. To explore the platform's capabilities and see how it can benefit your organization, you can request a personalized demo through the website.Is technical expertise required to use Lettria?No, Lettria is designed as a no-code solution, making it accessible to users without technical backgrounds. The intuitive interface allows users to build and enrich ontologies without the need for programming skills.How does Lettria enhance AI and automation?By organizing data into structured ontologies, Lettria enables AI systems to reason more effectively and automate tasks. This structured approach leads to smoother operations and increased efficiency across various applications.What types of data can be processed?Lettria supports a variety of unstructured data formats, including:Text documents: .txt, .docx, .odt, .htmlSpreadsheets: .csv, .xls, .xlsxPDF files: .pdfThis versatility ensures that diverse data sources can be effectively transformed into structured knowledge.Can I use my existing ontologies with Lettria?Yes, Lettria allows you to import your existing ontologies in standard formats like RDF or OWL. The platform supports editing and navigating between concepts, labels, and relationships, facilitating seamless integration and enrichment.How does the ontology enrichment process work?The process involves four key steps:Upload Data: Import your datasets, such as CSV, TXT, or PDF files.Kickstart Ontology & Analyze: Introduce key concepts relevant to your organization and identify areas for enrichment.Enrich: Review and approve suggested enhancements or customize them to suit your needs.Apply: Implement the enriched ontology in your projects to gain deeper insights and improve data comprehension.Find out more on this article Introducing the Ontology Toolkit.What is Lettria Knowledge Studio?Lettria Knowledge Studio is a no-code platform designed to help organizations build and enrich ontologies from unstructured data sources. It facilitates the transformation of raw text into structured knowledge, enabling better data understanding and management.Talk to an expertRead more about LettriaRead all blog articles ->From Unstructured Customer Data to Actionable Intelligence: How NLP Powers Modern EngagementIs your organization truly listening? Discover how leading enterprises use Natural Language Processing to bridge the gap between raw customer data and personalized lifecycle marketing.Read more ->Intelligent Document Processing Use CasesDiscover 25 intelligent document processing use cases with detailed explanations across healthcare, finance, and legal sectors to automate data extraction.Read more ->Build vs. Buy: Choosing the Right Document Intelligence tool for Regulated IndustriesCompare general cloud tools vs Lettria for document intelligence. See why regulated industries use specialized IDP and GraphRAG for accuracy and speed.Read more ->Build clean, reliable ontologies from your dataUsed by teams to structure complex data and power GraphRAG, search, and analytics.Get a demo