Turn Unstructured Text into Actionable Business Intelligence.
Unlock deep insights from text, customer feedback, emails, and unstructured documents with custom Natural Language Processing (NLP) solutions. StackDot builds advanced NLP pipelines that understand context, analyze human emotion, and automate document processing at scale.
AI Systems We Build
Sentiment analysis
Decode Customer Emotions, Brand Perception, and Feedback at Scale.
Analyze social media feeds, product reviews, support channels, and survey responses in real time using deep learning sentiment classification and emotion detection. Includes Multi-Class Sentiment & Emotion Analytics, Aspect-Based Sentiment Analysis (ABSA), Real-Time Social Media & Review Monitoring, Customer Churn Risk Signal Detection, and Multilingual Sentiment Processing.
Resume parsing
Automate Talent Screening and Candidate Profile Data Extraction.
Extract candidate contact info, work history, skills, certifications, and educational credentials from resumes in PDF or Word formats into structured JSON data. Includes Multi-Format Resume Data Extraction (PDF, DOCX), Candidate Skill & Experience Normalization, ATS Integration & Candidate Matching Logic, Unstructured Text to Structured Database Pipelines, and Automated Profile Scoring & Ranking.
Text summarization
Instant Neural Summaries for Complex Articles, Reports, and Legal Documents.
Deploy extractive and abstractive NLP models to automatically compress lengthy reports, legal contracts, research papers, and customer call transcripts into concise executive summaries. Includes Abstractive & Extractive Text Summarization, Executive Summary Generation for Long-Form Docs, Customer Call & Support Ticket Summarization, Contract & Legal Document Highlight Extraction, and Multi-Document Synthesis Pipelines.
Chat intent & entity extraction
Understand User Query Intent and Extract Key Parameters in Real Time.
Build intent classification and Named Entity Recognition (NER) models that identify what users want and extract key details like names, dates, locations, and product IDs. Includes Custom Intent Classification Models, Named Entity Recognition (NER) Pipelines, Slot Filling & Context Tracking Algorithms, Conversational AI & Search Engine Integration, and Multilingual & Industry Domain-Specific NER.
Why Businesses Choose StackDot for NLP
Domain-Specific Accuracy
We fine-tune NLP models on your specific industry terminology, acronyms, and jargon for maximum precision.
High Throughput Processing
Engineered text analytics pipelines that process millions of documents and text records per minute.
Multi-Language Capabilities
Deploy NLP solutions that analyze and understand content across 50+ global languages natively.
Privacy-First Data Protection
On-premise or secure cloud deployment options ensuring your proprietary document data never leaks.
Industries Using NLP Solutions
Active Industry
HealthTech & Medical
End-to-End Pipeline for Text Intelligence Systems
Dataset Annotation & Cleaning
Collect, clean, tokenize, and label domain-specific text data for model training.
Model Selection & Fine-Tuning
Select and fine-tune transformer models (BERT, RoBERTa, SpaCy, T5) tailored to your target task.
Pipeline Development
Build data ingestion, tokenization, entity mapping, and vector processing pipelines.
Validation & Precision Testing
Evaluate model precision, recall, F1-scores, and test against edge-case text inputs.
API Deployment & Integration
Deploy model pipelines as high-performance microservices connected to your existing enterprise software.
Use Cases
What Our Clients Say
“StackDot built an AI resume parser and candidate intent classifier for our HR platform. It reduced candidate screening time by 90% and correctly extracted skill profiles across thousands of resumes with over 96% accuracy.”
Case Studies
That Prove It
Explore what we're building, solving, and thinking.
Ready to Unlock the Value Hidden in Your Unstructured Text?
Let’s build custom NLP solutions that streamline document workflows and deliver real-time text intelligence.