Custom NLP solutions and services, built around the language your business runs on.

Natural Language Processing (NLP) is AI technology enabling computers to understand, interpret, and generate human language. NLP systems use machine learning to analyze text structure, extract meaning, identify sentiment, and generate responses. Applications include chatbots, document analysis, translation, and content generation.

Key NLP applications include intelligent chatbots automating customer service, sentiment analysis tracking brand perception, document processing extracting data from contracts/invoices, email categorization, content generation, and voice assistants. We start with the workflow with the clearest return and measure it on your own messages before widening the scope.

It depends on the task and on your text. Routing or classifying clear, well-defined messages can be very accurate; sarcasm, nuanced sentiment and heavy domain jargon are harder. Public benchmark scores rarely transfer to your documents, so we measure accuracy on a labelled sample of your own text before go-live, fine-tune on your domain language where it helps, and send low-confidence cases to a person.

Yes. Multilingual transformer models handle English, Portuguese, Spanish, German, French, Dutch and many other languages in the same pipeline, and language-specific fine-tuning closes the gap where one language underperforms. Quality still varies by language and domain, so we measure accuracy per language on your own data before automating customer service or document processing in it.

A first production NLP workflow — a classifier, a chatbot, basic text analysis — typically takes 2 to 4 weeks; complex document processing or custom-trained language models take longer. Factors include data availability, integration complexity, and customization requirements. Our proven NLP methodologies accelerate development while ensuring production-ready accuracy.

NLP is the broader field of language AI, while Large Language Models (LLMs like GPT, Claude) are specific advanced architectures within NLP. LLMs excel at generation and complex reasoning but require more resources. Our NLP solutions select optimal approaches—from efficient traditional models to the largest LLMs—based on your specific requirements and constraints.

NLP solutions and services are custom natural language processing systems that read, classify, translate, transcribe and generate human language — built around your data and wired into your systems. Unlike a generic text API, they handle your domain vocabulary, your languages, and the documents and messages your business actually deals with.

The common wins: classify and route inbound email and tickets, score sentiment across reviews and chats, extract structured fields from contracts and invoices, transcribe and summarise calls, translate at scale, and answer questions over your own documents. We start with the one workflow with the clearest return and prove it before widening scope.

Both classical NLP and transformer models (GPT, BERT and similar), across languages — including Portuguese and other multilingual setups. The model choice follows the task: the cheaper, more predictable option where it's enough, the larger model only where the language genuinely needs it.

Two to four weeks for a first production NLP workflow at a fixed price, proven against your real text before it runs unattended. No per-seat platform fee — you own the system and your only running cost is the model tokens, because we build against your stack rather than a closed product.