Natural Language Processing at Shivacha
Techniques for classifying, extracting and understanding text at scale.
Overview
NLP turns text into structured signals: categories, entities, sentiment and relationships. We combine transformer models, LLMs and classical techniques, choosing the most accurate and cost-effective approach for each volume and task.
Why we use it
- Text classification
- Entity extraction
- Sentiment and topics
- Multilingual understanding
How we use it
Natural Language Processing in our engineering work
Routing
Ticket and email classification.
Extraction
Entities from documents.
Analytics
Voice-of-customer insights.
Services
Services that use Natural Language Processing
NLP Development
Natural language processing for classification, entity extraction, sentiment, search and multilingual text understanding.
Learn moreAI Document Processing
Intelligent document processing that reads invoices, contracts, IDs and forms, extracts validated data and routes exceptions.
Learn moreMachine Learning Development
Custom machine learning models for prediction, scoring, forecasting and recommendation, deployed and monitored with MLOps.
Learn moreComputer Vision Development
Computer vision systems for inspection, detection, recognition and visual analytics — from cloud APIs to edge devices.
Learn moreAI Data Solutions
Data engineering for AI: pipelines, warehouses, feature stores, vector indexes and governance that make AI systems accurate.
Learn moreProducts
Products built with Natural Language Processing
Pairs well with
What we combine with Natural Language Processing
Models, retrieval, agents and ML operations.
Build with Natural Language Processing.
Tell us about your project, or the engineers you need, and we will propose an approach.