Natural Language Processing (NLP) Services
Teach your applications to read, understand, and generate human language. From intelligent document processing to real-time multilingual support — we unlock the value buried in your text data.
20+
Languages Supported
15+
NLP Models Shipped
98%
Client Satisfaction
94%+
Benchmark Accuracy
AI that reads, understands & speaks
Natural Language Processing bridges human communication and machine intelligence. It enables computers to extract meaning from text, detect emotion, translate languages, and generate human-quality content — at any scale.
With 80% of enterprise data locked in unstructured text — emails, contracts, reviews, tickets — NLP is the key to automating workflows and extracting intelligence that was previously invisible.
NLP Processing Pipeline
Raw Text
"Delivery was late but product quality is excellent!"
Tokenize
["Delivery", "was", "late", "but", "product", ...]
Embed
[0.82, -0.14, 0.55, 0.93, ...] ← 768-dim vector
Classify
Sentiment: Mixed | Aspects: delivery(-), quality(+)
NLP Services
Click any service to explore what's possible
Know how your customers feel — at scale
Sentiment Analysis
Automatically classify positive, negative, neutral, and mixed sentiments across reviews, support tickets, and social posts. Go beyond polarity — detect aspect-level emotions (e.g., "fast delivery but poor packaging").
Models & Tools
Use Cases
Accuracy on reviews
94.2%
Choosing the Right Model
We pick the optimal foundation model based on your task, data, latency, and budget
| Feature | BERT Classification | GPT-4 Generation | T5 Seq2Seq | Llama 3 Open Source |
|---|---|---|---|---|
| Architecture | Encoder-only | Decoder-only | Encoder-Decoder | Decoder-only |
| Best For | Classification, NER | Generation, Chat | Translation, Summarization | Open-source generation |
| Parameters | 110M | ~1.8T (est) | 11B (large) | 70B (large) |
| Fine-tuning | ✓ Easy | API only | ✓ Easy | ✓ Full control |
| Cost | Very Low | High (API) | Low | Free / Self-host |
| Multilingual | mBERT (104 langs) | 50+ langs | mT5 (101 langs) | Limited |
| Privacy | ✓ On-premise | ✗ API | ✓ On-premise | ✓ On-premise |
BERT
ClassificationGPT-4
GenerationT5
Seq2SeqLlama 3
Open SourceNot sure which model fits your use case? Let's talk — we'll guide you to the right architecture.
Industries We Serve
E-Commerce
Product recommendations, review sentiment analysis, chatbot support, catalog optimization
Education
Smart tutoring systems, content summarization, automated grading, student feedback analysis
Healthcare
Clinical note parsing, ICD coding automation, patient feedback analysis, drug interaction extraction
Food & Restaurant
Menu optimization, customer review analysis, chatbot ordering support, demand forecasting
Our NLP Process
From raw text to production-grade inference
Data Collection & Annotation
Gather domain-specific text and build high-quality labeling pipelines using Label Studio or Prodigy — covering schemas from sentiment labels to span-level NER annotations.
Preprocessing & Tokenization
Clean, normalize, and tokenize text with domain-aware preprocessing: handling medical abbreviations, legal citations, financial symbols, and multilingual scripts.
Model Selection & Fine-tuning
Choose the optimal foundation model for your task size and latency. Fine-tune on your domain data using parameter-efficient methods (LoRA, adapters) to minimize cost.
Evaluation & Benchmarking
Evaluate against industry benchmarks (F1, BLEU, ROUGE, EM) and your own held-out test set. Run error analysis to identify and fix systematic failure modes.
API Deployment & Monitoring
Serve via low-latency REST endpoints with streaming support. Monitor semantic drift, token usage, latency p99, and response quality in production.
Tools & Technologies We Use
Frequently Asked Questions
Ready to Unlock Your Text Data?
Transform unstructured text into structured intelligence. Let's build NLP tailored to your language, domain, and scale.