Transform your textual data into insights with our NLP solutions to analyze, understand and generate human language.
Analyze the deep meaning and context of texts, beyond simple keywords
Analyze millions of documents in hours instead of months
Extraction and classification with over 95% accuracy on structured texts
Support for 50+ languages with translation and cross-lingual semantic analysis
Discover hidden trends and patterns in your textual data
Automatic anonymization and detection of sensitive information in texts
Text extraction from your sources, cleaning, tokenization and normalization of textual data.
Syntactic analysis, lemmatization, POS tagging and creation of semantic embeddings to capture meaning.
Application of specialized NLP models: transformers for understanding, classifiers for categorization.
Results extraction, insights structuring and integration into your workflows and business tools.
Automatic detection of emotions, opinions and positive/negative polarities in reviews, feedback and comments
Identification and extraction of names, places, dates, amounts, organizations and custom entities
Automatic categorization of texts, emails, support tickets according to your business taxonomies
Generation of concise summaries of long documents, reports or articles while preserving the essentials
Contextual multilingual translation with cultural adaptation and business terminology
Automatic discovery of main themes in large document corpora
Automatic response systems based on deep understanding of your documents
Automatic production of personalized content: product descriptions, emails, reports
NLP (Natural Language Processing) enables machines to understand, analyze, and generate human text. It's the technology behind chatbots, sentiment analysis, document classification, and much more.
Natural language processing combines computational linguistics and artificial intelligence to give machines the ability to understand human text. Modern NLP models, based on the Transformer architecture, analyze the context of each word in a sentence to extract meaning. They don't just recognize keywords — they understand relationships between words, negations, irony, and cultural nuances. This deep understanding powers applications like sentiment analysis (is this customer satisfied?), entity extraction (what names, dates, and amounts appear in this contract?), and automatic document classification.
NLP transforms entire business processes. In customer service, it automatically analyzes the tone and urgency of incoming messages to prioritize responses. In legal, it extracts key clauses from hundreds of contracts in minutes. In HR, it analyzes CVs to pre-screen relevant candidates. In marketing, it monitors your brand reputation across social media and news outlets. In finance, it processes reports and regulatory filings. Each application relies on NLP's ability to process massive text volumes with accuracy exceeding 95%.
NLP is the scientific field that studies automatic language processing. LLMs (Large Language Models like GPT, Claude, Llama) are a category of particularly powerful NLP models. All LLMs perform NLP, but not all NLP uses LLMs. For certain tasks (simple classification, structured entity extraction), lighter, specialized NLP models are more efficient, faster, and less expensive than a generalist LLM. We choose the right technology for each use case.
Processing different languages poses unique challenges: grammatical gender, complex conjugations, multiple negations, slang. Our NLP models are optimized for a wide range of languages and their regional variants. We also support multilingual analysis for international businesses — a single system can process documents in English, French, German, Spanish, Arabic, and over 50 other languages with native-level quality.
Discover key concepts related to this solution
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.
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.
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.
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.
Sentiment analysis uses models trained on millions of annotated texts to detect the emotional tone of a message: positive, negative, neutral, or finer-grained emotions (frustration, satisfaction, urgency). Accuracy reaches 90-95% on standard cases. We can fine-tune the model on your industry vocabulary to further improve precision.
That is precisely NLP's strength. Our solution automatically extracts structured data (names, dates, amounts, clauses, entities) from unstructured documents (emails, contracts, PDF reports, articles). The extracted data feeds directly into your databases or business tools.
Yes. Our NLP pipelines process text in milliseconds for simple tasks (classification, sentiment analysis) and in a few seconds for complex tasks (document summarization, multi-entity extraction). The architecture is designed to handle thousands of simultaneous requests.
Absolutely. Every industry has its jargon: legal, medical, financial, technical terms. We fine-tune NLP models on your specific vocabulary to ensure precise understanding. A medical NLP model will understand that 'cephalgia' is a headache — something a generalist model might miss.
Cost varies by complexity: a simple document classification system costs less than a multi-entity extraction system with fine-tuning. We offer pilot phases to validate ROI before any commitment. The cost of a specialized NLP model is often 10 to 100 times lower than the equivalent manual processing.
Let's discover together how NLP can transform your textual information management.