Language Processing
Transform your textual data into insights with our NLP solutions to analyze, understand and generate human language.
Why use NLP?
Contextual Understanding
Analyze the deep meaning and context of texts, beyond simple keywords
Massive Processing
Analyze millions of documents in hours instead of months
High Precision
Extraction and classification with over 95% accuracy on structured texts
Multilingual
Support for 50+ languages with translation and cross-lingual semantic analysis
Automated Insights
Discover hidden trends and patterns in your textual data
GDPR Compliance
Automatic anonymization and detection of sensitive information in texts
NLP Processing Pipeline
Collection & Preprocessing
Text extraction from your sources, cleaning, tokenization and normalization of textual data.
Linguistic Analysis
Syntactic analysis, lemmatization, POS tagging and creation of semantic embeddings to capture meaning.
Modeling & Processing
Application of specialized NLP models: transformers for understanding, classifiers for categorization.
Structuring & Exploitation
Results extraction, insights structuring and integration into your workflows and business tools.
Our language processing services
Sentiment Analysis
Automatic detection of emotions, opinions and positive/negative polarities in reviews, feedback and comments
Entity Extraction (NER)
Identification and extraction of names, places, dates, amounts, organizations and custom entities
Document Classification
Automatic categorization of texts, emails, support tickets according to your business taxonomies
Automatic Summarization
Generation of concise summaries of long documents, reports or articles while preserving the essentials
Translation & Localization
Contextual multilingual translation with cultural adaptation and business terminology
Topic Modeling
Automatic discovery of main themes in large document corpora
Question Answering
Automatic response systems based on deep understanding of your documents
Text Generation
Automatic production of personalized content: product descriptions, emails, reports
Frameworks & Models
Frequently asked questions
What's the difference between NLP and LLM?
NLP (Natural Language Processing) is the overall field of automatic language processing. LLMs (Large Language Models like GPT) are a modern NLP approach based on massive neural networks. We use both: LLMs for complex generation and understanding, and classical NLP for structured extraction and classification.
Can you process texts in specific languages or business jargon?
Yes, we adapt models to your specific business vocabulary. For rare languages or technical jargon, we train custom models on your documents to ensure precision and relevance.
How do you handle sensitive data in texts?
We apply anonymization techniques and automatic detection of personal information (PII): names, addresses, phone numbers, emails, etc. Data can be processed locally in your infrastructure to ensure complete confidentiality.
What volume of texts can you process?
Our solutions scale easily: from a few hundred documents to several million. For example, we can analyze 100,000 customer reviews in sentiment analysis in under 30 minutes, or extract entities from 1 million documents in a few hours.
Leverage the richness of your texts
Let's discover together how NLP can transform your textual information management.