NLP Development Services
Transform text data into actionable insights with production NLP systems. Text classification, NER, sentiment analysis, summarization, and more with 90%+ accuracy using BERT and transformers.
90-95%
Model Accuracy
Achieve 90-95% accuracy on NLP tasks with transformer models like BERT and GPT.
80-95%
Time Savings
Automate text processing and analysis, saving 80-95% of manual work time.
6-10 weeks
Deployment Time
From project kickoff to production NLP system in 6-10 weeks.
NLP Services
Text Classification
- ✓ Sentiment analysis (positive/negative/neutral)
- ✓ Topic classification and categorization
- ✓ Spam detection and content moderation
- ✓ Intent classification for chatbots
- ✓ 90-95% accuracy with BERT fine-tuning
Named Entity Recognition (NER)
- ✓ Extract people, organizations, locations
- ✓ Custom entity types (products, diseases, financial terms)
- ✓ Multi-language NER support
- ✓ 85-93% F1-score on domain-specific NER
- ✓ Applications: Contract analysis, medical records, news
Text Summarization
- ✓ Extractive summarization (select key sentences)
- ✓ Abstractive summarization (generate new text)
- ✓ Multi-document summarization
- ✓ Customizable summary length
- ✓ Applications: News, research papers, reports
Question Answering
- ✓ Extract answers from documents
- ✓ Multi-hop reasoning for complex questions
- ✓ Confidence scoring
- ✓ 85-92% exact match accuracy
- ✓ Applications: Customer support, document search
Text Generation
- ✓ Content generation for marketing, blogs
- ✓ Product description generation
- ✓ Email and message drafting
- ✓ Fine-tuned GPT models for domain-specific text
- ✓ Human-in-the-loop for quality control
Information Extraction
- ✓ Extract structured data from unstructured text
- ✓ Relation extraction (e.g., works_for, located_in)
- ✓ Event extraction from news
- ✓ Applications: Contract analysis, resume parsing
Technology Stack
Models
- • BERT, RoBERTa, DistilBERT for classification
- • GPT-3/4 for text generation
- • T5, BART for summarization
- • spaCy for NER and linguistic features
- • Custom fine-tuned models for your domain
Infrastructure
- • Hugging Face Transformers
- • PyTorch / TensorFlow
- • FastAPI for model serving
- • Docker + Kubernetes for deployment
- • GPU inference optimization
Case Study: Legal Document Analysis
Challenge: Law firm analyzing 10K+ contracts/month manually
Solution: Custom NER + text classification + information extraction
Results:
- • Entity extraction accuracy: 91%
- • Clause classification: 94% accuracy
- • Analysis time: 2 hours → 5 minutes (-98%)
- • Risk identification: +85% detection
Business Impact:
- • Investment: ₹45L
- • Annual savings: ₹2.8Cr (lawyer time)
- • ROI: 622% first year
- • Capacity: +400% more contracts reviewed
Pricing
Basic
₹12-25L
- ✓ Single NLP task
- ✓ Pre-trained model fine-tuning
- ✓ API deployment
- ✓ Basic monitoring
- ✓ 6-8 weeks
Advanced
₹35-70L
- ✓ Multiple NLP tasks
- ✓ Custom model architecture
- ✓ Production pipeline
- ✓ Advanced monitoring
- ✓ 8-12 weeks
Enterprise
Custom
- ✓ End-to-end NLP platform
- ✓ Multi-language support
- ✓ Managed services
- ✓ 99.9% uptime SLA
- ✓ 24/7 support
Build Production NLP Systems
Transform your text data into insights. Get a free NLP consultation and project assessment.
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