✦ AI & Data Services

Natural Language Processing (NLP)

We build production NLP systems for text classification, sentiment analysis, information extraction, document summarization, and LLM fine-tuning — enabling businesses to process millions of text records and extract structured insights from unstructured data at speed.

98%Text Classification Accuracy
10M+Documents Processed
15+Languages Supported
50%Doc Review Time Saved
Our Services

What We Deliver

Comprehensive solutions designed around your business goals — built by specialists who've deployed these systems at scale.

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Sentiment & Opinion Analysis

Real-time sentiment scoring of customer reviews, social media mentions, support tickets, and NPS surveys at enterprise scale.

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Text Classification & Tagging

Automated document categorization, topic labeling, intent detection, and content moderation using fine-tuned transformers.

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Named Entity Recognition

Extract people, organizations, locations, dates, and custom entities from contracts, medical records, and news feeds.

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Document Summarization

Automatic abstractive and extractive summarization of legal documents, research papers, meeting transcripts, and reports.

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Machine Translation

Custom neural translation for domain-specific text — legal, medical, technical — where generic tools fall significantly short.

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LLM Fine-Tuning

Fine-tune Llama, Mistral, or GPT on your proprietary data for domain-specific Q&A, generation, and classification tasks.

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Why It Matters

Process Text at the Speed of Business

Manual document review is the single largest bottleneck in legal, finance, healthcare, and compliance workflows. NLP systems process the same volume in minutes with consistent accuracy and zero cognitive fatigue.

PythonspaCyHugging Face TransformersBERTRoBERTaGPT-4LangChainTesseractAWS TextractLabel StudioProdigyFastAPIPostgreSQLElasticsearch
Scale Without Headcount

NLP systems process 10,000+ documents per hour — work that would require hundreds of analysts working around the clock.

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Multilingual by Design

Hindi, Tamil, Telugu, Marathi, Bengali, Arabic, and 10+ more — our NLP systems handle India's linguistic diversity.

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Domain-Specific Accuracy

Fine-tuned on your industry vocabulary, our models outperform generic NLP by 15–30% on domain-specific tasks.

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On-Premise Option

For sensitive legal, medical, or financial text — we deploy entirely within your infrastructure with zero external API calls.

How We Work

Our Proven Delivery Process

A structured, agile methodology that delivers on time, on budget, and beyond expectations — every single time.

01

Data Collection & Annotation

Collect domain-specific text and coordinate annotation using Label Studio or Prodigy.

02

Model Selection & Baseline

Benchmark spaCy, BERT, RoBERTa, and LLM approaches to identify the best architecture.

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Fine-Tuning & Evaluation

Fine-tune on annotated data with rigorous cross-validation and error analysis for each class.

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API Development & Integration

Wrap models in production APIs and integrate with your document management or CRM platform.

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Monitoring & Maintenance

Track performance on new text distributions and retrain as language patterns evolve.

Why ScaleUpTH

Why Businesses Choose Us

We combine technical depth with business pragmatism — delivering solutions that create real, measurable impact.

Millions of Documents Per Day

What 10 analysts process in 8 hours, NLP systems handle in minutes — with consistent, auditable accuracy.

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15+ Language Support

Hindi, Tamil, Marathi, Bengali, Kannada, and international languages — all in the same pipeline.

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Domain Vocabulary Handling

Fine-tuned models understand your industry's specific terminology — clinical notes, legal clauses, financial jargon.

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On-Premise for Sensitive Data

Full on-premise deployment for legal, medical, and financial text that cannot traverse external APIs.

FAQ

Frequently Asked Questions

Everything you need to know before getting started.

Can NLP handle industry-specific jargon?+
Yes — fine-tuning transformers on domain data significantly improves accuracy on legal, medical, financial, and technical terminology compared to generic pre-trained models.
How accurate is your sentiment analysis?+
For well-defined tasks with sufficient training data, we typically achieve 92–97% accuracy. Accuracy varies by domain, language, and the complexity of sentiment nuance.
Can you extract data from scanned PDFs?+
Yes — we combine OCR (AWS Textract, Google Document AI, or Tesseract) with NLP extraction pipelines to process scanned documents at enterprise scale.
Do you support real-time NLP inference?+
Yes — production NLP APIs with sub-200ms response time for most classification and extraction tasks using optimized model serving.
What annotation tools do you use?+
Label Studio and Prodigy for structured annotation projects. We can work with your existing annotators or manage annotation teams for large labeling projects.
Ready to Start?

Let's Build Your Natural Language Solution

Tell us your requirements — we'll have a tailored proposal and free consultation in your inbox within 24 hours.

Start Your Project 📞 +91 93370 35617
Get In Touch

Start Your Project
With Us Today

Share your vision — we respond within 24 hours with a tailored proposal and free consultation.

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LocationCuttack, Odisha, India
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HoursMon–Sat, 9 AM – 7 PM IST

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