Do you fine-tune models or use prompting?

Both. For well-defined tasks with enough data, fine-tuning gives better accuracy and lower cost. For flexible or evolving tasks, LLM prompting with few-shot examples is more practical. We recommend based on your data and accuracy needs.

What languages do you support?

We build NLP systems for English, Hindi, and most major languages. Multilingual models and per-language evaluation are standard for international deployments.

Can you process scanned documents?

Yes. We combine OCR (optical character recognition) with NLP pipelines to extract and process text from scanned PDFs, images, and handwritten documents.

How do you handle domain-specific terminology?

We build custom vocabularies, use domain-adapted embeddings, and fine-tune on your specific data to ensure the system understands your industry terminology accurately.

Service/Legal

NLP Development Services

Extract meaning, classify intent, and automate language tasks at scale.

We build custom NLP systems for document processing, entity extraction, sentiment analysis, classification, and summarisation. Built on modern LLMs and fine-tuned models, evaluated rigorously, and deployed with production monitoring.

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Key outcomes

Automated processing of unstructured text at scale
Custom models trained on your domain-specific data
Measurable accuracy with evaluation pipelines

Delivery speed

AI-speed delivery

NLP pipeline architecture and data annotation strategyCustom model training or LLM prompt engineeringEntity extraction, classification, or summarisation systemEvaluation framework with precision/recall metricsProduction deployment with monitoring dashboardsNLP pipeline architecture and data annotation strategyCustom model training or LLM prompt engineeringEntity extraction, classification, or summarisation systemEvaluation framework with precision/recall metricsProduction deployment with monitoring dashboards

Who it's for

Built for teams that need this now

This service was designed around a specific kind of problem. If any of these sound like your team, you're in the right place.

Data teams processing documents

Needing automated extraction, classification, and summarisation from large document volumes

Legal and compliance teams

Requiring entity extraction, contract analysis, and regulatory document processing

Product teams adding text intelligence

Wanting sentiment analysis, topic classification, or search powered by NLP

Common triggers

Signs you need this

Most teams come to us after one of these moments. Recognise any of them?

Manual document review is creating bottlenecks and costing you team hours

Your search system returns irrelevant results because it's keyword-based

You need to extract structured data from unstructured text at scale

Customer feedback analysis is manual and inconsistent

You want to classify, route, or prioritise documents automatically

Recognise two or more of these?

Let's talk - no commitment

30+

Products in production

“We treat every nlp development services engagement as a production commitment - not a prototype.”

- Thinkscoop Engineering

How we deliver

4 phases to production

Every engagement follows a structured delivery process with clear artifacts at each stage - so you always know exactly where you are.

Assess01

Data & Task Analysis

Document corpus audit and annotation planTask definition (extraction, classification, summarisation)Model selection rationale (LLM vs fine-tuned)Baseline accuracy measurement

Build02

Pipeline Development

NLP pipeline with preprocessing and inferenceCustom model training or prompt engineeringEntity extraction / classification / summarisation systemOutput validation and confidence scoring

Evaluate03

Quality Validation

Precision, recall, and F1 evaluationHuman evaluation protocolEdge case analysis and failure cataloguePerformance benchmarks (latency, throughput)

Deploy04

Production & Scale

Production deployment with batch or real-time inferenceMonitoring for accuracy driftRetraining pipeline and scheduleAPI documentation and integration guide

Questions

Straight answers

The questions we get asked most often. No marketing spin - just clear answers.

Ask us anything

What you get

Every deliverable, spelled out

NLP pipeline architecture and data annotation strategy

Custom model training or LLM prompt engineering

Entity extraction, classification, or summarisation system

Evaluation framework with precision/recall metrics

Production deployment with monitoring dashboards

Ready to get started?

NLP Development Services starts with a 30-minute call.

No sales pitch. We'll scope your project, challenge assumptions, and tell you honestly if this is the right fit - before anything is signed.

Book a Discovery Call See relevant work