NLP Development · AI Services

Natural Language Processing Services

Build NLP applications for search, chat, and document intelligence across business workflows. HDWEBSOFT helps teams turn unstructured text — emails, tickets, contracts, reviews, transcripts — into structured intelligence that drives faster decisions and better customer experience.

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NLP at HDWEBSOFT

14+
Years in Industry
50+
AI Engineers
10+
Languages Supported
ISO
27001 Certified
ISO 9001:2015 CertifiedISO 9001:2015 CertifiedISO/IEC 27001:2022 CertifiedISO/IEC 27001:2022 Certified

What NLP development means at HDWEBSOFT

Natural Language Processing development at HDWEBSOFT means building software that reads, understands, and acts on human language — at scale and in production. We combine classical NLP techniques (tokenization, NER, classification, embeddings) with modern transformer models and LLMs to deliver applications such as conversational AI, semantic search, document intelligence, summarization, translation, and sentiment analysis. The goal is always business outcome: faster resolution, lower operating cost, better customer experience.

NLP is part of our broader AI development services, alongside machine learning and computer vision. Not sure where to start? Our AI consulting services can help define the right NLP strategy before development begins.

What we build with NLP

Conversational AI & Chatbots

Intent recognition, dialog management, and contextual understanding for customer support assistants, internal helpdesks, and lead-qualification bots — across web, mobile, and messaging channels.

Semantic Search & RAG

Vector-based search engines and Retrieval-Augmented Generation systems that let users find answers across documents, policies, and product catalogs in natural language.

Document Intelligence

Automated extraction, classification, and routing of contracts, invoices, claims, and forms. Convert unstructured documents into structured, queryable data.

Sentiment & Feedback Analysis

Mine reviews, support tickets, surveys, and social media for sentiment, themes, and emerging issues — wired into dashboards or alert systems for product and CX teams.

Summarization & Generation

Auto-summarize long reports, meeting transcripts, and email threads. Generate first-draft content, product descriptions, or knowledge-base articles with human-in-the-loop review.

Translation & Multilingual NLP

Cross-language search, content localization, and multilingual support agents — built on modern transformer models tuned for your domain and tone.

From Text to Intelligence

Unlock the value buried in your text data

Tickets, contracts, reviews, transcripts — your richest data is unstructured. We help you turn it into decisions and automation.

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NLP use cases by industry

Customer support and contact centers

NLP-powered assistants triage incoming tickets, deflect repetitive questions, and route complex cases to the right agent with context already gathered.

  • Automated ticket classification and priority scoring
  • Agent-assist with suggested responses and knowledge lookup
  • Sentiment-aware escalation for high-risk conversations
  • Quality monitoring on call transcripts and chat logs

NLP technology we work with

Our NLP stack combines proven open-source frameworks, modern LLMs, and managed cloud services — selected per use case based on accuracy, latency, cost, and data-residency requirements.

LLM Platforms

OpenAI (GPT-4, GPT-4o), Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, and open-weight models (Llama, Mistral, Qwen) deployed on-prem or in private cloud.

NLP Frameworks

Hugging Face Transformers, spaCy, NLTK, Stanford NLP, Gensim, FastText, and sentence-transformers for fine-tuning, embeddings, and classical pipelines.

Orchestration & RAG

LangChain, LlamaIndex, Haystack, and custom pipelines for tool use, agentic workflows, and Retrieval-Augmented Generation against your knowledge base.

Vector Databases

Pinecone, Weaviate, Qdrant, Milvus, pgvector, and Elasticsearch with dense retrieval — chosen based on scale, latency, and hosting constraints.

Speech & Multimodal

Whisper, Deepgram, AssemblyAI, and Azure/Google speech services for transcription, plus multimodal models for image-aware NLP applications.

MLOps & Evaluation

MLflow, Weights & Biases, LangSmith, Ragas, and custom eval harnesses for tracking accuracy, hallucination, latency, and cost in production.

Why teams choose HDWEBSOFT for NLP

Production Discipline

We build NLP systems that ship — with monitoring, evaluation harnesses, fallback logic, and rollback strategies — not demos that break under real traffic.

Model-Agnostic Approach

We pick the right model — open-source or commercial, hosted or self-hosted — based on accuracy, cost, and compliance needs. No lock-in to a single vendor.

Security & Data Governance

ISO 27001-aligned processes, secure data handling, PII redaction pipelines, and on-prem or VPC deployment for regulated workloads.

Cost-Aware Engineering

LLM bills can spiral fast. We design with caching, smaller fine-tuned models, hybrid retrieval, and routing strategies that keep unit economics healthy at scale.

Evaluation-First Culture

Every NLP system ships with a measurable eval harness — accuracy, hallucination rate, latency, cost — so improvement is data-driven, not vibes-driven.

14+ Years of Delivery

More than a decade building software in Vietnam, with a senior team that has shipped real systems across healthcare, finance, retail, logistics, and SaaS.

Frequently Asked Questions

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