NLP Development Language AI tuned to your domain terminology — not generic English models.
Process and understand human language with high-accuracy AI models. Delivered by our AI & Machine Learning team in 4 to 10 weeks. USD pricing.
Part of our AI & Machine Learning practice — see related capabilities below.
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Who we've built for.
How we work
- Focus
- NLP Development
- Stack
- OpenAI GPT-4o · Anthropic Claude · LangChain · LangGraph · Pinecone · Weaviate · pgvector · Python · FastAPI
- Integrations
- Slack · Microsoft Teams · Salesforce · HubSpot · Zendesk · custom APIs · vector databases
- Typical timeline
- 4 to 10 weeks
- Compliance
- EU AI Act · GDPR · SOC 2 · zero-retention API options · EU data residency
We build NLP systems that understand your documents, tickets, and customer messages. Entity extraction, summarization, classification, and semantic search — hybrid LLM and classical NLP where each fits best.
Recent AI builds — named clients
Built a complete Legal AI Contract Review & Drafting platform from scratch, with LLM fine-tuning, MS Word add-in, and multi-dashboard ecosystem
Read case study →
All-in-one hospital platform with AI medical history in seconds, staff, patients, inventory, CRM & finance
Read case study →
Unified company knowledge graph, graph RAG, SOC/ISO PR scans & LLM implementation.md from every source
Read case study →
1.6B EAN product API, Next.js dashboard, Amazon/Walmart Chrome extension with Keepa charts
Read case study →What we deliver — NLP
Named entity recognition
Extract people, products, dates, and custom entities from contracts and reports.
Document classification
Route incoming documents, emails, and tickets to the right team automatically.
Sentiment and intent analysis
Monitor customer feedback, social mentions, and support queues in real time.
Semantic search
Search internal wikis and knowledge bases by meaning, not just keywords.
Summarization pipelines
Long document and meeting transcript summaries with citation and audit trails.
Multilingual NLP
Models and pipelines supporting EU languages, Arabic, and Asian markets.
Capability detail: AI & Machine Learning, AI Chatbot Development, Generative AI, Machine Learning, Computer Vision, AI Consultation.
Typical engagement ranges
AI feature integration
From $7,000
- LLM feature inside existing product.
- Single use case, 4 to 6 weeks.
- OpenAI or Claude API.
Production AI system
From $12,000
- RAG, agents, or multi-step workflows.
- Evaluation harness and monitoring.
- Typical 6 to 10 weeks.
Enterprise AI program
From $35,000
- Multiple AI products or divisions.
- Compliance documentation.
- Dedicated team retainer option.
FAQ
LLMs excel at messy, varied documents. Classical models win on high-volume, structured extraction with strict latency. We often combine both.
Yes — fine-tuning, glossary injection, and domain-specific evaluation sets ensure models understand your terminology.
Precision, recall, and F1 on labeled test sets from your data. Business stakeholders review sample outputs before production cutover.
Yes — Elasticsearch, OpenSearch, Algolia, and vector DB backends are common integration targets.