NLP Development Company

An NLP development company designs, builds, and maintains software that understands and generates human language. The work usually includes text classification, entity extraction, document processing, semantic search, chatbots, and speech analytics, along with the data preparation, model evaluation, and deployment needed to keep these systems accurate in production.

Off-the-shelf NLP APIs work well for generic tasks but often struggle with industry vocabulary, internal document formats, and strict data rules. A custom NLP development company trains or fine-tunes models on your data, integrates them with your systems, and gives you control over accuracy, hosting, and running costs.

Cost depends on the use case, data volume and quality, number of languages, integration work, and whether you need a pretrained model, fine-tuning, or a model built from scratch. As a guide, a focused NLP solution such as a text classifier or basic chatbot may cost between $10,000 and $30,000, while advanced deep learning or LLM-based systems can range from $50,000 to $75,000 or more. We share a detailed estimate after a short discovery call.

A focused proof of concept usually takes 4 to 6 weeks. Production systems with custom training, integrations, and testing typically take 3 to 6 months, depending on data readiness and scope.

It depends on the task. Pretrained transformer models and LLMs can produce useful results with a few hundred to a few thousand labeled examples, and sometimes fewer with careful prompting. Highly specialized domains need more data. We assess your data during discovery and can handle annotation when labeled data is limited.

Not every task needs an LLM. Smaller models such as BERT are faster and cheaper for high-volume classification and extraction, while LLMs suit summarization, open-ended questions, and complex reasoning. Many solutions we deliver use both, routing each task to the most cost-effective model.

We work under NDA with role-based access, encryption, and secure development environments, and we can deploy models in your own cloud or on-premise so data stays under your control. Xicom holds ISO/IEC 27001, ISO/IEC 42001, and SOC 2 Type II certifications.

Yes. We expose NLP capabilities through APIs and connect them with CRMs, help desks, document management systems, and data platforms. Our AI integration team plans the rollout so your current workflows keep running without disruption.