NLP Development Services

NLP is the broader set of techniques for classifying, extracting, searching, and understanding text. Chatbots are one product surface. Many high-ROI NLP systems never chat — they quietly structure documents and route work.

Stable taxonomies with clear labels often favour efficient classifiers. Open-ended summarisation, messy documents, and rapid schema change often favour LLMs — with grounding and review. We choose per task after a baseline comparison, not by fashion.

A focused classification or extraction service typically reaches production in 8–12 weeks. Multi-document, multi-language programmes with heavy integration take longer and are phased.

Most production NLP services range from $70,000 to $220,000 depending on corpus complexity, languages, and workflow integration. Ongoing inference and review-tooling costs are modelled during discovery.

Yes, with redaction, access controls, and deployment inside your security boundary when required. Handling rules are designed with your compliance stakeholders during discovery — not assumed.

Task metrics (precision, recall, F1, span-level accuracy) plus operational KPIs (review time, misroute rate, turnaround). We publish both so model scores cannot hide weak business impact.

RAG is a retrieval-plus-generation pattern often built on NLP retrieval. Pure NLP engagements may stop at classification, extraction, or search without a generative answer layer. We recommend RAG when grounded free-text answers are the product.

Yes. Multilingual pipelines are scoped by language volume and evaluation sets — we do not assume English-only models transfer without measurement.

If the text workflow and success metric are clear, we scope NLP directly. If you are prioritising among many AI opportunities, an AI readiness assessment clarifies sequence and data readiness first.

You do. Models, labels, and pipelines remain client-owned and exportable. We do not lock you into a proprietary black-box service for core classification logic.

Taxonomies drift and new document types appear. Production NLP needs sampled review and periodic retraining. We can hand off to your team or provide a monitoring retainer.