Lengoo

paid

Lengoo delivered enterprise-grade custom generative AI with sovereign fine-tuned LLMs for translation (50+ languages), knowledge discovery via RAG, and on-brand content creation.

Document Tools

AI Writing Assistants

Fine-Tuning Tools

About

Lengoo provided enterprise-grade custom generative AI solutions built around sovereign, fine-tuned language models tailored to each organization's unique data, terminology, and style. Rather than relying on generic large foundation models, Lengoo fine-tuned smaller open-source baseline models with proprietary enterprise data, delivering up to 2x better accuracy at roughly 1% of the cost of GPT-4-scale models. The platform offered three core capabilities: Translation in 50+ languages that reflected an organization's specific terminology and style, accelerating professional translation workflows for internal and external audiences; Knowledge Discovery powered by state-of-the-art Retrieval Augmented Generation (RAG) to make vast document repositories and databases instantly queryable; and Content Creation tools for generating on-brand content such as product descriptions, blog posts, email responses, and reports. Lengoo was designed for enterprises without in-house AI/data science capacity, providing an accessible end-to-end platform from data strategy and model customization to scalable deployment and operation. Security and compliance were central: the platform operated customer-owned, sovereign LLMs to address IP protection, GDPR, and confidentiality requirements, and was certified to ISO 27001, 9001, 17001, and 18587 standards. Note: Lengoo has since permanently closed operations.

Key Features

Custom Sovereign Language Models: Fine-tune smaller open-source baseline models on proprietary enterprise data to outperform large generic LLMs at a fraction of the cost and energy footprint.
Enterprise-Grade Translation: Instant, style- and terminology-aware translations in 50+ languages that reflect the organization's voice and accelerate professional linguist workflows.
Retrieval Augmented Generation (RAG): State-of-the-art RAG makes the information locked in document repositories and databases easily queryable across diverse enterprise use cases.
AI Content Creation: Generate on-brand content — from product descriptions and blog posts to email responses and reports — using models trained on proprietary organizational data.
Security & Compliance: Sovereign LLM operation with closed feedback loops ensures GDPR compliance, IP protection, and confidentiality. Certified to ISO 27001, 9001, 17001, and 18587.

Use Cases

Accelerating professional translation workflows by providing expert linguists with high-quality draft translations in the organization's own terminology across 50+ languages.
Enabling employees to query large internal document repositories and databases using natural language through RAG-powered knowledge discovery.
Generating on-brand marketing and product content — such as product descriptions, blog posts, and email responses — at scale using custom language models.
Replacing costly generic LLM API usage with fine-tuned sovereign models that run at a fraction of the cost while delivering higher domain-specific accuracy.
Meeting strict enterprise compliance requirements (GDPR, IP protection, antitrust) by keeping all language model operations within a sovereign, private infrastructure.

Pros

Superior Accuracy at Lower Cost: Fine-tuned specialist models deliver up to 2x better accuracy than generic LLMs while operating at ~1% the cost of GPT-4, offering strong ROI for enterprises.
Built-In Data Sovereignty: Running custom LLMs on-premise or in a private cloud inherently solves IP protection, GDPR, and antitrust concerns without additional configuration.
End-to-End Platform: Covers the full AI journey from data strategy and model customization to deployment and operations, making advanced AI accessible to non-data-science teams.
Multilingual at Scale: Supports 50+ languages with organization-specific terminology, breaking down internal language barriers and enabling global communication.

Cons

Service Discontinued: Lengoo has permanently closed, meaning the platform is no longer available to new or existing customers.
Enterprise-Only Scope: The platform was designed exclusively for large enterprises with substantial proprietary data, making it unsuitable for small businesses or individuals.
Implementation Complexity: Building and deploying custom LLMs still requires significant data preparation, onboarding support, and organizational change management.

Frequently Asked Questions

Lengoo fine-tuned smaller, open-source baseline models on each enterprise's proprietary data, delivering up to 2x greater accuracy in context-specific tasks at roughly 1% of GPT-4's operational cost — with full data sovereignty.

Lengoo's translation models supported 50+ languages and were trained to reflect each organization's specific terminology and style, not just generic translations.

By operating sovereign, customer-owned language models within closed expert feedback loops, Lengoo addressed GDPR, IP protection, and confidentiality by design. The company held ISO 27001, 9001, 17001, and 18587 certifications.

Retrieval Augmented Generation (RAG) combines a retrieval system with a generative model so it can pull relevant context from document repositories before generating a response. Lengoo used state-of-the-art RAG so enterprise users could query large internal knowledge bases conversationally.

No. Lengoo has permanently closed and is no longer accepting new customers or providing services to existing clients.